- Open Access
Genome-wide identification of BAM (β-amylase) gene family in jujube (Ziziphus jujuba Mill.) and expression in response to abiotic stress
BMC Genomics volume 23, Article number: 438 (2022)
Elevated temperature and drought stress have substantial impacts on fruit quality, especially in terms of sugar metabolism and content. β-Amylase (BAM) plays a critical role in regulating jujube fruit sugar levels and abiotic stress response. Nevertheless, little is known about the regulatory functions of the BAM genes in jujube fruit.
Nine jujube BAM genes were identified, clustered into four groups, and characterized to elucidate their structure, function, and distribution. Multiple sequence alignment and gene structure analysis showed that all ZjBAM genes contain Glu-186 and Glu-380 residues and are highly conserved. Phylogenetic and synteny analysis further indicated that the ZjBAM gene family is evolutionarily conserved and formed collinear pairs with the BAM genes of peach, apple, poplar, Arabidopsis thaliana, and cucumber. A single tandem gene pair was found within the ZjBAM gene family and is indicative of putative gene duplication events. We also explored the physicochemical properties, conserved motifs, and chromosomal and subcellular localization of ZjBAM genes as well as the interaction networks and 3D structures of ZjBAM proteins. A promoter cis-acting element analysis suggested that ZjBAM promoters comprise elements related to growth, development, phytohormones, and stress response. Furthermore, a metabolic pathways annotation analysis showed that ZjBAMs are significantly upregulated in the starch and sucrose metabolism, thereby controlling starch-maltose interconversion and hydrolyzing starch to maltose. Transcriptome and qRT-PCR analyses revealed that ZjBAMs respond positively to elevated temperature and drought stress. Specifically, ZjBAM1, ZjBAM2, ZjBAM5, and ZjBAM6 are significantly upregulated in response to severe drought. Bimolecular fluorescence complementation analysis demonstrated ZjBAM1-ZjAMY3, ZjBAM8-ZjDPE1, and ZjBAM7-ZjDPE1 protein interactions that were mainly present in the plasma membrane and nucleus.
The jujube BAM gene family exhibits high evolutionary conservation. The various expression patterns of ZjBAM gene family members indicate that they play key roles in jujube growth, development, and abiotic stress response. Additionally, ZjBAMs interact with α-amylase and glucanotransferase. Collectively, the present study provides novel insights into the structure, evolution, and functions of the jujube BAM gene family, thus laying a foundation for further exploration of ZjBAM functional mechanisms in response to elevated temperature and drought stress, while opening up avenues for the development of economic forests in arid areas.
Chinese jujube (Ziziphus jujuba Mill.) is a small deciduous tree in the family Rhamnaceae that originated in China, where it has been domesticated for > 7000 years. It is considered one of the oldest cultivated fruit trees in the world and is a commercially important species [1,2,3]. In China, jujube has a cultivation area of ~ 2 million hectares and an annual production of over 8 million tons, accounting for the primary source of income for millions of farmers [3, 4]. In addition, as a commercial crop, jujube has been introduced to more than 48 countries, including Korea, Iran, the United States, Australia, among other countries [4,5,6]. Jujube is highly nutritious and has been widely used as a food product and in traditional Chinese medicine (TCM) for many years. The fruit contains a variety of active components, including phenolics, flavones, polysaccharides, vitamin C, triterpenoid acid, saponins, α-tocopherol, and β-carotene [7, 8]. As such, it has demonstrated effectiveness in blood nourishment as well as in the treatment of different types of illnesses, including spleen diseases, diarrhea, skin infection, fever, and insomnia [7, 8]. Meanwhile, as a TCM it has exhibited anti-inflammatory, anti-cancer, gastrointestinal protective, antioxidant, immunomodulatory, and hypoglycemic properties [7, 9]. Moreover, owing to its outstanding endurance and adaptability to drought, as well as barren and salty soil, jujube is becoming increasingly prevalent in arid and semiarid lands, where it is considered a superfruit due to these unique advantages .
However, global climate change has markedly altered environmental conditions for plant growth and functioning . Elevated temperatures and drought stress have significantly impacted the jujube fruit quality. Under severe drought (40% of the field water holding capacity) and elevated temperature interactive treatment, the jujube fruit weight decreases by 29%, whereas the organic acid content significantly increases and the soluble content decreases . Moreover, elevated temperature (2.5 °C above normal temperature) significantly increases the total sugar content, sugar-organic acid ratio, anthocyanins, flavonoids, and carotenoids contents. Meanwhile, under drought stress, total sugar content and anthocyanin, flavonoid, and carotenoid contents are significantly reduced, whereas the chlorophyll and organic acid contents are increased [12, 13].
Sugar plays a vital role in the abiotic stress response of the jujube. The key genes regulating the jujube fruit sugar content are closely associated with sugar, organic acid, and secondary metabolism pathways. One such gene is BAM (β-amylase) . BAMs (β-amylases; EC 220.127.116.11) play central roles in starch degradation and gene regulation by converting starch to maltose in multiple physiological processes including growth, development, and defense [15,16,17]. Indeed, BAM genes are ubiquitous in bryophyte, seedless vascular plant, gymnosperm, and angiosperm genomes . The evolution of functional analysis revealed that the novel BAM10 clade is absent in Arabidopsis. Meanwhile, BAM4 controls starch metabolism and is differentially regulated among various species . BAM genes also play pivotal roles in abiotic stress tolerance by degrading starch and regulating soluble sugar accumulation in response to cold stress [20,21,22]. Considering that BAM gene expression and BAM protein activity are elevated in pear, blueberry, orange, tea tree, potato, and poplar under cold stress [23,24,25,26,27,28], this gene family may play key regulatory roles in jujube response to abiotic stress.
Although we have observed that elevated temperature and drought stress have significant effects on jujube fruit quality, the underlying response mechanisms remain unclear, particularly regarding the role of stress resistance genes. Accordingly, in the present study, we identified and characterized nine ZjBAM genes in the jujube genome and evaluated the network regulation of sugar metabolism, as well as transcriptome and expression patterns under elevated temperature and drought stress to establish the jujube fruit response to abiotic stress. Furthermore, the ZjBAMs protein-protein interaction network was analyzed and further validated by bimolecular fluorescence complementation (BiFC). The results of the present study provide novel insights, which would be helpful for future investigations, into the mechanisms by which jujube BAM gene family members regulate sugar metabolism in response to temperature, drought, and other abiotic stresses.
Identification and characterization of ZjBAM genes in jujube
The HMMER and Pfam numbers (PF01373.19) were used to search BAM protein sequences in the jujube genome database and identify jujube BAM genes. The Expect (e) cutoff was set to 0.0001 to remove redundant sequences. Nine ZjBAM protein sequences were identified. The conserved Glyco_hydro_14 domain was confirmed with SMART and NCBI Batch CD-Search tools. The final gene sequences identified were named ZjBAM1–ZjBAM9 (Table 1) based on the E-value order in the result of the HMMER profile. ZjBAM9 was localized to chr 8, ZjBAM7 was localized to chr 10, ZjBAM2, ZjBAM3, and ZjBAM4 were localized to chr 11, and ZjBAM1, ZjBAM5, and ZjBAM8 were localized to chr 12. The position of ZjBAM6 could not be determined (Table 1).
The physicochemical properties of the nine ZjBAM proteins were analyzed. The CDS lengths were in the range of 1602–2112 bp, and the protein lengths were in the range of 533–703 aa. The molecular formulas of the predicted ZjBAM proteins indicated that their elemental composition primarily included C, H, N, O, and S. Their molecular weights and isoelectric points were in the ranges of 59.2–79.22 kDa and 5.12–8.77, respectively. Their aliphatic indices were in the range of 68.63–82.3; hence, most were thermostable. According to the instability calculations and GRAVY, all proteins except ZjBAM1, ZjBAM3, and ZjBAM7 were unstable (> 40), and all were hydrophilic (< 0). ZjBAM1, ZjBAM3, ZjBAM5, and ZjBAM6 were localized to microbodies, ZjBAM2 and ZjBAM7 were localized to the cytoplasm, ZjBAM9 was localized to the mitochondria, and ZjBAM4 and ZjBAM8 were localized to the nuclei (Table 1).
Conserved domain alignment, motif, and structural analyses of ZjBAM gene family
The phylogenetic tree, conserved domains and motifs, and exon-intron structures of the ZjBAM gene family were combinatorically constructed. The nine different ZjBAM gene sequences were used to plot a phylogenetic tree. ZjBAM3, ZjBAM4, ZjBAM8, and ZjBAM7 were clustered into group I, ZjBAM1 and ZjBAM2 were clustered into group II, ZjBAM9 was in group III, and ZjBAM5 and ZjBAM6 were clustered into group IV (Fig. 1a). Each gene contained a Glyco_hydro_14 conserved domain at the positions shown in Fig. 1b. Ten conserved motifs and 20 amino acid residues were identified using MEME. All genes contained motifs 1–9 and were localized to a conserved domain region (Fig. 1b).
To characterize and elucidate the structural diversity of the ZjBAM genes, we analyzed the gene exon-intron structures using the Gene Structure Display Server program (Fig. 1c). The structural analysis revealed that the coding regions of all ZjBAM genes were interrupted by 2–9 introns, and all members of each group had similar structures. Group I had the most introns (nine in ZjBAM4 and ZjBAM8, eight in ZjBAM3, and six in ZjBAM7) followed by groups II and IV. ZjBAM1, ZjBAM2, ZjBAM5, and ZjBAM6 each contained three introns, while ZjBAM9 in group III had only two (Fig. 1c). An analysis of the intron-exon structure showed that the ZjBAM gene family was evolutionarily conserved. Multiple sequence alignments of the ZjBAM amino acids disclosed that the Glyco_hydro_14 domain and the catalytic residues Glu-186 and Glu-380 were highly conserved across all gene family members (Fig. 1d).
Phylogenetic analysis of ZjBAM genes
Ninety BAM genes from Z.jujuba, apple (Malus domestica), poplar (Populus trichocarpa), cucumber (Cucumis sativus), peach (Prunus persica), and Arabidopsis thaliana were used to construct a phylogenetic tree (Fig. 2). These genes were classified into groups I, II, and III, and each of these was further divided into two subgroups. ZjBAM1 was assigned to subgroup 2, ZjBAM3, ZjBAM4, and ZjBAM8 to subgroup 3, ZjBAM7 to subgroup 4, ZjBAM2 and ZjBAM9 to subgroup 5, and ZjBAM5 and ZjBAM6 to subgroup 6 (Fig. 2). The BAM genes in jujube, apple, poplar, cucumber, peach, and A. thaliana were expanded into the foregoing groups and subgroups. This indicates that these genes may have similar functions in the growth and development.
Chromosomal localization, tandem duplication, and cis-acting element analyses of the ZjBAM gene family
The chromosomal position of the identified ZjBAM genes was determined with the Mapchart software. Eight ZjBAM genes were located on four chromosomes in Z. jujuba (Fig. 3a). These included ZjBAM9 on chr 8, ZjBAM7 on chr 10, ZjBAM2, ZjBAM3, and ZjBAM4 on chr 11, and ZjBAM8, ZjBAM1, and ZjBAM5 on chr 12. A tandem gene pair (ZjBAM3 and ZjBAM4) was detected with the MCScanX tool and was recognized as a marker on chr 11 (Fig. 3a, green highlight). The Ka/Ks ratio between ZjBAM3 and ZjBAM4 was < 1.0; this indicates that the gene pair probably underwent strong purifying selection for retention.
A 1500 bp upstream of each ZjBAM gene family was selected as a promoter region and searched with PlantCARE. The predicted cis-elements were classified mainly as core cis-regulatory-, growth and development-related-, phytohormone-responsive-, and stress-responsive elements (Fig. 3b). Each ZjBAM member contained a typical core promoter element TATA-box and an enhancer element CAAT-box, which enhances gene expression. The AAGAA-motif was found in ZjBAM1 and ZjBAM2. The light-responsive element MRE was identified in the ZjBAM9 promoter. MBSI is a flavonoid biosynthetic gene-regulating element occurring in the ZjBAM4 promoters. O2-site is a zein metabolism-regulating element in the ZjBAM9 and ZjBAM7 promoters. The DNA synthesis ribonucleotide reductase enzyme element MYB and the phytohormone-responsive element MYC were observed in the ZjBAM1, ZjBAM2, ZjBAM5, ZjBAM7, ZjBAM8, and ZjBAM9 promoters. The phytohormone-responsive elements ARE, GARE-motif, ABRE, ERE were identified in the ZjBAM7, ZjBAM1, ZjBAM9, ZjBAM4 promoters, respectively. STRE, W, and WRE3 are environmental stress-responsive elements and were found in the ZjBAM3 and ZjBAM1 promoters (Fig. 3b).
Intragenomic and intergenomic collinearity analysis
Intergenomic synteny analysis revealed different linear relationships among jujube chromosomes. A total of 1645 collinear gene pairs were detected in the intrachromosomal and interchromosomal regions; however, there was no collinearity among ZjBAM family members (Fig. 4). Intergenomic collinearity was analyzed to investigate genetic divergence and gene duplications of the BAM genes among jujube and peach, apple, poplar, A. thaliana, and cucumber. Five ZjBAM gene family members were collinear with five peach BAM genes and eight apple BAM genes (Fig. 5a; Table S1). In addition, three ZjBAM gene family members were collinear with five poplar BAM genes, and two were collinear with two A. thaliana BAM genes (Fig. 5b; Table S1). Similarly, three ZjBAM gene family members were collinear with three cucumber BAM genes (Fig. 5c; Table S1). A comparative genomic analysis showed that the BAM family genes were more collinear between jujube and apple, peach, and poplar than between jujube and A. thaliana and cucumber. Hence, duplicated genes might have been altered or lost during the evolution of the different species.
Sugar metabolism regulation by ZjBAM gene family members and expression profiles in the transcriptome
Transcriptome analysis of the various propagation modes of ‘Lingwuchangzao’ jujube demonstrated that the BAM gene was significantly upregulated during starch and sucrose metabolism . A KEGG pathway analysis disclosed that BAM mainly regulates starch-maltose interconversion, starch hydrolysis to maltose, and maltose degradation to glucose. When large amounts of starch accumulate, BAM hydrolyzes starch into maltose and thence to glucose. It also directly hydrolyzes starch to glucose. The latter is then transformed to UDP-glucose which participates in sucrose formation. UDP-glucose enters different metabolic pathways including amino sugar and nucleotide sugar metabolism and glycolysis metabolism (Fig. 6a).
The transcriptome data for various treatment conditions were used to analyze jujube BAM gene expression levels (Tables S2 and S3). ZjBAM family members were clustered for the grafting (YJ) and root tiller (YG) propagation modes of the ‘Lingwuchangzao’ jujube fruit transcriptome . The expression of ZjBAM2 and ZjBAM9 was substantially upregulated in both the propagation modes (Fig. 6b). ZjBAM family members were also classified for the fruit transcriptome at different developmental stages under elevated temperature and drought stress. The expression levels of ZjBAM4, ZjBAM7, ZjBAM1, and ZjBAM9 were markedly lower than those of ZjBAM5, ZjBAM6, ZjBAM3, ZjBAM2, and ZjBAM8 (Fig. 6c). The expression pattern analysis indicated that the ZjBAM2 and ZjBAM9 responded positively to sugar regulation under both ‘Lingwuchangzao’ jujube propagation modes, whereas ZjBAM5, ZjBAM6, ZjBAM3, ZjBAM2, and ZjBAM8 responded to elevated temperature and drought stress.
Expression patterns of ZjBAM genes under elevated temperature and drought stress
Based on the results of the transcriptome expression profiles analysis, nine ZjBAM genes were selected for quantitative reverse transcription-polymerase chain reaction (qRT-PCR) analysis at different jujube plant growth stages under elevated temperature and drought stress (Fig. 7). The expression patterns of the foregoing ZjBAM genes were similar at all three growth stages (S1, S2, and S3). In response to severe drought stress, expression of ZjBAM1, ZjBAM2, ZjBAM5, and ZjBAM6 was significantly (p < 0.05) downregulated at S1 (T1D3) but significantly (p < 0.05) upregulated at S2 and S3 (Fig. 7a, b, e-g). In response to elevated temperature (T2D1), expression of ZjBAM3 was significantly (p < 0.05) upregulated at all three growth stages, and that of ZjBAM2 and ZjBAM6 was significantly (p < 0.05) downregulated in S2 but significantly (p < 0.05) upregulated at S1 and S3 (Fig. 7b, f). Moreover, under T2D1, the expression of the ZjBAM1, ZjBAM4, and ZjBAM9 was significantly (p < 0.05) upregulated at S1 but downregulated at S2 and S3 (Fig. 7a, d, i). Under T2D2, the expression of ZjBAM3 was significantly (p < 0.05) upregulated at all three stages (Fig. 7c), whereas that of ZjBAM5, ZjBAM6, ZjBAM8 was significantly (p < 0.05) upregulated only at S1 (Fig. 7e, f, h). However, under both elevated temperature and drought stress (T2D3), ZjBAM3 and ZjBAM8 expression levels increased significantly (p < 0.05) at all three growth stages (Fig. 7c, h), and ZjBAM1, ZjBAM2, ZjBAM4, ZjBAM5, ZjBAM6, and ZjBAM9 were significantly (p < 0.05) upregulated at S1 (Fig. 7a, b, e, f, i). Hence, these nine ZjBAM gene family members responded positively to temperature, drought, and the interactive effects during jujube fruit development; they play a pivotal role in response to abiotic stress.
Protein-protein interaction network analysis and validation of ZjBAM family genes
A network was constructed using the STRING database to investigate protein-protein interactions between ZjBAMs and A.thaliana proteins (Fig. 8a). A comparative genomic analysis of the jujube and A.thaliana genomes was performed with OrthoVenn2. A total of 12,139 genes pair orthologs were identified in jujube-A. thaliana (Fig. 8b). The ZjBAM family genes were used to retrieve the BAM genes among the A.thaliana orthologs. Seven BAM genes matched between the two plants (Table S4). Finally, a total of 47 proteins, including seven ZjBAM proteins, were identified at a medium confidence score of 0.400 (Table S4), and a protein-protein interaction network revealed their interactions (Fig. 8a). Furthermore, at a high confidence score (> 0.900), ZjBAM1, ZjBAM2, ZjBAM3, ZjBAM 4, ZjBAM7, and ZjBAM8 were found to interact with five, four, three, three, two, and four jujube proteins, respectively (Table S5). These results help elucidate the function of ZjBAM genes.
Furthermore, based on the functional annotation of seven jujube-A. thaliana BAM orthologs (Table S6), ZjBAM1-CTBMY is involved in cold resistance, regulates the accumulation of maltose and circadian regulation starch degradation. ZjBAM7-BAM6 regulates in cellulose biosynthetic, carbohydrate metabolism, polysaccharide catabolism, and response to plant growth stages. ZjBAM8-BMY2 which is repressed in the plant structure and growth stages, is involved in carbohydrate metabolism. Hence, these three genes of ZjBAM1, ZjBAM7, and ZjBAM8 were selected as key genes for further protein interaction and functional analysis. Combined with the screening results with a high confidence interaction score (Table S5), three interaction proteins pairs—ZjBAM1 (Zj.jz015515046)-ZjAMY3 (Zj.jz040083023), ZjBAM7 (Zj.jz013313009)-ZjDPE1 (Zj.jz018223043), and ZjBAM8 (Zj.jz040841049)-ZjDPE1 (Zj.jz018223043)—were used to validate the protein-protein interactions by BiFC. The target genes, ZjBAM1, ZjAMY3, ZjBAM7, ZjBAM8, and ZjDPE1 (Fig. S1a-e), were amplified using primers (Table S7). The pCAMBIA1300YNE plasmid was constructed and verified using double enzyme digestion, followed by sequencing (Shaanxi Breeding Biotechnologies Co., Ltd., Shaanxi, China) validation (Fig. S1f-j). Then, the recombinant plasmid was transformed into the Agrobacterium strain GV3101 and validated using colony PCR (Fig. S1k-o). Finally, the fusion plasmid constructs were generated and temporarily expressed in tobacco mesophyll cells to examine the yellow fluorescent signal. The results indicated that the ZjBAM1-ZjAMY3 (Fig. 9a, d, e, f) and ZjBAM8-ZjDPE1 (Fig. 9c, d, h, i) protein interactions were present in the plasma membrane and nucleus, whereas ZjBAM7-ZjDPE1 (Fig. 9b, d, g, i) interaction was present only in the plasma membrane. These findings were largely consistent with the predictions of the protein-protein interactions network analysis based on bioinformatics.
Homology modeling of BAM in jujube
A 3D structure model of the nine jujube BAM family members was plotted using homology-based modeling (Fig. 10). Secondary protein structure predictions showed that all ZjBAM proteins were primarily composed of random coils (43.05–50.36%), followed by α-helices (30.89–39.28%), extended strands (11.84–15.66%), and β-turn (4.88–7.04%) (Table 1). No signal peptides or transmembrane regions were detected in any ZjBAM protein. The 3D structural quality was confirmed by calculating the root mean square deviation (RMSD). The RMSD for all models except that of ZjBAM2 was < 3 (ZjBAM1 = 1.732, ZjBAM3 = 1.941, ZjBAM4 = 1.631, ZjBAM5 = 2.101, ZjBAM6 = 2.101, ZjBAM7 = 0.326, ZjBAM8 = 1.276, ZjBAM9 = 2.970). Hence, the 3D protein structure predictions were reliable. Moreover, ZjBAM7 has an identical 3D structure model (RMSD = 0.326). The predicted 3D structure models of the ZjBAM protein family members suggest that their evolutionary paths and biological function are consistent.
The Chinese jujube is an economically important tree species with excellent abiotic stress resistance and rich nutritional composition. The metabolic conversion of sugars including glucose, fructose, and sucrose in fresh jujube fruits affects taste and market value . The BAM genes control sugar degradation and conversion and play various regulatory roles in jujube development and abiotic stress response [30, 31]. ZjBAM genes directly or indirectly participate in starch, sucrose, glyoxylate, and dicarboxylate metabolism . Herein, we identified nine ZjBAM genes in the jujube genome and comprehensively analyzed their structural characteristics, regulatory networks, abiotic stress responses, and protein interactions. As such, these findings establish a foundation for future studies investigating the functions of BAM genes and BAM-mediated sugar metabolism in jujube.
Characterization and evolution of the BAM gene family in jujube
BAM (EC18.104.22.168) is an exohydrolase that acts on the non-reducing ends of linear α-1,4 glucosidic linkages. It successively cleaves the chains to produce maltose and limited dextrin [17, 32]. BAM belongs to the glycoside hydrolase family 14 and contains a typical Glyco_hydro_14 (PF01373) conserved domain at the N-terminus or a central position [33, 34]. BAM is a multigene family in several different plant species. Nine BAM genes were identified in A. thaliana , four in rice , nine in barley , 16 in banana , six in grapevine , 30 in Brassica napus, 11 in B. rapa, and 20 in B. oleracea . Here, we identified nine genes (ZjBAM1–ZjBAM9) encoding BAM in the jujube genome database. This nine-gene subfamily was further divided into four groups classified by structural similarity. Conservation of the intron positions among the BAM family members of Arabidopsis indicated that there are two subfamilies in terrestrial plants. Subfamily I includes BAM1, BAM3, and BMA9, while subfamily II comprises BAM2, and BAM4–BAM8 [18, 39]. Multisequence alignment of the jujube BAM sequences revealed that Glu-186 and Glu-380 were highly conserved. The substrate-binding and active site of β-amylase contains the catalytic residues Glu-186 and Glu-380, as well as flexible loop and inner loops [19, 40]. Phylogenetic analysis of jujube, apple, poplar, cucumber, peach, and A. thaliana revealed that the BAM proteins were evolutionarily conserved. This discovery corroborated the results of BAM phylogenetic tree analyses of A. thaliana, peach, tomato, apple, citrus, strawberry, and pear . The hydrolytic pathways of starch degradation generally involve AMY, SS, and BAM. AMY and SS are key carbohydrate hydrolytic enzymes that catalyze starch breakdown [33, 41, 42]. AMY, DPE, and ISA proteins that interact with ZjBAM proteins were identified by protein interaction network analysis. Furthermore, ZjBAM1-ZjAMY3, ZjBAM7-ZjDPE1, and ZjBAM8-ZjDPE1 protein interactions that were present in the plasma membrane and nucleus were validated by BiFC. The α-amylase (AMY1/3) are key carbohydrate hydrolytic enzymes that act synergistically with β-amylase toward efficient starch degradation . 4-α-glucanotransferases (DPE1/2) are cytosolic proteins with transglucosidase and amylomaltase activities, which are essential for formation of sucrose from starch and cellular metabolism. Mutant studies on ISA1/3, which encodes an isoamylase-type debranching enzyme, show that the gene is involved in starch breakdown, whose mutation could cause the loss of detectable isoamylase activity, disruption of normal starch structure, reduced starch content, and abnormally structured amylopectins and phytoglycogens. Additionally, AT5G11720 is a hydrolase that is involved in carbohydrate metabolism and hydrolyzes O-glycosyl compounds; it is expressed in 23 plant structures during 13 growth stages. In addition, other interacting proteins, such as GBSS1 (Granule-bound starch synthase 1) and SS (starch synthase) are important enzymes regulating the catalytic degradation of starch and other sugars [42,43,44].
An evolutionary analysis of 961 BAM sequences in 136 species disclosed that BAM genes were extensively duplicated in terrestrial plants to increase the gene copy number and promote functionalization . A single tandem gene pair was detected in the jujube BAM gene family and localized to chr 12 (Fig. 3a). Moreover, it had a Ka/Ks < 1.0, indicating that it may undergo strong purifying selection for retention. An intergenomic collinearity analysis identified five collinear BAM family gene pairs between peach and jujube, eight pairs between jujube and apple (Fig. 5a), five pairs between poplar and jujube, two pairs between jujube and A. thaliana (Fig. 5b), and three pairs between jujube and cucumber (Fig. 5c). This indicates that the duplicated genes might have diverged during evolution. Similar results were found in the syntenic relationships among the BAM genes of Arabidopsis and Brassica .
Regulation of BAM genes in plant metabolism and abiotic stress response in jujube
Sugar metabolism plays a vital role in plant growth and development. Plants respond to abiotic stress by modulating carbohydrate conversion [45, 46]. Starch is a transitional form of carbon assimilation during fleshy fruit development. Its degradation is intimately associated with fruit ripening and metabolism [47, 48]. BAM modulates starch degradation, participates in plant sugar metabolism, and responds to abiotic stress . Numerous BAM genes are involved in plant stress response. For instance, AaBAM3.1 overexpression increases freezing tolerance in A. thaliana; heterologous AaBAM3.1 overexpression yields consistent results . Moreover, the expression of BnaBAM3 and BnaBAM5 is significantly upregulated in Brassica under heat stress . Meanwhile, VvBAM1 overexpression in tomatoes alters the soluble sugar levels and improves cold tolerance . The expression of CsBAM gene family members is significantly upregulated in Camellia sinensis under ABA, salt, drought, and cold stress . In jujube, expression of BAM has been reported as significantly upregulated in the sugar- and acid-related metabolic pathways in the transcriptomes of ‘Lingwuchangzao’ jujube propagated by grafting and root tillers . Here, we analyzed the transcriptional profiles of nine ZjBAM genes in jujube subjected to elevated temperature and drought and found that the expression of ZjBAM5, ZjBAM6, ZjBAM3, ZjBAM2, and ZjBAM8 were markedly upregulated. A qRT-PCR analysis showed that the expression of these genes was significantly (p < 0.05) upregulated in response to the interaction between elevated temperature and drought stress. Additionally, expression of ZjBAM1, ZjBAM2, ZjBAM5, and ZjBAM6 was significantly upregulated in response to severe drought, while the expression of nine ZjBAM genes was significantly upregulated in response to high temperature stress.
We also found that ZjBAM genes contain several cis-acting elements, including the stress-related STRE, WRE3, and W, the phytohormone-related ARE, GARE-motif, MYC, ABRE, and ERE, as well as the growth and development-related AAGAA, MRE, MBSI, MYB, and O2-site. ZjBAM3 was particularly enriched in stress-responsive elements (Fig. 3b), which corresponds to the significant expression in three growth stages under elevated temperature (T2D1), suggesting a potential regulatory function. For the BAM gene family members of C. sinensis, a stress-related cis-acting element has been reported, including ABRE, MBS, STRE, MYB, MYC, and ERE . DRE, LTRE, and STRE respond to drought, low temperature, and heat stress in bread wheat . Promoters may regulate the temporal and spatial expression of genes, and these cis-acting elements are important for gene function regulation. Consequently, further validation of the molecular regulatory mechanism of ZjBAM genes to abiotic stress is warranted in future studies.
As jujube trees have a long growth cycle, extremely high genomic heterozygosity, and challenges associated with transformation [1, 51], it would be feasible to clone the ZjBAM genes into a tomato by constructing an overexpression vector and determining the sugar content under elevated temperature and drought stress conditions, to clarify the direct regulatory relationship between ZjBAM and sugar content. Furthermore, constructs containing the stress-related promoter fused to the β-glucuronidase gene will allow for the identification of the core segment that responds to temperature and drought-induced expression. Additionally, a yeast one-hybrid system will facilitate the screening of key transcription factor proteins, which will require further verification by a dual-luciferase reporter gene assay. This system will further help elucidate regulatory mechanisms of ZjBAM genes expressed under elevated temperatures and the drought-induced regulation of jujube sugar metabolism, while assessing the effect of climate change on the quality of jujube fruit at the molecular level.
The present study is a comprehensive analysis of the ZjBAM gene family in jujube. Nine ZjBAM genes were identified and divided into four groups. Their basic physicochemical characteristics, conserved domains, structures, motif compositions, cis-acting elements, chromosomal localizations, protein interaction networks, and 3D structure models were analyzed. Phylogenetic and synteny analyses of the BAM genes from various plant species provided novel perspectives regarding the evolution of the jujube BAM gene family. Regulatory and expression analyses demonstrated that jujube BAM genes control sugar metabolism and positively respond to elevated temperature and drought stress. Furthermore, the ZjBAM family interacting proteins were identified and a protein-protein interaction network was established. Three interaction proteins pairs ZjBAM1-ZjAMY3, ZjBAM7-ZjDPE1, and ZjBAM8-ZjDPE1 were verified to be present in the plasma membrane and nucleus by BiFC. Thus, collectively, this study provides a theoretical basis for further exploration of sugar metabolism responses to elevated temperature and drought stress, while providing candidate genes for future breeding of jujube with high sugar content and excellent resistance.
Identification of ZjBAM family genes
The jujube BAM (β-amylase, EC:22.214.171.124| gene 23,406) gene was first reported to be involved in the regulation of sugar and organic acid metabolism in the fruits of different propagations of ‘Lingwuchangzao’ jujube. Transcriptome differential analysis indicates that the BAM gene is significantly upregulated during sugar transformation; however, the background and gene family members of jujube remain unknown . Here, we identified the BAM gene family members of the jujube genome. BAM protein sequence was elucidated with InterPro (https://www.ebi.ac.uk/interpro/). It contains a Glyco_hydro_14 (IPR001554, glycoside hydrolase family 14) conserved domain. A hidden Markov model (HMM) profile (PF01373.19) was obtained by searching the Pfam database (http://pfam.xfam.org/family/PF01373.19). HMMER3.1 identified BAM gene family members in the jujube genome (https://datadryad.org/stash/dataset/doi:10.5061/dryad.83fr7) . The Expect (e) cutoff was set to 0.0001 (http://hmmer.org/). Nine ZjBAM gene family members were identified, and their Glyco_hydro_14 conserved domains were authenticated with SMART (http://smart.embl.de/) and the Conserved Domain Database (https://www.ncbi.nlm.nih.gov/cdd/). The gene family members were named ZjBAM1–ZjBAM9. Their physicochemical properties including molecular formulas and weights, isoelectric points (pI), instability and aliphatic indices, and grand averages of hydropathicity (GRAVY) were estimated with the ExPASy database (https://web.expasy.org/protparam/). Their protein secondary structures were predicted with SOPMA (https://npsa-prabi.ibcp.fr/NPSA/npsa_sopma.html). PSort II (http://psort.hgc.jp/) was used to predict the subcellular localization of the ZjBAM proteins.
Conserved domain alignment, phylogenetic tree, exon-intron structure, and conserved motif analyses
The amino acid sequences of the BAM gene family member domains were aligned with DNAMAN v. 6.0.1 (Lynnon Biosoft, San Ramon, CA, USA). The phylogenetic tree of the BAM gene family members from jujube and other species was constructed using the neighbor-joining (NJ) method with 1000 bootstrap replications in MEGA X v. 10.1.1 (https://megasoftware.net). Based on an evolutionary scenario of genome rearrangements within the Rhamnaceae and on a possible gene family expansion and contraction in jujube and other species , apple (M. domestica), poplar (P. trichocarpa), cucumber (C. sativus), peach (P. persica), and A. thaliana species were selected to construct a phylogenetic tree. The genomic data of these species were downloaded from Ensembl (http://plants.ensembl.org/index.html). Exon-intron structures were analyzed with GSDS v. 2.0 (http://gsds.gao-lab.org/). The conserved motif was identified with MEME (https://meme-suite.org/meme/). TBtools (https://github.com/CJ-Chen/TBtools) was used to visualize the phylogenetic tree of the gene family, conserved domain, and motifs .
Chromosome localization, gene duplication, cis-acting element, and synteny analyses
The ZjBAM gene members were localized using the gene annotations in GFF files and plotted and visualized with Mapchart v. 2.3 (https://www.wur.nl/en/show/Mapchart.htm). The loci of the ZjBAM genes on the genome and the regions 1500 bp upstream from them were selected as promoter regions used to predict the cis-acting elements in the PlantCARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) database. They were then visualized with GSDS v. 2.0 (gsds.gao-lab.org). MCScanX (https://github.com/wyp1125/MCScanx) was used to analyze gene duplication and collinearity . Circos (http://www.circos.ca) was used to visualize genome collinearity. Nonsynonymous (Ka) and synonymous (Ks) substitution rates for gene pairs were evaluated with KaKs Calculator v. 1.2 (https://sourceforge.net/projects/kakscalculator2/). The Ks values were used to calculate the divergence time according to Eq. 1 [54, 55]:
where r = 1.5 × 10− 8 for dicotyledons.
Plant material and abiotic stress treatments
‘Lingwuchangzao’ jujube fruits were obtained from the experimental farm of Ningxia University (38.78° N, 106.07° E, 1117 m a.s.l.). A split-plot design for a two-factor experiment was used with three replications (Fig. 11a and b). The main plot factor was air temperature (T) with two treatment levels: T1, natural air temperature; T2, elevated air temperature = T1 + (2 ± 0.5 °C). The subplot factor was drought (D), with three treatment levels: D1, 70–75% field capacity; D2, 50–55% field capacity; and D3, 30–35% field capacity. Each subplot contained three replicates. A total of 54 jujube trees (5-year-old) were planted in six open-top chambers (OTCs) (Fig. 11a and b, Table S8) . The experiments were conducted in the OTC, a square with a length of 3.0 m and a height of 2.3 m, and each chamber was divided into nine subplots of 1.0 m × 1.0 m with an insulation plate. An OTC simulation control system was used to regulate and monitor soil moisture and air temperature, and an automatic solar irrigation system was used to control the soil moisture. Data were collected using multi-channel wireless data acquisition equipment (ZWSN-C-A) to monitor the atmospheric temperature and soil moisture in the container (Fig. 11a) . The orientation of all plots was in a north-south configuration. The average tree height was 1.5 m, and the plants were spaced in a 1.0 m × 1.0 m arrangement. Previous studies showed that under elevated temperature and drought stress, the fruit’s physiological indicators, such as sugar, organic acid, pigments, and enzyme activities, are significantly altered, and differentially expressed genes are significantly enriched in the three growth stages of the fruit: white ripening, coloring, and complete ripening [12, 13, 56, 57]. Samples were collected according to previously reported methods [12, 13]. Approximately 20 fruit samples from each tree were collected from marked fruit clusters during the fruit white ripening (S1; 08/20/2020), coloring (S2; 09/20/2020), and complete ripening stages (S3; 10/05/2020) to ensure that the collected fruits had the same flowering time and fruit development stage (jujube has an indefinite inflorescence) (Fig. 11c). Each treatment consisted of three replicates (three trees), and 20 fruits were collected from each tree and mixed for subsequent experiments. The samples were collected in liquid nitrogen and stored at − 80 °C until transcriptome profiling and qRT-PCR analyses. Each treatment contained three biological replicates that were used for Illumina sequencing and qRT-PCR analysis, and each was performed in three technical repeats, respectively.
Total RNA was extracted from the jujube fruit samples using an OmniPlant RNA Kit (DNase I) (CWBIO, Beijing, China). following the manufacturer’s instructions. RNA quality was assessed using 2% gel electrophoresis. RNA concentration was determined with a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). The cDNA libraries were constructed with an Illumina® TruSeqTM RNA Sample Preparation Kit (Illumina Inc., San Diego, CA, USA) and an Illumina® Novaseq 6000 System (Shanghai Meiji Biological Medicine Technology Co., Ltd., Shanghai, China). After sequencing, the raw reads were filtered, and clean data were obtained by removing low-quality reads and adapter sequences. High-quality clean data were aligned to the reference genome sequence of jujube with HISAT2 v. 2.0.1 (http://daehwankimlab.github.io/hisat2/download/) [1, 51]. Read count data were used to analyze differential gene expression levels in the EdgeR package in R version 3.3.1 (R Core Team, Vienna, Austria) .
Metabolic pathway regulation and expression profile analysis
The protein sequences of all ZjBAM gene family members were submitted to metabolic pathway mapping using the KEGG pathway database BlastKOALA (https://www.kegg.jp/blastkoala/). The ZjBAM gene family member expression profiles were analyzed based on the transcriptome data for grafting and root tiller propagation  as well as those for elevated temperature and drought stress. The gene expression levels were calculated using the fragments per kilobase per million (FPKM) values. Gene expression was visualized using the heatmap package in R version 3.3.1.
qRT-PCR and statistical analysis
The ZjBAM family gene expression patterns were analyzed using qRT-PCR in a Lightcycler 480 System (Roche Diagnostics, Basel, Switzerland). The primers were designed according to the full cDNA sequence (Table S7) using PrimerQuest (http://sg.idtdna.com/Primerquest/Home/Index). CYP and ACTIN9 were the internal reference genes . First-strand reverse transcription was performed with a HiScript® II Q RT SuperMix for qPCR (+gDNA Wiper) Kit (R223–01; Vazyme Biotech, Nanjing, China). Four microliters of 4x gDNA Wiper Mix, total RNA, and RNase-free ddH2O were combined to constitute a final volume of 16.0 μL and used to remove genomic DNA. Then, 4.0 μL 5x HiScript II qRT SuperMix II was added to produce a final 20.0 μL for reverse transcription. The program was the following: 50 °C for 15 min, 85 °C for 5 s to inactivate the enzyme, and temperature decrease to 4 °C. Then, qRT-PCR was performed using a ChamQ Universal SYBR qPCR Master Mix Kit (Vazyme Biotech, Nanjing, China). The reaction system volume was 20 μL and consisted of 10 μL of 2x ChamQ Universal SYBR qPCR Master Mix, 0.4 μL PCR forward and reverse primers (10 μM), 1.0 μL cDNA template, and 8.2 μL ddH2O. The reaction consisted of denaturation at 95 °C for 5 min followed by 40 cycles of 95 °C for 30 s and 60 °C for 1 min. For each PCR, there were at least three biological and technical replicates. Relative ZjBAM expression levels were calculated using the 2−ΔΔCt method [60, 61]. Statistical analysis consisted of one-way ANOVA and was conducted in GraphPad Prism v. 8 (GraphPad Software Inc., La Jolla, CA, USA). Tukey’s HSD multiple comparisons were applied at the 0.05 significance level.
Gene interaction network of ZjBAM proteins
As A. thaliana is a model plant, an accurate and complete record of its protein interaction network is available in the STRING database (https://string-db.org/). Hence, in this study, orthologous genes were identified by comparing the jujube and A. thaliana genomes and subsequently mapping the jujube BAM protein interaction network through the A. thaliana protein interaction network. Firstly, jujube genome protein sequences were submitted to OrthoVenn2 (https://orthovenn2.bioinfotoolkits.net/home) for comparative genome analysis with A. thaliana to obtain all orthologous pairs between jujube and A. thaliana. Secondly, the ZjBAM protein interaction network was constructed with the STRING database based on A. thaliana and jujube orthologous pairs. Gene interactions between A. thaliana and jujube were identified and visualized using Cytoscape v. 3.8.2 (https://cytoscape.org/download.html).
Gene cloning, vector construction, and BiFC
The target gene sequences of ZjBAM1 (Zj.jz015515046), ZjAMY3 (Zj.jz040083023), ZjBAM7 (Zj.jz013313009), ZjBAM8 (Zj.jz040841049), and ZjDPE1 (Zj.jz018223043) were extracted from the jujube genome sequences and subsequently cloned by PCR. Primers were designed using Primer Premier 6.0 software (Premier Biosoft, CA, Palo Alto, CA, USA) (Table S7). The reaction mixture for PCR amplification contained the following: 20.0 μL 2x Phanta® Max Master Mix (P515, Vazyme, Nanjing, China), 1.0 μL each of forward and reverse primers, 0.5 μL cDNA template, and 17.5 μL RNase-free ddH2O, thus obtaining a final volume of 40.0 μL. The PCR reaction was performed as follows: pre-denaturation at 95 °C for 10 min, followed by 30 cycles of 95 °C for 30 s, 58 °C for 30 s, 72 °C for 30 s, and a final extension at 72 °C for 10 min. Products of PCR were visualized and verified using 1% agarose gel electrophoresis. The products were then extracted and purified using the HiPure Gel Pure DNA Mini Kit (Magen, Shanghai, China) and stored at − 20 °C. The plasmids were driven by the 35S promoter of pCAMBIA1300YNE and were digested with Xba I and Kpn I; a gel recovery kit (Bioteke, Beijing, China) was used to recover the enzyme cut products. The double-enzyme digestion reaction was performed using the following mixture: 4.0 μL 1x Tango buffer, 2.0 μL Xba I, 1.0 μL Kpn I, 4.0 μg plasmids, and approximately 40.0 μL of ddH2O. Samples were incubated at 37 °C for 40 min, followed by 65 °C for 15 min until enzyme inactivation. The target DNA fragment and linearized carrier were added to the centrifugal tube with a certain molar ratio (3:1–10:1) for recombination reaction. After mixing at 50 °C for 15 min, there was an immediate transformation, and the remaining sample was stored at − 20 °C.
Transformation and positive cloning selection: a tube containing 50.0 μL of DH5α competent cells was placed on melting ice and lightly shaken to suspend the cells. Then, 10.0 μL of reaction fluid was added. This solution was shaken lightly and incubated for 30 min on ice. The solution was then placed in a 42 °C water bath for 45 s to initiate heat shock, after which it was quickly placed on ice for 2 min. Then, 700 μL of LB liquid medium was added, followed by incubation at 37 °C for 60 min. The sample was centrifuged at 5000 rpm for 2 min to obtain the bacteria. Then, 400 μL of bacteria were spread evenly on an agar plate containing Kanamycin, followed by coating with sterilized glass beads. After the bacterial solution was absorbed by the agar, it was inverted and maintained at 37 °C overnight. The colonies were selected for cloning and identification by PCR.
Agrobacterium strain GV3101 transformation: Plasmid Mini Kit I (D6943–01, Omega Bio-Tek, Beijing, China) was used to extract the right sequencing plasmid. The procedure was as follows: GV3101 competent cells were placed on ice and 5.0–10.0 μL of plasmid was added, followed by an ice bath for 15 min; then, they were frozen in liquid nitrogen for 5 min, and thereafter, placed in a 37 °C water bath for 5 min, and then in an ice bath for 5 min. Then, 700 μL of antibiotic-free LB liquid medium was added to the mixture, followed by shaking at 28 °C for 2 h, and centrifugation at 5000 rpm for 1 min. The bacterial solution (400 μL) was spread on a plate (containing 50 mg·mL− 1 kanamycin and 25 mg·mL− 1 rifampicin), which was inverted and maintained at 28 °C. After the formation of a single colony, six single colonies per gene were selected for colony PCR verification. The primers were the same as those used for amplification.
Transient transformation of tobacco to perform BiFC: For BiFC assays, the coding regions of ZjAMY3 and ZjDPE1 were ligated into pCAMBIA1300YNE and fused with the C-terminus of yellow fluorescence protein (YFP). ZjBAM1, ZjBAM7, and ZjBAM8 were cloned into pCAMBIA1300YNE and fused with the N-terminus of YFP. The recombinant constructs were co-transformed in pairs into tobacco leaves, and the fluorescence signal was examined using a Leica TCS SP8 laser confocal microscope (Leica, Germany). The transformation was performed as follows: the tested Agrobacterium strain GV3101 solution was centrifuged (200 rpm) at 28 °C overnight. Then, 1–1.5 mL of bacterial solution was added to a sterile centrifuge tube to perform centrifugation at 1000 rpm for 10 min. The bacterial solution precipitated at room temperature (20 °C); the supernatant was discarded and suspended the bacteria. This step was repeated to further remove the remaining antibiotics. A small amount of suspended bacteria solution was diluted 10 times, followed by OD600 measurement. The solution was added to a 1.5 mL centrifuge tube and maintained at 20 °C for 1–3 hours to initiate infection. Before infection, the tobacco samples were placed under a white fluorescent lamp for 1 h to open pores. A suspension of 1.0 mL was injected into tobacco leaves using a plastic syringe. Then, the plants were cultured overnight in the dark and transferred to a culture room for 2 d. The infection area was cut, and the epidermis was peeled under a fluorescence microscope.
Homology modeling of ZjBAM 3D structure
Homology modeling was used to predict the 3D structure of the ZjBAM gene family members. The most similar template was selected using PSI-BLAST against the PDB database (https://www.rcsb.org/). The protein tertiary structures were modeled with the homology modeling server SWISS-MODEL (https://swissmodel.expasy.org/). Model quality was assessed using the SAVES server (https://servicesn.mbi.ucla.edu/) and further analyzed and refined with PyMOL v. 1.7.4 (https://osdn.net/projects/sfnet_pymol/downloads/pymol/1.7/pymol-v126.96.36.199.tar.bz2/).
Availability of data and materials
All data and materials used in this study are publicly available. The nine ZjBAM gene sequences and Ziziphus jujuba Mill. genome sequence information was obtained from the website https://datadryad.org/stash/dataset/doi:10.5061/dryad.83fr7. Genomic data for apple (Malus domestica), poplar (Populus trichocarpa), cucumber (Cucumis sativus), peach (Prunus persica), and Arabidopsis thaliana were obtained from Ensembl (http://plants.ensembl.org/index.html). All data generated or analyzed during this study are included in this published article and its supplementary information files.
Traditional Chinese medicine
Hidden Markov model
Grand averages of hydropathicity
Glycoside hydrolase family 14
Quantitative real-time polymerase chain reaction
Bimolecular fluorescence complementation
Yellow fluorescence protein
Huang J, Zhang C, Zhao X, Fei Z, Wan K, Zhang Z, et al. The jujube genome provides insights into genome evolution and the domestication of sweetness/acidity taste in fruit trees. PLoS Genet. 2016;12(12):e1006433.
Hou L, Chen W, Zhang Z, Pang X, Li Y. Genome-wide association studies of fruit quality traits in jujube germplasm collections using genotyping-by-sequencing. Plant Genome. 2020;13(3):e20036.
Ma Y, Zhang D, Wang Z, Song L, Cao B. Fruit morphology measurements of jujube cultivar ‘Lingwu Changzao’(Ziziphus jujuba mill. cv. Lingwuchangzao) during Fruit Development. Horticulturae. 2021;7(2):26.
Liu M, Wang J, Wang L, Liu P, Zhao J, Zhao Z, et al. The historical and current research progress on jujube–a superfruit for the future. Horticult Res. 2020;7(1):1–17.
Johnstone R, Shan F, McCarthy A. Chinese dates (jujubes)—a developing industry in Australia. In: Chinese Dates. Boca Raton: CRC Press; 2016. p. 319–33.
Liu M, Wang J. Fruit scientific research in new China in the past 70 years: Chinese jujube. J Fruit Sci. 2019;36(10):1369–81.
Shahrajabian MH, Khoshkharam M, Zandi P, Sun W, Cheng Q. Jujube, a super-fruit in traditional Chinese medicine, heading for modern pharmacological science. J Med Plants Stud. 2019;7(4):173–8.
Shahrajabian MH, Sun W, Cheng Q. Chinese jujube (Ziziphus jujuba mill.)–a promising fruit from traditional Chinese medicine. Kraków: Annales Universitatis Paedagogicae Cracoviensis Studia Naturae; 2020. p. 194–219.
Yoo K-Y, Li H, Hwang IK, Choi JH, Lee CH, Kwon DY, et al. Zizyphus attenuates ischemic damage in the gerbil hippocampus via its antioxidant effect. J Med Food. 2010;13(3):557–63.
Werner C, Fasbender L, Romek KM, Yáñez-Serrano AM, Kreuzwieser J. Heat waves change plant carbon allocation among primary and secondary metabolism altering CO2 assimilation, respiration, and voc emissions. Front Plant Sci. 2020;11:1242.
Song L, Qin F, Bai X, Cao B. Effect of elevated temperature and drought stress on fruit setting rate and fruit quality of Lingwu long jujuba. J Northwest Forest Univ. 2015;30(2):129–33.
Jiang W, Li N, Zhang D, Meinhardt L, Cao B, Li Y, et al. Elevated temperature and drought stress significantly affect fruit quality and activity of anthocyanin-related enzymes in jujube (Ziziphus jujuba mill. cv.‘Lingwuchangzao’). PLoS One. 2020;15(11):e0241491.
Jiang W, Chen L, Han Y, Cao B, Song L. Effects of elevated temperature and drought stress on fruit coloration in the jujube variety ‘Lingwuchangzao’(Ziziphus jujube cv. Lingwuchangzao). Sci Hortic. 2020;274:109667.
Ma Y, Bai L, Xu W, Cao B, Zhao S, Song L, et al. Transcriptome differences analysis of fruit of grafting and root tiller propagation of 'Lingwuchangzao' jujube. Mol Plant Breed. 2021;19(16):5297–306.
Abd-Elhalem BT, El-Sawy M, Gamal RF, Abou-Taleb KA. Production of amylases from Bacillus amyloliquefaciens under submerged fermentation using some agro-industrial by-products. Ann Agricult Sci. 2015;60(2):193–202.
Verma JP, Jaiswal DK, Krishna R, Prakash S, Yadav J, Singh V. Characterization and screening of thermophilic Bacillus strains for developing plant growth promoting consortium from hot spring of Leh and Ladakh region of India. Front Microbiol. 2018;9:1293.
Yue C, Cao H, Lin H, Hu J, Ye Y, Li J, et al. Expression patterns of alpha-amylase and beta-amylase genes provide insights into the molecular mechanisms underlying the responses of tea plants (Camellia sinensis) to stress and postharvest processing treatments. Planta. 2019;250(1):281–98.
Monroe JD, Storm AR. The Arabidopsis β-amylase (BAM) gene family: diversity of form and function. Plant Sci. 2018;276:163–70.
Thalmann M, Coiro M, Meier T, Wicker T, Zeeman SC, Santelia D. The evolution of functional complexity within the β-amylase gene family in land plants. BMC Evol Biol. 2019;19(1):1–18.
Sun S, Fang J, Lin M, Qi X, Chen J, Wang R, et al. Freezing tolerance and expression of β-amylase Gene in two Actinidia arguta cultivars with seasonal changes. Plants. 2020;9(4):515.
Fulton DC, Stettler M, Mettler T, Vaughan CK, Li J, Francisco P, et al. β-AMYLASE4, a noncatalytic protein required for starch breakdown, acts upstream of three active β-amylases in Arabidopsis chloroplasts. Plant Cell. 2008;20(4):1040–58.
Zeeman SC, Thorneycroft D, Schupp N, Chapple A, Weck M, Dunstan H, et al. Plastidial α-glucan phosphorylase is not required for starch degradation in Arabidopsis leaves but has a role in the tolerance of abiotic stress. Plant Physiol. 2004;135(2):849–58.
Lee JH, Yu DJ, Kim SJ, Choi D, Lee HJ. Intraspecies differences in cold hardiness, carbohydrate content and β-amylase gene expression of Vaccinium corymbosum during cold acclimation and deacclimation. Tree Physiol. 2012;32(12):1533–40.
Hao X, Yue C, Tang H, Qian W, Wang Y, Wang L, et al. Cloning of β-amylase gene (CsBAM3) and its expression model response to cold stress in tea plant. Acta Agron Sin. 2017;43(10):1417–25.
Peng T, Zhu X, Duan N, LIU JH. P tr BAM 1, a β-amylase-coding gene of P oncirus trifoliata, is a CBF regulon member with function in cold tolerance by modulating soluble sugar levels. Plant Cell Environ. 2014;37(12):2754–67.
Zhao L, Gong X, Gao J, Dong H, Zhang S, Tao S, et al. Transcriptomic and evolutionary analyses of white pear (Pyrus bretschneideri) β-amylase genes reveals their importance for cold and drought stress responses. Gene. 2019;689:102–13.
Nielsen TH, Deiting U, Stitt M. A β-amylase in potato tubers is induced by storage at low temperature. Plant Physiol. 1997;113(2):503–10.
Dong S, Beckles DM. Dynamic changes in the starch-sugar interconversion within plant source and sink tissues promote a better abiotic stress response. J Plant Physiol. 2019;234:80–93.
Guo S, Duan J-a, Qian D, Tang Y, Wu D, Su S, et al. Content variations of triterpenic acid, nucleoside, nucleobase, and sugar in jujube (Ziziphus jujuba) fruit during ripening. Food Chem. 2015;167:468–74.
Waititu JK, Zhang X, Chen T, Zhang C, Zhao Y, Wang H. Transcriptome analysis of tolerant and susceptible maize genotypes reveals novel insights about the molecular mechanisms underlying drought responses in leaves. Int J Mol Sci. 2021;22(13):6980.
Liang G, He H, Nai G, Feng L, Li Y, Zhou Q, et al. Genome-wide identification of BAM genes in grapevine (Vitis vinifera L.) and ectopic expression of VvBAM1 modulating soluble sugar levels to improve low-temperature tolerance in tomato. BMC Plant Biol. 2021;21(1):1–15.
Scheidig A, Fröhlich A, Schulze S, Lloyd JR, Kossmann J. Downregulation of a chloroplast-targeted β-amylase leads to a starch-excess phenotype in leaves. Plant J. 2002;30(5):581–91.
Hou J, Zhang H, Liu J, Reid S, Liu T, Xu S, et al. Amylases StAmy23, StBAM1 and StBAM9 regulate cold-induced sweetening of potato tubers in distinct ways. J Exp Bot. 2017;68(9):2317–31.
Lombard V, Golaconda Ramulu H, Drula E, Coutinho PM, Henrissat B. The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic Acids Res. 2014;42(D1):D490–5.
Koide T, Ohnishi Y, Horinouchi S. Characterization of recombinant β-amylases from Oryza sativa. Biosci Biotechnol Biochem. 2011;75(4):793–6.
Zhang Q, Li C. Comparisons of copy number, genomic structure, and conserved motifs for α-amylase genes from barley, rice, and wheat. Front Plant Sci. 2017;8:1727.
Miao H, Sun P, Miao Y, Liu J, Zhang J, Jia C, et al. Genome-wide identification and expression analysis of the β-amylase genes strongly associated with fruit development, ripening, and abiotic stress response in two banana cultivars. Front Agricult Sci Engin. 2017;3(4):346–56.
Luo D, Jia Z, Cheng Y, Zou X, Lv Y. Genome-wide analysis of the β-amylase gene family in Brassica L. crops and expression profiles of BnaBAM genes in response to abiotic stresses. Agronomy. 2020;10(12):1855.
Monroe JD, Breault JS, Pope LE, Torres CE, Gebrejesus TB, Berndsen CE, et al. Arabidopsis β-amylase2 is a K+-requiring, catalytic tetramer with sigmoidal kinetics. Plant Physiol. 2017;175(4):1525–35.
Kang Y, Tanabe A, Adachi M, Utsumi S, Mikami B. Structural analysis of threonine 342 mutants of soybean β-amylase: role of a conformational change of the inner loop in the catalytic mechanism. Biochemistry. 2005;44(13):5106–16.
Yi T, Sun J, Liang X, He S, Li L, Wen Z, et al. Effects of polymorphisms in pepsinogen (PEP), amylase (AMY) and trypsin (TRY) genes on food habit domestication traits in mandarin fish. Int J Mol Sci. 2013;14(11):21504–12.
Ma Y, Xie Y, Ha R, Cao B, Song L. Effects of Elevated CO2 on Photosynthetic Accumulation, Sucrose Metabolism-Related Enzymes, and Genes Identification in Goji Berry (Lycium barbarum L). Front Plant Sci. 2021;12:365.
Zhang S, Li C, Gilbert RG, Malde AK. Understanding the binding of starch fragments to granule-bound starch synthase. Biomacromolecules. 2021;22(11):4730–7.
Ulbrich M, Asiri SA, Bussert R, Flöter E. Enzymatic modification of granular potato starch using Isoamylase—investigation of morphological, physicochemical, molecular, and techno-functional properties. Starch-Stärke. 2021;73(1–2):2000080.
Shi J, Chen Y, Xu Y, Ji D, Chen C, Xie C. Differential proteomic analysis by iTRAQ reveals the mechanism of Pyropia haitanensis responding to high temperature stress. Sci Rep. 2017;7(1):1–11.
Wang Y, Qiu L, Song Q, Wang S, Wang Y, Ge Y. Root proteomics reveals the effects of wood vinegar on wheat growth and subsequent tolerance to drought stress. Int J Mol Sci. 2019;20(4):943.
Ajayi OB, Oyetayo FL, Akomolafe SF. Starch composition, glycemic indices, antioxidant properties and carbohydrate hydrolyzing enzymes activities of African star apple fruit parts. BMC Complement Med Ther. 2020;20(1):1–10.
Luo A, Kang S, Chen J. SUGAR model-assisted analysis of carbon allocation and transformation in tomato fruit under different water along with potassium conditions. Front Plant Sci. 2020;11:712.
Sun S, Hu C, Qi X, Chen J, Zhong Y, Muhammad A, et al. The AaCBF4-AaBAM3. 1 module enhances freezing tolerance of kiwifruit (Actinidia arguta). Horticult Res. 2021;8(1):1–15.
Liu H, Xing M, Yang W, Mu X, Wang X, Lu F, et al. Genome-wide identification of and functional insights into the late embryogenesis abundant (LEA) gene family in bread wheat (Triticum aestivum). Sci Rep. 2019;9(1):1–11.
Liu M, Zhao J, Cai Q, Liu G, Wang J, Zhao Z, et al. The complex jujube genome provides insights into fruit tree biology. Nat Commun. 2014;5(1):1–12.
Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, et al. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020;13(8):1194–202.
Wang Y, Tang H, DeBarry JD, Tan X, Li J, Wang X, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7):e49.
Huang Z, Duan W, Song X, Tang J, Wu P, Zhang B, et al. Retention, molecular evolution, and expression divergence of the auxin/indole acetic acid and auxin response factor gene families in Brassica rapa shed light on their evolution patterns in plants. Genome Biol Evol. 2016;8(2):302–16.
Koch MA, Haubold B, Mitchell OT. Comparative evolutionary analysis of chalcone synthase and alcohol dehydrogenase loci in Arabidopsis, Arabis, and related genera (Brassicaceae). Mol Biol Evol. 2000;17(10):1483–98.
Ma Y, Han Y, Cao B, Song L, Gao H. Transcriptomic and metabolomic conjoint analysis of the anthocyanins metabolism mechanism of ‘Lingwuchangzao’ jujube under elevated temperature and drought interaction, The 2nd International BioDesign Research Conference; 2021. p. 1–6.
Yaru H, Yaping M, Lihua C, Siming Z, Lihua S. Transcriptome and metabolome combined analysis of anthocyanin metabolism mechanism in fruit peel of Ziziphus jujuba mill cv. ‘Lingwuchangzao’ under the interaction of evaluated temperature and drought. J Fruit Sci. 2021;12(29):1–21.
Robinson M, McCarthy D, Chen Y, Smyth GK. edgeR: differential expression analysis of digital gene expression data User’s guide. Most. 2011;23:1–77.
Zhang C, Huang J, Li X. Identification of appropriate reference genes for RT-qPCR analysis in Ziziphus jujuba mill. Sci Hortic. 2015;197:166–9.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods. 2001;25(4):402–8.
Adnan M, Morton G, Hadi S. Analysis of rpoS and bolA gene expression under various stress-induced environments in planktonic and biofilm phase using 2−ΔΔCT method. Mol Cell Biochem. 2011;357(1):275–82.
The authors would like to thank the support from the School of Agriculture and Experimental Farm of Ningxia University.
This research was supported by the National Natural Science Foundation of China (Grant No. 32160360, 31760203), and the Key Research and Development Projects in Ningxia (International cooperation project. Grant No. 2018BFH03015).
Ethics approval and consent to participate
The plant material of this study protocol complies with relevant institutional, national, and international guidelines and legislation. All experimental protocols were approved by Ningxia University.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Collinear gene pairs of BAM-encoding genes among Z. jujuba, Malus domestica, Prunus persica, Arabidopsis thaliana, Populus trichocarpa, and Cucumis sativus.
Statistics of the transcriptome data of ‘Lingwuchangzao’ jujube under temperature and drought stress.
Transcriptome FPKM expression data of grafting (YJ) and root tiller (YG) propagation of ‘Lingwuchangzao’ jujube subjected to elevated temperature and drought conditions.
Protein interactions of members of ZjBAM family and their corresponding orthologs in A. thaliana.
ZjBAM family protein interactions at high confidence (0.900).
Annotation of ZjBAM family and corresponding orthologs in A. thaliana.
List of primer sequences used in this study.
The experimental design: a split-plot design for two-factor treatments.
Amplification of target genes, vector identification, and transformation of Agrobacterium strain GV3101 followed by PCR identification.
About this article
Cite this article
Ma, Y., Han, Y., Feng, X. et al. Genome-wide identification of BAM (β-amylase) gene family in jujube (Ziziphus jujuba Mill.) and expression in response to abiotic stress. BMC Genomics 23, 438 (2022). https://doi.org/10.1186/s12864-022-08630-5
- Carbohydrate metabolism
- Abiotic stress response
- Evolutionary conservation
- Starch-maltose interconversion
- Protein interaction