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Dynamic transcriptome and histomorphology analysis of developmental traits of hindlimb thigh muscle from Odorrana tormota and its adaptability to different life history stages

BMC Genomics volume 22, Article number: 369 (2021) Cite this article

Abstract

Background

Systematic studies on the development and adaptation of hindlimb muscles in anura amphibians are rare. Here, we integrated analysis of transcriptome and histomorphological data for the hindlimb thigh muscle of Odorrana tormota (concave-eared torrent frog) at different developmental stages, to uncover the developmental traits of hindlimb thigh muscle from O. tormota and its adaptability to different life history stages.

Results

The development of hindlimb thigh muscle from O. tormota has the following characteristics. Before metamorphosis, myogenous cells proliferate and differentiate into myotubes, and form 11 muscle groups at G41; Primary myofibers and secondary myofibers appeared during metamorphosis; 11 muscle groups differentiated continuously to form myofibers, accompanied by myofibers hypertrophy after metamorphosis; During the growth process of O. tormota from G42 to G46, there were differences between the sexes in the muscle groups that differentiate into muscle fibers, indicating that there was sexual dimorphism in the hindlimb thigh muscles of O. tormota at the metamorphosis stages. Some genes and pathways related to growth, development, and movement ability of O. tormota at different developmental stages were obtained. In addition, some pathways associated with adaptation to metamorphosis and hibernation also were enriched. Furthermore, integrated analysis of the number of myofibers and transcriptome data suggested that myofibers of specific muscle groups in the hindlimbs may be degraded through lysosome and ubiquitin pathways to transform into energy metabolism and other energy-related substances to meet the physiological needs of hibernation.

Conclusions

These results provide further understanding the hindlimb thigh muscle development pattern of frogs and their adaption to life history stages.

Background

Vertebrate skeletal muscle is a type of large tissue of the body, which is mainly responsible for body movement, energy metabolism, protein storage and protection of internal organs and other important functions [1, 2]. The weight of hindlimb muscles of Anuras accounts for a large proportion of body weight. Compared with the hindlimbs of other vertebrate groups, the hindlimbs of anuras have stronger compliant muscles, which increases the movement ability [3,4,5]. Anuran’s locomotor performance in walking, jumping, and swimming varies from species to species [6,7,8]. It is closely related to habitat and morphology [6, 9, 10], and essentially, is related to anurans’ own muscle types and physiology [7, 11]. In addition, the muscles of amphibians also show adaptability to life history. For example, skeletal muscles has been shown to degrade to produce glycogen to meet their hibernation needs [12]. Although myogenesis has been studied in vivo and in vitro in many vertebrates [13], studies on the development of hindlimb muscles, especially those of anura amphibians, are usually limited to a few species [14,15,16,17,18]. The timing and pattern of myogenesis vary among anurans, and those differences have been correlated with lifestyles [19]. Most of these studies were focused on Xenopus laevis (African clawed frog) and a few species in family Ranidae, but the specific development patterns of different muscle groups have not been systematically described. In addition, most adult anura amphibians have sexual dimorphism and specific developmental stages such as aquatic to terrestrial, metamorphosis, and hibernation. However, few researchers have investigated gender differences in the development of hindlimb muscles and their adaptation to key life history stages.

The development of high-throughput sequencing technologies has allowed genes and pathways involved in the development processes of many vertebrates to be analyzed at the transcriptome level; for example, in pigs [20, 21], chickens [22], bighead carp [23], and X. laevis [24]. Analyzing data for tissue morphology of hindlimb muscles, transcriptome, and life history characteristics together may provide a more systematic and accurate insight into the development traits of hindlimb muscles in amphibians and their adaptability to key life history stages.

In this study, O. tormota was selected as the research model. We used the histomorphology, mRNA transcriptome, and life history characteristics information for tadpoles and adults at different developmental periods to analyze whether the differences in the growth and development of hindlimb thigh muscles between male and female O. tormota exist in the larval stages; whether the differences at different developmental stages exist in the molecular regulation of hindlimb thigh muscle, and what are the law of adaptability of hindlimb thigh muscles to metamorphosis, hibernation and other life-history stages. The results will provide a foundation for further understanding the hindlimb thigh muscle development pattern of mountain and stream frogs and their adaption to life history stages.

Results

Histomorphological features of the hindlimb thigh muscles of O. tormota at different developmental stages

From G26 to G36, the hindlimb thigh muscles consisted of myogenous cells (Fig. 1a). At G36, 11 groups of pre-myogenic masses of cells and a small number of long cylindrical multinuclear myotubes had formed (Fig. 1b). From G37 to G41, the hindlimb thigh muscles consisted mainly of myotubes (Fig. 1c, d) and the nuclei of multinucleated myotubes moved from the center to the edge until G41 (Fig. 1d). At G41, 11 muscle groups had formed (Fig. 1e). From G42 to 10 months old, the hindlimb thigh muscles consisted mainly of myotubes and myofibers. At G42, six muscle groups in the females (vastus medialis, gracilis minor, gracilis major, adductor magnus, musculus semimembranosus, and sartorius) and four muscle groups in the males (vastus medialis, gracilis minor, gracilis major, and adductor magnus) had differentiated into primary myofibers (Fig. 1f). At G45, a few secondary myofibers had formed around the primary myofibers (Fig. 1g). At G46, the male and female froglets both had a new muscle group that had differentiated into myofibers (biceps femoris for males; vastus lateralis for females) and the fusion of primary and secondary myofibers to form myofibers with two nuclei began to promote myofiber hypertrophy (Fig. 1h). The number of muscle groups with differentiated myofibers in one-month-old froglets after metamorphosis did not change compared with G46. These myofibers had 1 or 2 nuclei (Fig. 2a). Myofibers with three and four nuclei appeared at the 3-month-old stage (Fig. 2b) and these myofibers had increased hypertrophy. Exception for semitendinosus (in the form of tendons) and adductor longus, in the 5-month-old froglets, the other nine muscle groups differentiated into myofibers (Fig. 2c). In the 10-month-old froglets hindlimb thigh muscles, six muscle groups in the females (biceps femoris muscle, gracilis minor, gracilis major, adductor magnus muscle, musculi semimenbranosus and sartorius) and five muscle groups in the males (gracilis minor, gracilis major, adductor magnus muscle, musculi semimenbranosus and sartorius) completely developed into myofibers (Fig. 2d). At 14 months old, all these muscle groups existed as multinucleated myofibers (Fig. 2e–h). From the 14-month to 4-year-old stages, these myofibers underwent further hypertrophy. Comparative analysis of the number of muscle fibers in each muscle group at the 3-month-old (pre-hibernation) and 5-month-old (period of hibernation) stages showed that the number of muscle fibers decreased in three muscle groups in the females (gracilis major, musculus semimembranosus, and gracilis minor) and six muscle groups in the males (vastus lateralis, musculus semimembranosus, gracilis minor, gracilis major, sartorius, and rectus femoris) (Fig. 3). Histomorphological features for other developmental stages were presented in Fig. S1.

Fig. 1
figure 1

Transverse section of hindlimb thigh muscles in different tadpole stages. Abbreviations: a G26; b G36; c G37; d G41; e G41; f G42; g G45; h G46. The rectangle represents two streams of myogenous cells. VM, vastus medialis muscle; MS, musculi semimenbranosus; AM, adductor magnus muscle; GM, gracilis major; VL, vastus lateralis muscle; BF, biceps femoris muscle; Sa, sartorius; Se, semitendinosus; GMi, gracilis minor; RF, rectus femoris muscle; AL, adductor longus. MC, myogenous cell; MT, myotube; P-MF, primary myofiber; S-MF, secondary myofiber. F-, corresponding muscle groups in the future

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Fig. 2
figure 2

Transverse section of hindlimb thigh muscles. Abbreviations: a 1-month old; b 3- month-old; c 5-month- old; d 10-month-old; e, 14-month-old; f 2-year-old; g 3-year-old; h 4-year-old. The hollow arrow refers to 2-, 3- or 4-nuclei myofibers. Magnification, 400x (bar = 50 μm)

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Fig. 3
figure 3

Comparison of the number of muscle fibers at 3-month-old and 5-month-old. MS, musculi semimenbranosus; GM, gracilis major; VL, vastus lateralis muscle; Sa, sartorius; GMi, gracilis minor; RF, rectus femoris muscle. *, P < 0.05 (one-way ANNOVA). Error bars indicate the mean ± SEM (standard error of mean)

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Transcriptome sequencing, de novo assembly, and gene annotation

Samples with obvious differences in histomorphological features and unique life history (metamorphosis and hibernation) were selected to screen for genes and pathways related to development and adaptation to the unique life history. The stages for selected samples were as following, G36 (myogenic cell state), G40 (myotube state), G42 (appearing primary myofibers, early metamorphosis), G45 (appearing secondary myofibers, late metamorphosis), 3-month-old (appearing 3 and 4 nuclear myofibers, pre-overwinter), 5-month-old (9 muscle groups differentiating into myofibers, overwinter), 14-month-old (all these muscle groups completely developing into multinucleated myofibers), and 2-year-old (myofibers undergoing further hypertrophy, adult). The correlation analysis of gene expression levels in the 18 hindlimb thigh muscle samples showed that the correlation of biological duplication was very high (R = 0.96–1.00) (Fig. S2). After filtering out the low-quality reads and trimming the adaptor sequences, we obtained 846,522,958 valid reads from the 18 libraries (Table S1). Quality control checks for each library showed that the clean sequences were of high quality, with Q30 values > 92.65% for all libraries. A total of 35,974 genes were identified with lengths of 201–74,670 bp (average length 403 bp) and N50 of 1151 bp. All genes were annotated against the GO, KEGG, Pfam, Swiss-Prot, eggNOG, and NR databases, which returned 9668 (26.87%), 9104 (25.31%), 8884 (24.7%), 9092 (25.27%), 10,582 (29.42%), and 12,388 (34.44%) matches, respectively.

Time series analysis of gene expression

Samples at eight different developmental stages formed seven time series profiles of gene expressions (Fig. 4). The GO functional enrichment analysis revealed significant differences among the different profiles (Table S2). Profile 2 contained many terms related to muscle growth, development, and movement, including structural constituent of muscle, myofibril assembly, skeletal muscle thin filament assembly, muscle fiber development, locomotory behavior and muscle contraction. The different profiles may provide new molecular characteristics related to muscle development and its adaptation to life history.

Fig. 4
figure 4

7 clusters obtained by time series analysis and PCA analysis. 3MO, 3- month-old; 5OM, 5-month- old; 14OM, 14-month-old; 2YO, 2-year-old

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Analysis of differentially expressed genes (DEGs)

A total of 11,482, 8352, 1254, 1911, 6865, 9561, and 8032 DEGs were detected in G36 vs G40, G40 vs G42, G42 vs G45, G45 vs 3- month -old, 3-month-old vs 5-month-old, 5-month-old vs 14-month-old, and 14-month-old vs 2-year-old adult comparisons, respectively (fold change ≥2; adjusted P value < 0.05) (Table S3).

Among the DEGs in the G36 vs G40 comparison, 280 had significantly enriched GO terms (P < 0.05), including cell proliferation, nervous system development, immune system process, skeletal muscle fiber development, cell division, hematopoietic progenitor cell differentiation, and chondrocyte differentiation (Table S4), among which 18 terms were related directly to muscle growth and development (Table S5). We screened out 141 DEGs that may be related to muscle growth and exercise, including MyoD, MyoG, MYF6, KLHL40, KLHL41, ALDOA, OBSCN, and TPM3 (Table S6). 11,482 DEGs were significantly enriched in 49 KEGG pathways (P < 0.05), including tight junction, focal adhesion, notch signaling pathway, oxytocin signaling pathway, and ECM–receptor interaction. (Fig. 5a).

Fig. 5
figure 5

KEGG pathways enriched in six comparable groups. a G36 vs G40 group. b G40 vs G42 group. c G45 vs 3-month-old group. d 3-month-old vs 5-month- old group. e 5-month- old vs 14-month-old group. f 14-month-old vs 2-year-old group

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Among the DEGs in the G40 vs G42 comparison, 181 had significantly enriched GO terms (P < 0.05), including skeletal muscle contraction, myosin filament, motor activity, regulation of myoblast differentiation, glycogen metabolic process, and glycogen biosynthetic process (Table S4), among which 21 terms were related directly to muscle growth, development, and exercise (Table S5). We screened out 149 DEGs that may be related to muscle growth and exercise, including MYF6, MEF2D, MEF2C, MYH8, MYH4, MYH3, MAIA, TNNI1, and MYOZ3 (Table S6), and 36 DEGs that may be related to glycogen metabolism, glycolysis process, and energy metabolism, including PGM5, PYGB, PYGM, PRKAG2, PRKAG3, AMPD1, and OXCT1. Thirty-six of these DEGs were up-regulated in G42 (Table S7). 8352 DEGs were significantly enriched in 46 KEGG pathways (P < 0.05), including tight junction, insulin signaling pathway, MAPK signaling pathway, ECM–receptor interaction, focal adhesion, and hedgehog signaling pathway (Fig. 5b).

Among the DEGs in the G42 vs G45 comparison, 178 had significantly enriched GO terms (P < 0.05), including myosin filament, cardiac muscle hypertrophy, skeletal muscle thin filament assembly, negative regulation of myoblast differentiation, and cardiac myofibril assembly (Table S4), among which 40 terms were related directly to muscle growth and development (Table S5). We screened out 55 DEGs that may be related to muscle growth and exercise, including MYH2, MYH4, LMOD3, MYH7B, MYH1, MYH8, MYL4, and TTN (Table S6).

Among the DEGs in the G45 vs 3-month-old comparison, 226 had significantly enriched GO terms (P < 0.05), including glucocorticoid receptor binding, glycogen metabolic process, skeletal muscle thin filament assembly, skeletal muscle myosin thick filament assembly, and skeletal muscle fiber development (Table S4), among which 38 terms were directly related to muscle growth and development (Table S5). We screened out 49 DEGs that may be related to muscle growth and exercise, including MA1A, TTN, ACTA1, MYH4, MYLK2, PRM, SLC8A3, and XK70A (Table S6), and 10 DEGs related to lipid metabolism, namely CEBPB, NOCT, PNOLA2, PLIN2, GM2A, PDK4, ACACB, MLYCD, PRKAG2, and HPGDS. Except for HPGDS, which was up-regulated at 3-month-old, all the other genes were up-regulated at G45 (Table S8). We also screened out 10 DEGs related to glucose metabolism, namely PRKAG2, PPPLR3C, PPPLR3CB, CAV3, PDK4, SLC8B1, SLC2A4, NCOA5, BAD, and PCK2. Except for NCOA5, which was down-regulated at 3-month-old, all the other genes were up-regulated at G45 (Table S8). 1911 DEGs were significantly enriched in 37 KEGG pathways (P < 0.05), including thyroid hormone signaling pathway, P53 signaling pathway, insulin signaling pathway, focal adhesion, FoxO signaling pathway, PI3K-Akt signaling pathway, MAPK signaling pathway, PPAR signaling pathway, and adipocytokine signaling pathway (Fig. 5c).

Among the DEGs in the 3-month-old vs 5-month-old comparison, 255 had significantly enriched GO terms (P < 0.05), including ATP metabolic process, muscle cell development, lysosome, autophagy, ubiquitin ligase complex, glycogen catabolic process, glucose metabolic process, and extrinsic apoptotic signaling pathway (Table S4), among which 47 terms were related to directly muscle growth and development (Table S5). We screened out 144 DEGs that may be related to muscle growth and exercise, including MYH8, MYH4, MYH6, TWF2-A, SCO1, FLOT2, TMOD4, MSTN, and PDGFRA (Table S6). We detected 21 DEGs related to glycogen synthesis and glucose metabolism that were down-regulated at 5-month-old (Table S9) and 76 DEGs related to mitochondria and energy metabolism, 74 of which were up-regulated at 3-month-old; the exceptions were KDM5C and HSD17B14, which were up-regulated in 5-month-old (Table S9). We also found 90 DEGs related to protein degradation in lysosome and ubiquitination pathways, most of which were up-regulated at 5-month-old; the exceptions were CTSK, CAT-1, RNF7, ASB15, ANAPC16, and UBE2C, which were up-regulated at 3-month-old (Table S9). 6865 DEGs were significantly enriched in 30 KEGG pathways (P < 0.05), including ECM–receptor interaction, focal adhesion, apoptosis, tight junction, and PI3K-Akt signaling pathway (Fig. 5d).

Among the DEGs in the 5-month-old vs 14-month-old comparison, 375 had significantly enriched GO terms (P < 0.05), including skeletal muscle contraction, skeletal muscle cell differentiation, skeletal muscle thin filament assembly, and positive regulation of myoblast fusion (Table S4), among which 44 terms may be related to muscle growth and development (Table S5). We screened out 215 DEGs that may be related to muscle development and exercise, including MSTN, MYBPC2, IGFBP4, IGFBPL1, MYOG, MYF6, MYF5, and PDLIM3 (Table S6). 9561 DEGs were significantly enriched in 34 KEGG pathways (P < 0.05), including ECM–receptor interaction, focal adhesion, tight junction, PI3K-Akt signaling pathway, and p53 signaling pathway (Fig. 5e).

Among the DEGs in the 14-month-old vs 2-year-old adult comparison, 429 had significantly enriched GO terms (P < 0.05), including muscle contraction, skeletal muscle myosin thick filament assembly, myofibril assembly, adult walking behavior, and muscle fiber development (Table S4), among which 55 terms were related directly to muscle growth, development, and exercise (Table S5). We screened out 192 DEGs that may be related to muscle development and exercise, including CAPZA1, ACTN4, SYNE2, SlC4A7, MYL12A, MEF2D, FBXO40, and MSTN (Table S6). 8032 DEGs were significantly enriched in 32 KEGG pathways (P < 0.05), including insulin signaling pathway, glycerophospholipid metabolism, PPAR signaling pathway, FoxO signaling pathway, focal adhesion, and hippo signaling pathway-fly (Fig. 5f).

RT-qPCR verification of randomly selected DEGs

To confirm the RNA-seq results, we randomly selected five DEGs (MYH4, MYH8, MYLPF, MYF6, and MYF5) related to muscle development and growth and one DEG (DNMT1) related to DNA methylation for verification by RT-qPCR. The RT- qPCR and RNA-seq data showed the selected genes had similar expression trends. Relative expression changes of qRT-PCR data were highly (r = 0.87–0.99) correlated with RNA-Seq data (Fig. 6), suggesting the reliability of the RNA-Seq method.

Fig. 6
figure 6

Validation of six DEGs by RT-qPCR. The r value represents Pearson’s correlation coefficient between two methods

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Discussion

Developmental histomorphological features of hindlimb thigh muscles of O. tormota

The hindlimb thigh muscles of O. tormota contained mainly myogenous cells from G26 to G36, myotubes from G37 to G41, and had formed 11 muscle groups at G41. These results are consistent with those reported for tissue sections of the tadpole stages of several anura amphibians [17], indicating that O. tormota also grew by muscle cell proliferation and differentiation before metamorphosis [18]. From G42 to 10-month-old, the hindlimb thigh muscles of O. tormota contained mainly myotubes and muscle fibers, which is consistent with a previous study that found that the hindlimb muscles of Rana pipiens and X. laevis grew mainly through hypertrophy and proliferation of muscle fibers [15]. After 14 months, the hindlimb thigh muscles of O. tormota contained only muscle fibers, implying that O. tormota maintained its muscle fiber hypertrophy after 14 months. During the growth process of O. tormota from G42 to G46, there were differences between the sexes in the time when muscle fibers appeared in different muscle groups. There also were differences in the types of muscle groups that existed completely in the form of muscle fibers between 10-month-old male and female froglets. These results indicated that there was sexual dimorphism in the hindlimb thigh muscles of O. tormota at the metamorphosis and juvenile frog stages, but the reasons for these differences need to be explored further.

Enriched genes and pathways related to development and adaptation of life history of O. tormota

Enriched GO terms in the G36 vs G40 comparison included nervous system development, immune system process, chondrocyte differentiation, and chondrocyte differentiation, indicating that the immune, bone, nervous, and circulation systems had developed in the hindlimb thigh muscles. The notch signaling pathway has been shown to be involved in somitogenesis, muscle development, and the proliferation and cell fate determination of muscle stem cells during regeneration [25], and the oxytocin signaling pathway was found to play key roles in skeletal muscle regeneration and homeostasis [26]. It also has been reported that oxytocin had important roles in myocardial development [27]. The extracellular matrix (ECM) regulates cell adhesion, differentiation, and proliferation [28], and ECM–receptor interactions have been shown to have a regulatory effect on the growth and development of chicken breast muscles [29]. Tight junctions are barriers that restricted the passage of fluids, proteins, and free ions into and out of paracellular pathways and are necessary for animal growth and development [30]. Focal adhesion, which is the connection between cytoplasm and ECM, plays important roles in cell signal transduction and the stability of cell membrane function [31]. In this study, the hindlimb thigh muscles contained mainly myogenic cells at G36, and mainly myotubes at G40. Among the DEGs, the enriched KEGG pathways included notch signaling pathway, oxytocin signaling pathway, ECM–receptor interaction, tight junction, and focal adhesion. These signaling pathways may play important roles in the differentiation of muscle cells into myotubes and myotube differentiation in the hindlimb thigh muscles of O. tormota. In the GO enrichment analysis, 141 DEGs that may be related to muscle growth and movement were screened out. Previous studies have shown that TCF7L2, HES2, and HES5 promoted cell proliferation in smooth muscles [32, 33]. MYOG also was found to be activated in the early stage of muscle development and acted as a muscle differentiation factor to regulate the differentiation formation stage [34]. MSTN and IGF-I had feedback regulation to coordinate and control cell proliferation [35, 36]. In G36, the expressions of TCF7L2, HES2, HES5, and MSTN were up-regulated, which combined with the proliferation and differentiation characteristics of muscle cells, suggested that these genes may be related to muscle growth and the proliferation and differentiation of muscle cells in the hindlimb thigh muscles of O. tormota at this stage. MYF6 expression has been shown to promote myotube formation [37]. MyoD is essential for the differentiation and formation of myogenic precursor cells, and without it, skeletal muscle was not formed [38]. TTN was shown to be related to the development of muscle fibers [39], KLHL40 was associated with myofibril assembly [40], and OBSCN was shown to be involved in sarcomere formation [41]. The expressions of MYF6, MyoD, TTN, KLHL40, and OBSCN were up-regulated in G40. The main morphological characteristics in G40 were myotube fusion and differentiation, suggesting that up-regulated genes related to muscle growth may affect the myotube fusion and differentiation in the hindlimb thigh muscles of O. tormota at G40.

In the G40 vs G42 comparison, 149 DEGs that may be related to muscle growth and exercise were screened out. MYF6 expression was shown to promote myotube formation [37], MEF2D promoted muscle tissue development [42], and FLOT2 was found to be related to myotube fusion [43]. LBX1 was related to muscle development and was shown to control the migration of myoblasts to the limbs [44]. MYBPC3 was related to muscle fiber assembly [45]. The expressions of MYF6, MEF2D, LBX1, FLOT2, and MYBPC3 were up-regulated in G42. Hindlimb thigh muscles in G42 consisted mainly of myotubes with a small number of primary muscle fibers appearing in some muscle groups, suggesting that these up-regulated genes may be related to myotube differentiation and formation of primary muscle fibers in the hindlimb muscles of O. tormota at this stage. The body temperature of a poikilothermal animal changes with changes in the environmental temperature, and their metabolism increases with increases in environmental temperature, within a certain temperature range. We identified 36 DEGs related to glycogen and energy metabolism, and their expressions were up-regulated in G42 (G42: 30 ± 0.08 °C; G20: 20.03 ± 0.12 °C), indicating a promoting effect. Their upregulation may be related to the increased metabolism needed to adapt the increasing environment temperature at G42, and the metabolism of glycogen may maintain energy metabolism under the condition of not entering food during the metamorphosis period. The insulin signaling pathway was related to the efficiency of protein synthesis, and insulin itself also promoted glucose transport [46, 47]. Therefore, the insulin signaling pathway is related to cell differentiation, body growth, and metabolism [48, 49]. Mitogen-activated protein kinase (MAPK) participates in the regulation of cell proliferation, differentiation, and transformation through the phosphorylation of nuclear transcription factors [50]. The hedgehog signaling pathway plays an important role in regulating cell growth and differentiation, tissue and organ formation, and maintenance of homeostasis during embryonic development. This pathway also interacts with the notch signaling pathway and Wnt signaling pathway [51]. Pathways enriched in G40 vs G42 were insulin signaling pathway, MAPK signaling pathway, ECM–receptor interaction, tight junction, focal adhesion, and hedgehog signaling pathway. These pathways may be related to myotube differentiation and formation of primary muscle fibers in the hindlimb thigh muscles of O. tormota.

In the G45 vs 3-month-old comparison, 49 DEGs that may be related to muscle growth and movement were screened out. MA1A, ACTA1, and TTN were related to the development of skeletal muscle fibers [52], MYH1 and MYH4 were related to myofibers formation [53], and SYNE1 was related to muscle cell development [54]. There were more muscle fibers and muscle fiber hypertrophy at 3-month-old than at G45, suggesting that the up-regulated genes related to muscle growth also may be related to the formation and hypertrophy of muscle fibers in the hindlimb thigh muscles of O. tormota at 3 months old. In G45, the tails of O. tormota were basically absorbed and no food was taken during the metamorphosis stage, which made O. tormota in a hungry-like state. The expressions of nine genes related to glycogen metabolism were up-regulated in G45, further suggesting that the hindlimb thigh muscles of O. tormota maintain blood sugar stability by increasing glycogenolysis under conditions of starvation to meet their energy metabolism needs. The thyroid hormone signaling pathway plays an important role in regulating growth, development, and body energy metabolism, and is involved in the metamorphosis development process of amphibians [55]. The p53 gene is involved in cell differentiation regulation [56, 57]. The FOXO signaling pathway is related to muscle protein degradation and material turnover [58], the PI3K-AKT signaling pathway is related to protein synthesis [59], and the PPAR signaling pathway is related to development, lipid, carbohydrate metabolism, inflammation, and differentiation of many cell types in different tissues [60]. Pathways enriched in G45 vs 3-month-old were thyroid hormone signaling pathway, p53 signaling pathway, insulin signaling pathway, focal adhesion, FOXO signaling pathway, PI3K-AKT signaling pathway, MAPK signaling pathway, and PPAR signaling pathway. These signaling pathways may be related to muscle growth of the hindlimb thigh muscles of O. tormota at this developmental stage.

Previous studies have shown that under the condition of low temperature in hibernation, the metabolism of amphibians is reduced to a very low level to adapt to the low temperature and state of starvation [61]. The metabolism reduction in most animals can be achieved mainly by inhibiting the metabolism of skeletal muscle (skeletal muscles make up about 40% of body weight) [61]. The mitochondrial respiration rate was found to decrease during hypoxic hibernation [61]. In the 3-month-old (15 ± 0.29 °C) vs 5-month-old (2.97 ± 0.17 °C) comparison, 21 DEGs related to glycogen synthesis and glucose metabolism were down-regulated at 5-month-old, implying down-regulation of glycogen synthesis and glucose metabolism, and 74 DEGs related to mitochondria and their energy metabolism were down-regulated at 5-month-old, implying down-regulation of mitochondrial energy metabolism. Together, these results suggest that the hindlimb thigh muscles of O. tormota also adapt to the hibernation condition of low temperature and state of starvation for 4 months by reducing their energy metabolism. Previous studies had shown that muscle protein degradation was accomplished through four main pathways, the lysosome pathway, calpain pathway, caspase pathway, and ubiquitin proteasome pathway [62,63,64,65]. In this study, lysosome and ubiquitinated proteolytic GO terms were enriched. Most of the 90 DEGs related to protein degradation in the lysosome and ubiquitinated pathways were up-regulated at 5-month-old, the except CTSK, CAT1, RNF7, ASB15, ANAPC16, and UBE2C, which were up-regulated at 3-month-old. Among them, the ubiquitination-related genes UBR4, RNF25, and Trim63 have been reported to be related to muscle fiber degradation [66,67,68]. The analysis of histomorphological characteristics showed that the muscle fibers of six muscle groups were significantly reduced in males at 5-months-old compared with males at 3-months-old. In a recent study, skeletal muscle was found to degrade to produce glycogen for amphibians to adapt to hibernation [12]. Therefore, muscle fibers in specific muscle groups of the hindlimb thighs of O. tormota may degrade through the lysosome and ubiquitination pathways. The degraded muscle fibers could be converted into energy metabolism and other energy-related substances to adapt to hibernation.

The hindlimb thigh muscles of O. tormota at 14-month-old were in the form of muscle fibers. These muscle fibers showed hypertrophy at 14 months compared with their condition at 5 months. At this stage, the sub-adult O. tormota could jump flexibly and predation. In the 5-month-old vs 14-month-old comparison, 215 DEGs related to muscle growth and movement were screened out. These genes may be related to muscle fiber development and movement ability of the hindlimb thigh muscles of O. tormota. The histomorphological characteristics showed that the muscle fibers had further hypertrophy from 14-month-old to 2-year-old adults. At 2 years, adult O. tormota preyed and competed for mating rights in the complex habitat around streams. In the 14-month-old vs 2-year-old comparison, 192 DEGs related to muscle growth and movement were screened out. These genes may be related to the maturation and regeneration of muscle fibers and exercise capacity of the hindlimb thigh muscles of O. tormota. Previous studies have shown that the hippo signaling pathway was connected with the TGF-β signaling pathway and could control the size of organs by regulating ubiquitin-mediated proteolysis, cell proliferation, and apoptosis [69]. Therefore, the enriched pathways, insulin signaling pathway, PPAR signaling pathway, FOXO signaling pathway, focal adhesion, and hippo signaling pathway, may be related to the maturation and regeneration of muscle fibers and exercise capacity of the hindlimb thigh muscles of O. tormota.

Although only two biological replicates were used for the transcriptome samples in this study, the same feeding conditions, uniform genetic background from having the same parents, distinguished gender, consistent sampling of tissues, and high correlation of the biological replicates (the gene expression levels between samples; R = 0.96–1.00) ensured the reliability of the data analysis. The RT- qPCR verification of gene expression also supported the good correlation of sample biological repetition.

Conclusions

In this study, by integrating tissue morphological characteristics, life history characteristics, and mRNA expression profiles at different developmental stages, we successfully screened genes and pathways related to the growth, development, movement, and adaptation to life history of hindlimb thigh muscles of O. tormota. Our results will help to further understand the development patterns of hindlimb thigh muscle in frogs and the molecular mechanisms involved in their adaptation to life history.

Methods

Odorrana tormota (concave-eared torrent frog) is a small sized frog with typical sexual dimorphism. The weight and length of adult females are larger than those of adult males. After metamorphosis, they live mainly on land around streams in mountainous areas [70,71,72,73,74]. Their habitat, life history, breeding methods, and genetic background are relatively well known. Therefore, O. tormota is an ideal model for the study of sexual differences in muscle development of Ranidae species and their adaption to life history stages.

Breeding methods

In the wild mountain stream, a litter of fertilized egg samples containing about 600 eggs was selected and enclosed them with a 40-mesh gauze within about 1 m2 for incubation. After the fertilized eggs hatch, these tadpoles were averagely put into 6 breeding ponds (Length*width*height: 0.75 cm*0.45 cm*0.40 cm) constructed near the mountain stream. Each tadpole breeding pond simulated the stream environment, introduced the stream water, kept 6-8 cm of the water depth, and retained the water flowing. The tadpoles raised with egg yolks and boiled vegetable leaves (1:1) twice a day, and each feeding amount was about 10% of the tadpole’s body weight. Tadpoles at the G42 were moved from the tadpole breeding pond to the froglet breeding pond. The tadpoles (G42-G46) stopped eating during the metamorphosis stage. Pebbles were placed on the bottom of the froglet breeding pond (Length*width*height: 2 m*2 m*0.8 m) with a certain slope. Then, the stream water was introduced into the pond with a depth about 5 cm, and the water area and land area ratio was about 2:1. The pool was sealed with a gauze net to prevent the escape of froglets and their edible insects. At the corner of the froglet pond, rocks of different sizes piled up to form gaps to provide hibernating nests for froglets. Finally, the corner was covered with a layer of sand and dead leaves for insulation. The feeding conditions of froglets after hibernation were basically the same as those before hibernation.

Sample collection

Individuals were raised in the natural environment of the wild habitat from the fertilized eggs stage to the 14-month-old sub-adult stage. A litter of fertilized egg samples containing about 600 eggs was selected for breeding. Tadpoles and frogs were euthanized by MS-222 overdose, and dissected with scissors soaked in a 0.1% diethylpyrocarbonate solution. In order to facilitate research, we divide the development of frogs into three kinds of stages, tadpole stages, froglet stages, and adult stages. According to the criteria for dividing periods defined by Gosner (1960), 46 stages (G1–G46) from fertilization to completion of tadpole metamorphosis were recognized. The age classification criteria for the froglets were as follows: one-month-old, 1 month after metamorphosis; 2-months-old, 2 months after metamorphosis; and so on. O. tormota began to appear the hindlimb buds at G26. In this study, G26 to G41 were the pre-metamorphosis stages, and G42 to G46 were the metamorphosis stage. The sex of each sample at the tadpole and the juvenile frog stages was distinguished according to the characteristics of the gonadal tissues [75]. The histological characteristics of the gonads at the different development stages showed that sex differentiation of O. tormota began at G34 (Fig. S3). We obtained a total of 220 samples from G26 to 14-month-old froglets (26 developmental stages). There were 5 samples at each stage of sex undifferentiated (G26 to G33), and 5 males and 5 females at each stage after sex differentiation (G34 to 14-month-old). Adult frogs were captured in the stream area near the breeding site. The ages of the adults were judged by skeletochronology with one growth arrest line defined as 2 years old [76] (Fig. S4). Three male and three female frogs at 2 years old, 3 years old, and 4 years old (a total of 18 frogs) were selected as samples. The temperature of the aquatic habitat for the groups before the metamorphosis was measured by placing a thermometer probe 10 cm below the water, and that of the terrestrial habitat for the groups for and after the metamorphosis was measured 10 cm above the ground with the temperature probe to measure the air temperature. The temperatures were measured at 10 am. The temperature of the collected samples is kept similar with the ambient temperature of the habitat by temperature control equipment (KFR-35GW/NhGe3B, Zhuhai Gree Electric Co., Ltd., Zhuhai, China). All samples information is presented in Table S10.

Analysis of histomorphological features of hindlimb thigh muscles

Three normal-growth tadpoles were selected randomly at each developmental stage before sex differentiation. After sex differentiation, three normal-sized male and three normal-sized female frogs were chosen randomly at each developmental stage. The tissue sections and hematoxylin and eosin (H&E) staining methods were according to Manzano et al. [17]. For each sample, the slices that had the largest cross-sectional area were selected for tissue morphological analysis. The terminology and classification of the muscles was according to Chen et al. and Manzano et al. [17, 77]. An Olympus BX61 microscope (Olympus, Tokyo, Japan) was used to take pictures of the cross-sections of the hindlimb thigh muscles and each muscle group to analyze the tissue morphological characteristics. The number of muscle fibers of each muscle group was counted by Image-Pro Plus 6.0 (Media Cybernetics Inc., Rockville, MD, USA). One-way ANNOVA was used to compare the number of muscle fibers.

RNA extraction and mRNA sequencing library construction

We selected 18 individuals as samples as follows: two male tadpoles at G36 (myogenic cell state), G40 (myotube state), G42 (early metamorphosis), and G45 (late metamorphosis); two male froglets at 3 months old (pre-overwintering) and 5 months old (overwintering); two male and two female sub-adult frogs at 14 months old; and two male adult frogs at 2 years old. From the tadpole stages to 14-month-old froglets, the muscles from the same part of the hindlimb thighs were selected from both legs and mixed. For the 2-year-old adult frogs, the hindlimb muscles were taken from one leg at the same part as was used for the froglets. Two biological replicates were selected for each developmental stage. Detailed sample information is presented in Table S11. The mRNA sequencing (RNA-seq) data of the OT1MMY2 and OT2MMY2 samples for the 2-year-old male adults were derived from our previously published RNA-seq data OT1MM (SRR6896144) and OT2MM (SRR6896143) [73]. For the other 16 samples, total RNA was extracted using a miRNeasy Mini Kit (Qiagen, Hilden, Germany) following the manufacturer’s procedure. The 16 total RNA samples were treated with RNase-Free DNase I (Qiagen) to remove genomic DNA. Total RNA quantity was analyzed with an Agilent 2100 Bioanalyzer (Agilent Technologies, USA) based on a 28S:18S ratio > 1.0 and RNA integrity number > 8. We constructed 16 cDNA libraries using a TruSeq® RNA Sample Preparation Kit (Illumina, San Diego, CA, USA). The average insert size for the paired-end libraries was 300 bp (± 50 bp). Paired-end sequencing was performed on an Illumina HiSeq 4000 system at LC Sciences (Hangzhou, China).

Transcriptome data analysis

Cutadapt [78] and Perl scripts were used to discard adapter-contaminated reads, low-quality reads, and reads with undefined bases. De novo transcriptome assembly was performed using Trinity 2.4.0 [79], which assembles transcripts into clusters based on their common sequence contents. The longest transcript in each cluster was chosen as the gene sequence (also called unigene). All the assembled gene sequences were annotated against six databases, Swiss-Prot (http://www.expasy.ch/sprot/), the non-redundant protein sequence database (NR) (http://www.ncbi.nlm.nih.gov/), Gene Ontology (GO) (http://www.geneontology.org), Pfam protein families (http://pfam.xfam.org/), Kyoto Encyclopedia of Genes and Genomes (KEGG) (http://www.genome.jp/kegg/), and eggNOG (http://eggnogdb.embl.de/), using DIAMOND [80] with E-value < 0.00001. Transcripts per kilobase million (TPM) was used to normalize the expression levels of the genes [81]. DEGs were selected with log2 (fold change) > 1 or < − 1 and adjusted P value ≤0.05 using edgeR in the R package [82]. GO and KEGG enrichment analyses of the DEGs were performed using in-house Perl scripts. To identify genes with similar functions, time series analysis was performed using Mfuzz v2.34.0 [83] to assign genes to multiple clusters based on similar expression profiles. Genes with high confidence in each cluster were obtained by filtering (membership value ≥0.5), then the GO enrichment analysis was performed.

Validation of DEGs by qPCR

Six DEGs were selected for verification by RT- qPCR. RPL32 (ribosomal protein L32) was used as the internal reference. The primer sequences are listed in Table S12 and each sample had 3 replicates. Reverse transcription and amplification were performed using TransScript All-in-One cDNA SuperMix for RT-qPCR (TransGen, China) and GoTaq qPCR Master Mix (Promega, USA) according to the manufacturers’ instructions. The 2−△△CT method was used to calculate the relative expression of the genes. Data were analyzed by Student’s t-test and presented as the mean ± SEM of two independent samples.

Availability of data and materials

The raw transcriptome data have been submitted to the NCBI. Sequence Read Archive under accession SRP234059. Transcriptional assembly deposited at GenBank under accession GICS00000000.

Abbreviations

RT-qRCR:

Reverse Transcription Real-time Quantitative PCR

DEGs:

Differentially expressed genes

RNA-seq:

RNA sequencing

TPM:

Transcripts per kilobase million

KEGG:

Kyoto Encyclopedia of Genes and Genomes

GO:

Gene Ontology

H&E:

Hematoxylin and eosin

TGF-β:

Transforming growth factor-β

PPAR:

Peroxisome proliferators-activated receptors

FOXO:

Forkhead box O

MAPK:

Mitogen-activated protein kinase

References

  1. Egan B, Zierath JR. Exercise metabolism and the molecular regulation of skeletal muscle adaptation. Cell Metab. 2013;17(2):162–84. https://doi.org/10.1016/j.cmet.2012.12.012.

    Article  CAS  PubMed  Google Scholar 

  2. Horak M, Novak J, Bienertova-Vasku J. Muscle-specific microRNAs in skeletal muscle development. Dev Biol. 2016;410(1):1–13. https://doi.org/10.1016/j.ydbio.2015.12.013.

    Article  CAS  PubMed  Google Scholar 

  3. Peplowski MM, Marsh RL. Work and power output in the hindlimb muscles of Cuban tree frogs Osteopilus septentrionalis during jumping. J Exp Biol. 1997;200(Pt 22):2861–70. https://doi.org/10.1242/jeb.200.22.2861.

    Article  CAS  PubMed  Google Scholar 

  4. LaRoche DP, Connolly DAJ. Effects of stretching on passive muscle tension and response to eccentric exercise. Am J Sports Med. 2006;34(6):1000–7. https://doi.org/10.1177/0363546505284238.

    Article  PubMed  Google Scholar 

  5. Azizi E. Locomotor function shapes the passive mechanical properties and operating lengths of muscle. Proc Biol Sci. 2014;281(1783):20132914.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Zug GR. Anuran locomotion: structure and function. II. Jumping performance of semiacquatic, terrestrial, and arboreal frogs. Smiths. Contrib Zool. 1978;276:iii–31.

    Google Scholar 

  7. Richards CT, Biewener AA. Modulation of in vivo muscle power output during swimming in the African clawed frog (Xenopus laevis). J Exp Biol. 2007;210(Pt 18):3147–59. https://doi.org/10.1242/jeb.005207.

    Article  PubMed  Google Scholar 

  8. Astley HC. The diversity and evolution of locomotor muscle properties in anurans. J Exp Biol. 2016;219(19):3163–73. https://doi.org/10.1242/jeb.142315.

    Article  PubMed  Google Scholar 

  9. Gomes FR, Rezende EL, Grizante MB, Navas CA. The evolution of jumping performance in anurans: morphological correlates and ecological implications. J Evol Biol. 2009;22(5):1088–97. https://doi.org/10.1111/j.1420-9101.2009.01718.x.

    Article  CAS  PubMed  Google Scholar 

  10. Citadini JM, Brandt R, Williams CR, Gomes FR. Evolution of morphology and locomotor performance in anurans: relationships with microhabitat diversification. J Evol Biol. 2018;31(3):371–81. https://doi.org/10.1111/jeb.13228.

    Article  CAS  PubMed  Google Scholar 

  11. Lutz GJ, Rome LC. Built for jumping: the design of the frog muscular system. Science. 1994;263(5145):370–2. https://doi.org/10.1126/science.8278808.

    Article  CAS  PubMed  Google Scholar 

  12. Costanzo JP. Overwintering adaptations and extreme freeze tolerance in a subarctic population of the wood frog, Rana sylvatica. J Comp Physiol B. 2019;189(1):1–15. https://doi.org/10.1007/s00360-018-1189-7.

    Article  PubMed  Google Scholar 

  13. Kardon G. Muscle and tendon morphogenesis in the avian hind limb. Development. 1998;125(20):4019–32. https://doi.org/10.1242/dev.125.20.4019.

    Article  CAS  PubMed  Google Scholar 

  14. Dunlap DG. The development of the musculature of the hindlimb in the frog, Rana pipiens. J Morphol. 1966;119(2):241–58. https://doi.org/10.1002/jmor.1051190210.

    Article  CAS  PubMed  Google Scholar 

  15. Sperry DG. Fiber type composition and postmetamorphic growth of anuran hindlimb muscles. J Morphol. 1981;170(3):321–45. https://doi.org/10.1002/jmor.1051700305.

    Article  PubMed  Google Scholar 

  16. Muntz L. Myogenesis in the trunk and leg during development of the tadpole of Xenopus laevis (Daudin 1802). J Embryol Exp Morpholog. 1975;33(3):757–74.

    CAS  Google Scholar 

  17. Manzano A, Abdala V, Ponssa ML. Soliz Mónica. Ontogeny and tissue diferentiation of the pelvic girdle and hind limbs of anurans. Acta Zool. 2013;94(4):420–36.

    Google Scholar 

  18. Leokadia K, Marta MP. Models of amphibian myogenesis the case of Bombina variegata. Int J Dev Biol. 2017;61(1–2):17–27.

    Google Scholar 

  19. Smetanick M. de Sa´ RO, Radice GP. Do timing and pattern of myogenesis correlate with the life history mode in anurans? J Herpetol. 2000;34(4):637–42. https://doi.org/10.2307/1565288.

    Article  Google Scholar 

  20. Zhao X, Mo DL, An L, Gong W, Xiao SQ, Zhang Y, et al. Comparative analyses by sequencing of transcriptomes during skeletal muscle development between pig breeds differing in muscle growth rate and fatness. PLoS One. 2011;6(5):e19774.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Yang YL, Liang GM, Niu GL, Zhang YY, Zhou R, Wang YF, et al. Comparative analysis of DNA methylome and transcriptome of skeletal muscle in lean-, obese-,and mini-type pigs. Sci Rep. 2017;7(1):39883. https://doi.org/10.1038/srep39883.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Xue Q, Zhang GX, Li TT, Ling JJ, Zhang XQ, Wang JY. Transcriptomic profile of leg muscle during early growth in chicken. PLoS One. 2017;12(3):e0173824. https://doi.org/10.1371/journal.pone.0173824.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Fu J, Zhu W, Wang L, Luo MK, Song FB, Dong ZJ, et al. Dynamic transcriptome sequencing and analysis during early development in the bighead carp (Hypophthalmichthys nobilis). BMC Genomics. 2019;20(1):781. https://doi.org/10.1186/s12864-019-6181-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Piprek RP, Damulewicz M, Tassan JP, Kloc M, Kubiak JZ. Transcriptome profiling reveals male- and female-specific gene expression pattern and novel gene candidates for the control of sex determination and gonad development in Xenopus laevis. Dev Genes Evol. 2019;29(2–3):53–72.

    Article  Google Scholar 

  25. Luo D, Valérie MR, Thomas AR. The regulation of notch signaling in muscle stem cell activation and postnatal myogenesis. Semin Cell DevBiol. 2005;6(4–5):612–22.

    Article  Google Scholar 

  26. Elabd C, Cousin W, Upadhyayula P, Chen RY, Chooljian MS, Li J, et al. Oxytocin is an age-specific circulating hormone that is necessary for muscle maintenance and regeneration. Nat Commun. 2014;5(1):4082. https://doi.org/10.1038/ncomms5082.

    Article  CAS  PubMed  Google Scholar 

  27. Jankowski M, Danalache B, Wang D, Bhat P, Hajjar F, Marcinkiewicz M, et al. Oxytocin in cardiac ontogeny. Proc Natl Acad Sci U S A. 2004;101(35):13074–9. https://doi.org/10.1073/pnas.0405324101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Thomas K, Engler AJ, Meyer GA. Extracellular matrix regulation in the muscle satellite cell niche. Connect Tissue Res. 2015;56(1):1–8. https://doi.org/10.3109/03008207.2014.947369.

    Article  CAS  PubMed  Google Scholar 

  29. Chen B, Xu JG, He X, He XM, Xu HP, Li GH, et al. A genome-wide mRNA screen and functional analysis reveal FOXO3 as a candidate gene for chicken growth. PLoS One. 2015;10(9):e0137087. https://doi.org/10.1371/journal.pone.0137087.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Lorenza GM, Tapia R, Chamorro D. Crosstalk of tight junction components with signaling pathways. Biochim Biophys Acta. 2008;1778(3):729–56.

    Article  Google Scholar 

  31. Romer LH, Birukov KG, Garcia JG. Focal adhesions: paradigm for a signaling nexus. Circ Res. 2006;98(5):606–16. https://doi.org/10.1161/01.RES.0000207408.31270.db.

    Article  CAS  PubMed  Google Scholar 

  32. Wu JR, Yeh JL, Liou SF, Dai ZK, Wu BN, Hsu JH. Gamma-secretase inhibitor prevents proliferation and migration of ductus arteriosus smooth muscle cells through the Notch3-HES1/2/5 pathway. Int J Biol Sci. 2016;12(9):1063–73. https://doi.org/10.7150/ijbs.16430.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Srivastava R, Rolyan H, Xie Y, Li N, Bhat N, Hong L, et al. TCF7L2 (transcription factor 7-like 2) regulation of GATA6 (GATA-binding protein 6)-dependent and -independent vascular smooth muscle cell plasticity and intimal hyperplasia. Arterioscl Throm Vas. 2019;39(2):250–62. https://doi.org/10.1161/ATVBAHA.118.311830.

    Article  CAS  Google Scholar 

  34. Wright WE, Sassoon DA, Lin VK. MYOG, a factor regulating myogenesis, has a domain homologous to Myo D. Cell. 1989;56(4):607–17. https://doi.org/10.1016/0092-8674(89)90583-7.

    Article  CAS  PubMed  Google Scholar 

  35. Trendelenburg AU, Meyer A, Rohner D, Boyle J, Hatakeyama S, Glass DJ. Myostatin reduces Akt /TORC1 /p70S6K signaling, inhibiting myoblast differentiation and myotube size. Am J Physiol Cell Physiol. 2009;296(6):C1258–70. https://doi.org/10.1152/ajpcell.00105.2009.

    Article  CAS  PubMed  Google Scholar 

  36. Matsakas A, Patel K. Skeletal muscle fibre plasticity in response to selected environmental and physiological stimuli. Histol Histopathol. 2009;24(5):611–29. https://doi.org/10.14670/HH-24.611.

    Article  PubMed  Google Scholar 

  37. Hinits Y, Osborn DPS, Carvajal JJ, Carvajal JJ, Rigby PWJ, Hughes SM, et al. Mrf4 (myf6) is dynamically expressed in differentiated zebrafish skeletal muscle. Gene Expr Patterns. 2007;7(7):738–45. https://doi.org/10.1016/j.modgep.2007.06.003.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Klosowska D, Kuryl J, Elminowska-wenda G, Kapelanski W, Walasik K, Pierzchala M, et al. A relationship between the PCR-RFLP polymorphism in porcine MYOG, MYOD1 and MYF5 genes and microstructural characteristics of m. longissimus lumborum in Pietrain x (polish large white x polish landrace) crosses. Czech J Anim Sci. 2004;49(3):99–107.

    Article  CAS  Google Scholar 

  39. Gregorio CC, Trombitás K, Centner T, Kolmerer B, Stier G, Kunke K, et al. The NH2 terminus of titin spans the Z-disc: its interaction with a novel 19-kD ligand (T-cap) is required for sarcomeric integrity. J Cell Biol. 1998;143(4):1013–27. https://doi.org/10.1083/jcb.143.4.1013.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Du PL, Beqqali A, Van Tol HT, Monshouwer-Kloots J, Passier R, Haagsman HP, et al. Sarcosin (Krp1) in skeletal muscle differentiation: gene expression profiling and knockdown experiments. Int J Dev Bio. 2012;56(4):301.

    Article  Google Scholar 

  41. Cunha SR, Mohler PJ. Obscurin targets ankyrin-B and protein phosphatase 2A to the cardiac M-line. J Biol Chem. 2008;283(46):31968–80. https://doi.org/10.1074/jbc.M806050200.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Breitbart RE, Liang CS, Smoot LB, Laheru DA, Mahdavi V, Nadal-Ginard B. A fourth human MEF2 transcription factor, hMEF2D, is an early marker of the myogenic lineage. Development. 1999;118(4):1095–106.

    Article  Google Scholar 

  43. Possidonio AC, Soares CP, Portilho DM, Midlej V, Benchimo M, Browne GB, et al. Differences in the expression and distribution of flotillin-2 in chick, mice and human muscle cells. PLoS One. 2014;9(8):e103990. https://doi.org/10.1371/journal.pone.0103990.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Masselink W, Masaki M, Sieiro D, Marcelle C, Currie PD. Phosphorylation of Lbx1 controls lateral myoblast migration into the limb. Dev Biol. 2017;430(2):302–9. https://doi.org/10.1016/j.ydbio.2017.08.025.

    Article  CAS  PubMed  Google Scholar 

  45. Gaudet P, Livstone MS, Lewis SE, Thomas PD. Phylogenetic-based propagation of functional annotations within the gene ontology consortium. Brief Bioinform. 2011;12(5):449–62. https://doi.org/10.1093/bib/bbr042.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Laukkanen O, Pihlajamäki J, Lindström J, Eriksson J, Valle TT, Hämäläinen H, et al. Common polymorphisms in the genes regulating the early insulin signalling pathway: effects on weight change and the conversion from impaired glucose tolerance to type 2 diabetes: the Finnish diabetes prevention study. Diabetologia. 2004;47(5):871–7. https://doi.org/10.1007/s00125-004-1395-6.

    Article  CAS  PubMed  Google Scholar 

  47. Davis TA, Suryawan A, Orellana RA, Nguyen HV, Fiorotto ML. Postnatal ontogeny of skeletal muscle protein synthesis in pigs. J Anim Sci. 2008;86(14 Suppl):E13–8. https://doi.org/10.2527/jas.2007-0419.

    Article  CAS  PubMed  Google Scholar 

  48. Jiang C, Shi P, Li S, Dong R, Tian JW, Wei J, et al. Gene expression profiling of skeletal muscle of nursing piglets. Int J Biol Sci. 2010;6(7):627–38. https://doi.org/10.7150/ijbs.6.627.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Saltiel AR, Pessin JE. Insulin signaling pathways in time and space. Trends Cell Biol. 2002;12(2):65–71. https://doi.org/10.1016/S0962-8924(01)02207-3.

    Article  CAS  PubMed  Google Scholar 

  50. Sun Y, Liu WZ, Liu T, Feng X, Yang N, Zhou HF. Signaling pathway of MAPK/ERK in cell proliferation, differentiation, migration, senescence and apoptosis. J Recept Signal Transduct Res. 2015;35(6):600–4. https://doi.org/10.3109/10799893.2015.1030412.

    Article  CAS  PubMed  Google Scholar 

  51. Jacob L, Lum L. Hedgehog signaling pathway. Sci STKE. 2007;2007(407):cm6.

    PubMed  Google Scholar 

  52. Ilkovski B, Cooper ST, Nowak K, Ryan MM, Yang N, Schnell C, et al. Nemaline myopathy caused by mutations in the muscle α-skeletal-actin gene. Am J Hum Genet. 2001;68(6):1333–43. https://doi.org/10.1086/320605.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Larsson L, Moss RL. Maximum velocity of shortening in relation to myosin isoform composition in single fibers from human skeletal muscles. J Physiol. 1993;472(1):595–614. https://doi.org/10.1113/jphysiol.1993.sp019964.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Zhang Q, Skepper JN, Yang F, Davies JD, Hegyi L, Roberts RG, et al. Nesprins: a novel family of spectrin-repeat-containing proteins that localize to the nuclear membrane in multiple tissues. J Cell Sci. 2001;14(24):4485–98.

    Article  Google Scholar 

  55. Nielsen C. Origin and evolution of animal life cycles. Biol Rev Camb Philos Soc. 1998;73(2):125–55. https://doi.org/10.1017/S0006323197005136.

    Article  Google Scholar 

  56. Levine AJ. p53, the cellular gatekeeper for growth and division. Cell. 1997;88(3):323–31. https://doi.org/10.1016/S0092-8674(00)81871-1.

    Article  CAS  PubMed  Google Scholar 

  57. Volgelstein B, Lane D, Levine A. Surfing the p53 network. Nature. 2000;408(6810):307–10. https://doi.org/10.1038/35042675.

    Article  CAS  Google Scholar 

  58. Milan G, Romanello V, Pescatore F, Armani A, Paik JH, Frasson L. Regulation of autophagy and the ubiquitin-proteasome system by the FoxO transcriptional network during muscle atrophy. Nat Commun. 2015;6(1):6670. https://doi.org/10.1038/ncomms7670.

    Article  CAS  PubMed  Google Scholar 

  59. Johnston IA, Bower NI, Macqueen DJ. Growth and the regulation of myotomal muscle mass in teleost fish. J Exp Biol. 2011;214(10):1617–28. https://doi.org/10.1242/jeb.038620.

    Article  CAS  PubMed  Google Scholar 

  60. Manickam R, Wahli W. Roles of peroxisome proliferator-activated receptor β/δ in skeletal muscle physiology. Biochimie. 2017;136:42–8. https://doi.org/10.1016/j.biochi.2016.11.010.

    Article  CAS  PubMed  Google Scholar 

  61. Robert GB, Julie SP. Adaptive plasticity of skeletal muscle energetics in hibernating frogs: mitochondrial proton leak during metabolic depression. J Exp Biol. 2002;205:2287–96.

    Article  Google Scholar 

  62. Rock KL, Gramm C, Rothstein L, Clark K, Stein R, Dick L, et al. Inhibitors of the proteasome block the degradation of most cell proteins and the generation of peptides presented on MHC class I molecules. Cell. 1994;78(5):761–71. https://doi.org/10.1016/S0092-8674(94)90462-6.

    Article  CAS  PubMed  Google Scholar 

  63. Attaix D, Ventadour S, Codran A, Béchet D, Taillandier D, Combaret L. The ubiquitin-proteasome system and skeletal muscle wasting. Essays Biochem. 2005;41(1):173–86. https://doi.org/10.1042/EB0410173.

    Article  CAS  PubMed  Google Scholar 

  64. Tacchi L, Bickerdike R, Secombes CJ, Martin SA. Muscle-specific RING finger (Murfin et al.) cDNAs in Atlantic salmon (Salmo salar) and their role as regulators of muscle protein degradation. Mar Biotechnol. 2012;14(1):35–45. https://doi.org/10.1007/s10126-011-9385-4.

    Article  CAS  Google Scholar 

  65. Salmerón C, García DDLS, Jiménez-Amilburu V, Fontanillas R, Navarro I, Johnston LA, et al. Characterisation and expression of calpain family members in relation to nutritional status, diet composition and flesh texture in gilthead sea bream (Sparus aurata). PLoS One. 2013;8(9):e75349. https://doi.org/10.1371/journal.pone.0075349.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Cotten SW, Kornegay JN, Bogan DJ, Wadosky KM, Patterson C, Willis MS. Genetic myostatin decrease in the golden retriever muscular dystrophy model does not significantly affect the ubiquitin proteasome system despite enhancing the severity of disease. Am J Transl Res. 2013;6(1):43–53.

    PubMed  PubMed Central  Google Scholar 

  67. Gogulothu R, Nagar D, Gopalakrishnan S, Garlapati VR, Kallamadi PP, Ismail A. Disrupted expression of genes essential for skeletal muscle fiber integrity and energy metabolism in vitamin D deficient rats. J Steroid Biochem Mol Biol. 2019;6:105525.

    Google Scholar 

  68. Hunt LC, Stover J, Haugen B, Shaw TI, Li YX, Pagala VR, et al. A key role for the ubiquitin ligase UBR4 in myofiber hypertrophy in drosophila and mice. Cell Rep. 2019;28(5):1268–81. https://doi.org/10.1016/j.celrep.2019.06.094.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Ropka-Molik K, Pawlina-Tyszko K, Żukowski K, Piórkowska K, Żak G, Gurgul A, et al. Examining the genetic background of porcine muscle growth and development based on transcriptome and miRNAome data. Int J Mol Sci. 2018;19(4):1208. https://doi.org/10.3390/ijms19041208.

    Article  CAS  PubMed Central  Google Scholar 

  70. Xiong RC, Jiang JP, Fei L, Wang B, Ye CY. Embryonic development of the concave-eared torrent frog with its significance on taxonomy. Zool Res. 2010;31(5):490–8. https://doi.org/10.3724/SP.J.1141.2010.05490.

    Article  Google Scholar 

  71. Shu YL, Hong P, Yang YW, Wu HL. An endemic frog harbors multiple expression loci with different patterns of variation in the MHC class II B gene. J Exp Zool Part B. 2013;320(8):501–10. https://doi.org/10.1002/jez.b.22525.

    Article  CAS  Google Scholar 

  72. Feng J, Zhang JH, Shu YL, Yao L, Wu HL. The geographic distribution pattern and habitat selection of the Chinese concave-eared torrent frog in southern Anhui Province. Acta Ecol Sin. 2015;35(17):5638–47.

    Google Scholar 

  73. Shu YL, Xia JQ, Yu Q, Wang G, Zhang JH, He J, et al. Integrated analysis of mRNA and miRNA expression profiles reveals muscle growth differences between adult female and male Chinese concave-eared frogs (Odorrana tormota). Gene. 2018;678:241–25. https://doi.org/10.1016/j.gene.2018.08.007.

    Article  CAS  PubMed  Google Scholar 

  74. Pan T, Zhou K, Zhang SL, Shu YL, Zhang JH, Li E, et al. Effects of dispersal barriers and geographic distance on the genetic structure of narrowly distributed concave-eared torrent frog (Odorrana tormota) in a spatially structured landscape. J Zool. 2019;309(4):295–309. https://doi.org/10.1111/jzo.12730.

    Article  Google Scholar 

  75. Lambert MR, Smylie MS, Roman AJ, Freidenburg LK, Skelly DK, et al. Sexual and somatic development of wood frog tadpoles along a thermal gradient. J Exp Zool A Ecol Integr Physiol. 2018;329(2):72–9. https://doi.org/10.1002/jez.2172.

    Article  PubMed  Google Scholar 

  76. Kathleen RM, Claude M. A skeletochronological study of the age structure, growth, and longevity of the mountain yellow-legged frog, Rana muscosa, in the sierra Nevada, California. Copeia. 2007;2007(4):986–93.

    Article  Google Scholar 

  77. Chen YZ, Wu YX, Chen SL, Ge MD. General biology by Chen Yuezeng (Chinese edition). 2009. Beijing: Higher Education Press; 2009.

    Google Scholar 

  78. Martin M. Cut adapt removes adapter sequences from high-throughput sequencing reads. EMBnet. 2011;EMBnet17:10–2.

    Article  Google Scholar 

  79. Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011;29(7):644–52. https://doi.org/10.1038/nbt.1883.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Buchfink B, Xie C, Huson DH. Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2014;12(1):59–60. https://doi.org/10.1038/nmeth.3176.

    Article  CAS  PubMed  Google Scholar 

  81. Patro R, Duggal G, Love MI, Irizarry RA, Kingsford C. Salmon provides fast and bias-aware quantification of transcript expression. Nat Methods. 2017;14(4):417–9. https://doi.org/10.1038/nmeth.4197.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Robinson MD, Davis JM, Gordon KS. EdgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40. https://doi.org/10.1093/bioinformatics/btp616.

    Article  CAS  PubMed  Google Scholar 

  83. Lokesh K, Matthias EF. Mfuzz: a software package for soft clustering of microarray data. Bioinformation. 2007;2(1):5–7.

    Article  Google Scholar 

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Acknowledgments

We thank Banqiao Provincial Natural Reserve to help sampling.

Funding

This research was financially supported by the National Natural Science Foundation of China (No. 31370537 and 32071498), the University Synergy Innovation Program of Anhui Province (Grant number: GXXT-2020-075) and Natural Science Foundation of Universities of Anhui Province (Grant number: KJ2020A0063). The funding body didn’t participate in the design of the study, collection, analysis and interpretation of data or in writing the manuscript.

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Authors and Affiliations

  1. Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, China

    Yilin Shu, Jun He, Huijuan Zhang, Guangxuan Liu, Shikun Li, Shuaitao Deng & Hailong Wu

  2. Provincial Key Laboratory of Biotic Environment and Ecological Safety in Anhui, Wuhu, China

    Yilin Shu, Jun He, Huijuan Zhang, Guangxuan Liu, Shikun Li, Shuaitao Deng & Hailong Wu

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  1. Yilin Shu
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  2. Jun He
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Contributions

YS and JH performed the research, analyzed the data, and wrote the manuscript; HW conceived the study and was involved in its design and coordination; HZ, GL, SL, and SD were involved in the experiment and the statistical analysis of the study; HW reviewed the manuscript. All authors edited and approved the final manuscript.

Corresponding author

Correspondence to Hailong Wu.

Ethics declarations

Ethics approval and consent to participate

All of the experiments involving animals were carried out in accordance with the guidelines for the care and use of experimental animals established by the Ministry of Science and Technology of the People’s Republic of China (Approval Number 2006–398). Rearing and all experiments were conducted with the approval of the Ethics Committee of Anhui Normal University (Approval Number 2017021). Adult frogs and tadpole samples were collected in the non-core area of the Banqiao Provincial Natural Reserve with the permission of Management Bureau of the Banqiao Provincial Natural Reserve in Anhui province of China.”

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Not applicable.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Fig. S1

. Transverse section of hindlimb thigh muscles in tadpole stages

Additional file 2: Fig. S2

. Pearson correlation of gene expression for all samples

Additional file 3: Fig. S3

. Hematoxylin-stained cross-sections of the gonads. Note: M, mesonephros; PGC, primordial germ cell; T, testis; O, ovary; Po, primary oocyte; Oc, Ovarian cavity; Sg, Spermatogonia; S, somatic cell; Sv, seminal vesicles; Pc, Primary cavity; Sc, Secondary cavity; Oo, oogonium; MO, month-old; ♀, female; ♂, male

Additional file 4: Fig. S4

. Hematoxylin-stained cross-sections of the thigh-bone. The black solid arrow refers to the stagnant growth line. Outer edge of bone (OEB). A, 2-year-old; B, 3-year-old; C, 4-year-old. RL and FL represent resorption lines (the division line between endosteal and periosteal zones) and false line, respectively. Magnification, 200x (bar = 100 μm)

Additional file 5: Table S1

. Summary of generated transcriptome data

Additional file 6: Table S2

. GO enrichment of 7 time series clusters

Additional file 7: Table S3

. DEGs in seven comparable groups

Additional file 8: Table S4

. GO enrichment in seven comparable groups

Additional file 9: Table S5

. GO terms were related to muscle growth and development in the seven comparable groups

Additional file 10: Table S6

. DEGs related to muscle growth and exercise in seven comparable groups

Additional file 11: Table S7

. DEGs related to glycogen metabolism, glycolysis process and energy metabolism at the G40 vs G42 group

Additional file 12: Table S8

. DGEs related to glucose and lipid metabolism at the G45 vs 3-month-old group

Additional file 13: Table S9

. DGEs related to glucose metabolic, mitochondria, energy metabolism, lysosome and ubiquitination pathway at the 3-month-old vs 5-month-old group

Additional file 14: Table S10

. Samples collecting information

Additional file 15: Table S11

. Samples collecting information for transcriptome analysis

Additional file 16: Table S12

. qRT-PCR primers for mRNAs

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Shu, Y., He, J., Zhang, H. et al. Dynamic transcriptome and histomorphology analysis of developmental traits of hindlimb thigh muscle from Odorrana tormota and its adaptability to different life history stages. BMC Genomics 22, 369 (2021). https://doi.org/10.1186/s12864-021-07677-0

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Keywords

BMC Genomics

ISSN: 1471-2164

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