- Research article
- Open Access
On the possibility of death of new genes – evidence from the deletion of de novo microRNAs
BMC Genomics volume 19, Article number: 388 (2018)
New genes are constantly formed, sometimes from non-genic sequences, creating what is referred to as de novo genes. Since the total number of genes remains relatively steady, gene deaths likely balance out new births. In metazoan genomes, microRNAs (miRs) genes, small and non-coding, account for the bulk of functional de novo genes and are particularly suited to the investigation of gene death.
In this study, we discover a Drosophila-specific de novo miRNA (mir-977) that may be facing impending death. Strikingly, after this testis-specific gene is deleted from D. melanogaster, most components of male fitness increase, rather than decrease as had been expected. These components include male viability, fertility and males’ ability to repress female re-mating. Given that mir-977 has a negative fitness effect in D. melanogaster, this de novo gene with an adaptive history for over 60 Myrs may be facing elimination. In some other species where mir-977 is not found, gene death may have already happened.
The surprising result suggests that de novo genes, constantly rising and falling during evolution, may often be transiently adaptive and then purged from the genome.
Perhaps the most surprising insight to emerge from evolutionary genomics is that while genome sizes fluctuate over several orders of magnitude, gene content remains stable over long evolutionary periods. Given this observation, it is tempting to assume that new genes seldom arise in genomes. However, numerous studies, beginning with  and others [2,3,4,5], suggest that gene duplication at least is a prominent source of new genes. While emergence of new genetic material from components of existing genes is now widely accepted, the idea that protein-coding sequences can spring de novo from non-coding regions is more controversial. While some examples have recently been obtained [6,7,8,9], it is more likely that non-coding genes can originate this way since they would not have to produce functional and folding proteins. Indeed, systematic studies of non-coding RNA evolution found frequent de novo generation of such genes [10,11,12,13,14,15,16]. Given that despite this frequent generation of novel material gene content remains stable over time, one has to conclude that genes are equally frequently lost [6, 17].
A common form of gene death is akin to “Dead On Arrival” transposons [18, 19], i.e. genes that never truly become functional and are expressed as transcription noise . Although some examples of the elimination of established new protein-coding genes are available [21,22,23,24,25,26], these observations were made after the loss of transcription or function has been completed. In contrast, we are interested in studying the processes that lead to de novo gene death, an aspect of genome ecology that has been largely ignored.
To study the processes that lead to the death of established new genes, it would be very informative to capture genes as they are being eliminated from the genome. The difficulty is that it is hard to predict from sequence data alone when a gene is on its way out. In a previous survey  we found a cluster of eight miRNAs that arose de novo in Drosophila, evolved conservatively for millions of years, but whose evolution sped up in more recent lineages. Although it is tempting to think that these miRNA loci are undergoing gene death, it is also possible that they are adaptively evolving after a shift in their function. To test these possibilities, we deleted one of these miRNAs from the genome and tested the effect of the knockout on a number of fitness components. We found no evidence of a novel function, but abundant reasons to believe that the deletion genotype is more fit that the functional copy, suggesting that this gene is indeed undergoing elimination. Our results suggest that gene death is an important component of genome evolution that can be studied by combining sequence and functional approaches.
Fast sequence and expression evolution of mir-977
The inference of the origination of mir-977 is based on the phylogenetic history of the entire cluster shown in Fig. 1. With three mosquito (Culicinae) genomes as outgroup (see ) together with all the in-group Drosophila genomes, every member of the miR- 972 cluster can be placed on the phylogenetic tree in the context of the 10 miRNA genes of the cluster. This is a cluster that has a “track record” of generating de novo miRNAs continually [10, 11] . We now stated the de novo origin of mir-977 with greater circumspection in the context of other younger de novo miRNAs.
Focusing on the mir-977 locus from the miR-972 cluster, we examined its nucleotide substitution rates among Drosophila lineages (Fig. 1a). This X-linked gene originated de novo prior to the origin of the Drosophila clade (more than 60 Myrs ago). The seed sequence in its mature product is almost identical between the melanogaster and virilis groups. However, younger Drosophila lineages show much faster evolution. Indeed, while the conservation statistic is 0.616 between D. virilis and D. melanogaster, it is 1.096 between D. simulans and D. melanogaster  .The 1.8 fold change is significant, (P < 0.05, Fisher’s exact test). Furthermore, this gene was altogether lost in the D. pseudoobscura lineage .
In addition to its fast sequence evolution, expression levels of mir-977 have also diverged among species. Using public small miRNA-seq data (see Methods and Additional file 1: Table S1), we found that mir-977 exhibits high and medium expression in D. melanogaster and D. virilis but rather low and nearly undetectable expression in D. simulans and D. erecta. The nearly undetectable expression in D. erecta might be due to multiple hairpins in its secondary structure, which would lead to abnormal miRNA processing. Furthermore, mir-977 has higher expression variance in the testes of multiple D. melanogaster lines than the conserved miRNAs that have important developmental functions (miR-184, bantam etc.; see Additional file 1: Table S2). Given its disappearance in the D. pseudoobscura and D. erecta lineages, fast evolution of mir-977 sequence and expression levels in D. melanogaster indicate its impending elimination from that genome as well.
mir-977 gene deletion
To further investigate the possible fate of mir-977 in D. melanogaster, we wanted to assay its effect on fitness. A deletion of this miRNA at its locus is necessary to perform robust experiments of this sort. While a large collection of targeted knockouts of D. melanogaster miRNAs does exist , the deletion that eliminates mir-977 in that set also disrupts other loci. Therefore, we set out to generate a specific knockout of mir-977 in D. melanogaster.
To achieve a complete deletion of the locus, we used the Transcription activator-like effector nuclease (TALEN) technology . This approach involves designing a nuclease domain that binds next to the mir-977 mature sequence and makes double-strand breaks in the germline. Imperfect non-homologous end joining repair of these breaks results in deletions (Fig. 2a, upper panel). We used the identical w1118 white-eyed background for the wildtype and the miRNA knockout (for details, see Additional file 2: Supplementary text 1) and tried our best to avoid the possible off-target effects of TALEN (for details, see Additional file 2: Supplementary text 2). After TALEN injection, we performed a series of crosses to isolate and test candidate mutants (Fig. 2a, lower panel). We succeeded in identifying a 21 bp deletion that spans the mature mir-977 sequence (Fig. 2b). We then checked mir-977 expression in testes, the tissue where the wild-type miRNA is exclusively found. We were unable to detect any mature mir-977-5p product (Fig. 2b), while expression of the nearby miR-975 is normal. We therefore conclude that we have successfully constructed a null allele of mir-977.
mir-977’s effect on male fitness
Having established a precise mir-977 deletion in a defined genetic background, we are in a position to assay its fitness effects. Since mir-977 is expressed exclusively in testes, we focused on measuring male fitness components. The same w1118 background is used in the experiments of the mir-977 KO flies and in the wildtype control.
We first surveyed total male fertility, a complex phenotype that comprises multiple steps process from successful mating to production of adult offspring. We started by measuring the overall number of adult progeny produced by females of the same genotype mated to control vs mir-977− males. Strikingly, we observed a significant increase (43.6%, Student’s t test P = 0.001, N = 15) of male fertility in deletion males (Fig. 3a, left panel and Additional file 1: Table S3). It is quite unusual for a gene knockout to outperform the functional gene in such an obvious way. Although the mir-977 deletion was generated on the same genetic background as the control, it is still possible that an off-site mutation is responsible for the phenotypic effect we observe. To test this, we generated an independent five base-pair deletion in the mir-977 mature region (listed as mir-977KO-2 in Materials and Additional file 1: Figure S1a). We again found an increase in male fertility associated in mir-977 disruption (35.3%, Student’s t test P = 0.001, N = 15; Additional file 1: Figure S1b and Table S3). We thus conclude that the deletion of mir-977 itself is indeed responsible for the increase in male fertility we observe.
To further tease apart individual male fertility components (ovulation stimulation and sperm quality), we counted egg production and egg hatchability separately after mating. Deleting mir-977 increased egg production by 38.4% (Fig. 3a, right panel and Additional file 1: Table S4; Student’s t test P = 0.04, N = 12) compared to control, while slightly, and not statistically significantly, decreasing egg hatchability (Additional file 1: Table S4; 3.1%, Mann Whitney test P = 0.74, N = 12). It thus appears that the male fertility benefit of the mir-977 deficiency is entirely due to an increase in ovulation induction.
Since mir-977 is X-linked, it seems plausible that it could exert a fitness effect on the X chromosome at the expense of the Y. We therefore asked whether there is sex-linked meiotic drive associated with this new miRNA [29,30,31]. To score meiotic drive, we crossed miR977− or wild type males to w1118, mir-977+ females. We then compared the relative abundance of female and male progeny. Their ratio reflects distortion in sex chromosome transmission. We found a slight, but statistically insignificant, sex ratio distortion effect (3.9%, Student’s t test P = 0.61, N = 20) of mir-977 deletion (Fig. 3b and Additional file 1: Table S5.
We next turned to examining the potential effect of knocking out mir-977 on male viability. We crossed mutant or wild type males to females that bore the same miRNA genotype on one sister X chromosome and a visible balancer chromosome (FM7c, see Methods) on the other. By comparing the abundance of M/Y in the progeny males (Fig. 3c, Additional file 1: Table S6), where M is either mir-977− or mir-977+, we can measure the effect of the deletion on male viability. The deficiency improved male viability significantly (7.1%, Binomial test, P = 0.012). Since mir-977 expression is confined to males, its deletion should not affect females. To test this, we counted female survival in the same experiment. We found no significant difference between control and mir-977− females (Binomial test, P = 0.48; Additional file 1: Table S6). This again suggests that the effects we observe are the direct consequence of mir-977 disruption.
Finally, we assayed male mating ability. It has been well established [32,33,34] that in addition to success in achieving mating and inducing ovulation, males protect their sperm from competition by subsequently mating males. We already measured ovulation rates and now turn to assessing possible effects of mir-977 knockout on mating success and sperm competition.
To assay mating success, w1118 females were mated to either control or mir-977 knockout males (Stage I). After 2.5 days, these mated females were presented with reference males for a second mating (Stage II) and their mating rates at stage I and II were measured (see Methods; Fig. 3d). Our observations show that the mir-977 deletion did not affect mating success but conferred an advantage over wild type males in reducing female receptivity (43.9% vs 22.5%, Chi-square test P = 0.04, N = 40). Thus, we again see a beneficial effect of mir-977 elimination on male mating success.
To investigate the potential fates of genes that have originated de novo relatively recently in evolutionary time, we focused on mir-977. This microRNA originated not long prior to the origin of the Drosophila clade 60 Myrs ago. While it then evolved conservatively on the deeper branches, it has recently been lost in the D. pseudoobscura lineage and has been evolving fast in the D. melanogaster subgroup. To further probe the possible fate of mir-977 in D. melanogaster, we created a complete knockout of this gene and assayed the effects of the deletion on male fitness. Interestingly, we see a consistent increase in performance of the deficiency across male fitness components, most notably fertility, viability and prevention of female re-mating.
Fitness effects of a mutation can depend on the environmental context . Since it is not feasible to assay all relevant conditions, particularly because we do not know all variables encountered by flies in the wild, we cannot rule out the possibility that loss of mir-977 can be deleterious under some circumstances. However, given the much faster evolution of this gene in younger Drosophila lineages and its complete loss in D. pseudoobscura, impending loss of mir-977 in D. melanogaster appears to be a reasonable expectation. If so, our results suggest that rather than becoming non-functional, this miRNA has turned actively deleterious to male reproductive functions (For possible mechanisms, see Additional file 2: Supplementary text 3). In this situation, natural selection is ready to eliminate mir-977 when the right mutant arrives.
Why then has mir-977 not been removed? First, the mechanism most conducive for eliminating a miRNA gene would be small deletions (Single base pair substitutions are usually too weak). However, within the tight cluster of miRNA genes in the neighborhood of mir-977, most such deletions may delete (parts of) the neighboring genes and are thus deleterious. Second, given the advantage of the right deletion, its spread in the population would be rapid and the polymorphism of a null mir-977 mutation would last only briefly. In contrast, an observed polymorphism is more likely the indication of a fitness-neutral mutation slowly drifting in the population . From the polymorphism database (Drosophila Population Genomics Project ), we did not find evidence for mir-977 polymorphism. Third, this gene has indeed been eliminated at least twice independently in Drosophila (D. pseudoobscura and D. erecta, see Fig. 1b). In short, a deleterious mir-977 gene would be retained for a while in the population until the right deletion happens. Then, it would be lost very quickly from the population. Taken together, our results provide insights into life cycles of de novo genes (Additional file 1: Figure S2).
Our results suggest a general approach to studying novel gene death. Clearly, sequence evolution alone is insufficient to predict gene fate. However, adding experimental results can yield additional insights. What has happened to shift the fitness contribution of mir-977 to the testes transcriptome? Ecological factors can have changed, rendering its effects deleterious in the new environments. Alternatively, or perhaps additionally, the transcriptional regulatory network topology may have been re-arranged during evolution. Detailed transcriptome studies in multiple species with mir-977 present or absent may answer these questions.
The constant rises and falls of de novo genes suggest that de novo genes do play a role in adaptation. Interestingly, the transient nature of the adaptive functions almost guarantee the controversy surrounding them.
Fly stocks and mir-977 mutant generation
Flies were raised in standard media at 25 °C under a 12:12 h light/dark cycle. Stocks (w1118 and FM7c (NO.12246)) were obtained from the Bloomington Stock center. The reference line for mating success assays was w1118/Y; miniwhite-UASeGFP/miniwhite-UASeGFP, a red-eyed strain with an insertion of mini-white at the 51D position on chromosome 2 via the PhiC31 site-specific chromosomal integration system. The crossing scheme for mir-977 mutant generation is shown in Fig. 2a. miRNA mutants were detected by PCR and verified by qRT-PCR (Primers are shown in Additional file 1: Table S8). To make sure no exchange of material between the balancer and the balanced chromosome, all lines have been subjected to PCR to confirm the correct genotype.
mir-977 KO verification by qRT-PCR
Three batches of 30–50 testes each were collected independently as biological replicates for qRT-PCR assays. Total RNA was extracted using the Ambion TRIzol® Reagent (code No. 15596018). qRT-PCR of miRNAs was conducted using stem-loop reverse transcription  followed by TaqMan PCR analysis using the miRNA UPL (Roche Diagnostics) probe assay protocol . Relative miRNA expression levels were estimated using the 2−ΔΔCTmethod . 2S RNA was used as the endogenous control.
Sequence and expression analysis of mir-977 across species
Mature mir-977 sequences were retrieved from the current Release 21 of miRBase (http://www.mirbase.org) . Secondary structures of miRNA precursors were predicted using RNA-fold (http://rna.tbi.univie.ac.at/cgi-bin/RNAWebSuite/RNAfold.cgi) .
Expression analyses were based on miRNA deep sequence data, using small RNA libraries from testes (except for D. erecta, since only male whole-body data are available for this species). The data were retrieved from the GEO database (http://www.ncbi.nlm.nih.gov/geo/, accession numbers GSM909277 for D. melanogaster- Oregon R-1,GSM 909278 for D. melanogaster-Oregon R-2, GSM 548591 for D. melanogaster- hs-Penlope, GSM 548589 for D. melanogaster-A1,GSM 548584 for D.melanogaster-yw67c23(2),GSM1165053 for D. simulans, GSM1357621 for D. erecta, and GSM5486109 for D. virilis). miRNA precursors in D. melanogaster were retrieved from miRBase . The orthologous precursors from D. simulans, D. erecta, and D. virilis were obtained from . Mature miRNA sequences were retrieved from the miRBase. Missing annotations of miR-972 cluster members in D. simulans, D. erecta, and D.virilis were supplemented with data from  and miRdeep2 prediction . miRNA mature sequence expression was quantified using the quantifier.pl script from miRdeep2 (version 188.8.131.52), using all reads mappable to the mature sequences and scaling as Reads Per Million (RPM) in each library. miRNA expression is the sum of two mature products from a given precursor.
Fitness component assays
To survey male fertility, each three to five-day-old mir-977 KO or control male was mated to three to five-day-old virgin wild-type females for two days. The progeny for each mating was counted to assay male fertility. Twenty replicate crosses were set up for each genotype.
To survey the sub-components (ovulation stimulation and sperm quality) of male fertility, each three to five-day-old mir-977− or control male was mated to one virgin wild-type female for two days. We then counted the number of eggs and progeny (1st larvae) to estimate egg production (as male’s ability to stimulate ovulation) and egg hatchability (as sperm quality). Twelve replicate crosses were set up for each genotype (Raw data are shown in Additional file 3).
To survey the distortion in sex chromosome transmission, we crossed hemizygous mir-977 KO or control males (M/Y) to w1118 females (w1118/w1118). In the F1 progeny for each cross, the ratio of w1118/M females to w1118/Y males reflects the distortion in sex chromosome transmission of the mir-977+ or mir-977− chromosome. Twenty replicate crosses were set up for each genotype (Raw data are shown in Additional file 3).
Viability assays followed the protocol described in Chen et al. , we crossed balanced mir-977 KO or control females (FM7c/M) to hemizygous mutant or control males (M/Y). The number of M/Y in F1 male progeny in these crosses reflects male viability of control or mir-977 KO males compared to balancer males. As a confirmatory experiment, survival of M/M females reflects female viability of control or mir-977 KO females compared to balancer females. We counted 350 to 500 offspring of each sex and genotype in this assay.
To survey mating success (male ability to successfully mate and to repress female re-mating), each w1118 female was mated to either a control or a mir-977 KO male (Stage I); after 2.5 days, these mated females were presented with reference males for a second mating (Stage II). Both control and mir-977 KO males were white-eyed but reference males were red-eyed. Mating rates at stages I and II can then be inferred from the eye color of F1 progeny of each mating. F0 females with white-eyed progeny suggest successful fertilization at stage I; F0 females with both white-eyed and red-eyed progeny suggest successful fertilization at stage II. Stage I and II mating rates reflect male mating ability and female receptivity. Forty replicate crosses were set up for each genotype.
- D. mel :
- D. pse :
- D. sim :
- D. vir :
- D.ere :
- mir-977 − :
mir-977 knockout line
- mir-977 + :
control, the wildtype strain
Non-homologous end joining
Reads Per Million
- Small RNA-seq:
microRNA high-throughput sequencing
Transcription activator-like effector nuclease technology
Ohno S. Evolution by gene duplication. Berlin Heidelberg: Springer; 1970.
Li WH. Evolutionary change of duplicate genes. Isozymes Curr Top Biol Med Res. 1982;6:55–92.
Lynch M, Conery JS. The origins of genome complexity. Science. 2003;302(5649):1401–4.
Zhang J. Evolution by gene duplication: an update. Trends Ecol Evol. 2013;18(6):292–8.
Xu S, He Z, Zhang Z, Guo Z, Guo W, Lyu H, Li J, Yang M, Du Z, Huang Y, et al. The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing. National Sci Rev. 2017;4:721–34. https://doi.org/10.1093/nsr/nwx065
Tautz D, Domazetlošo T. The evolutionary origin of orphan genes. Nat Rev Genet. 2011;12(10):692–702.
Zhao L, Saelao P, Jones CD, Begun DJ. Origin and spread of de novo genes in Drosophila melanogaster populations. Science. 2014;343(6172):769–72.
Schlötterer C. Genes from scratch – the evolutionary fate of de novo genes. Trends Genet. 2015;31(4):215–9.
Heinen TJAJ, Staubach F, Häming D, Tautz D. Emergence of a new gene from an intergenic region. Curr Biol. 2009;19(18):1527–31.
Mohammed J, Bortolamiolbecet D, Flynt AS, Gronau I, Siepel A, Lai EC. Adaptive evolution of testis-specific, recently evolved, clustered miRNAs in Drosophila. RNA. 2014;20(8):1195–209.
Lyu Y, Shen Y, Li H, Chen Y, Guo L, Zhao Y, Hungate E, Shi S, Wu CI, Tang T. New MicroRNAs in Drosophila—birth, death and cycles of adaptive evolution. PLoS Genet. 2014;10(1):e1004096.
Meunier J, Lemoine F, Soumillon M, Liechti A, Weier M, Guschanski K, Hu H, Khaitovich P, Kaessmann H. Birth and expression evolution of mammalian microRNA genes. Genome Res. 2013;23(1):34–45.
Mohammed J, Flynt AS, Panzarino AM, Mondal M, Decruz M, Siepel A, Lai EC. Deep experimental profiling of microRNA diversity, deployment, and evolution across the Drosophila genus. Genome Res. 2018;28(1):52–65.
Moran Y, Agron M, Praher D, Technau U. The evolutionary origin of plant and animal microRNAs. Nat Ecol Evol. 2017;1(3):27.
Wen K, Yang L, Xiong T, Di C, Ma D, Wu M, Xue Z, Zhang X, Long L, Zhang W. Critical roles of long noncoding RNAs in Drosophila spermatogenesis. Genome Res. 2016;9:1233–44.
Xie C, Zhang YE, Chen JY, Liu CJ, Zhou WZ, Li Y, Zhang M, Zhang R, Wei L, Li CY. Hominoid-specific De novo protein-coding genes originating from long non-coding RNAs. PLoS Genet. 2012;8(9):e1002942.
Krylov DM. Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolution. Genome Res. 2003;13(10):2229–35.
Petrov DA, Lozovskaya ER, Hartl DL. High intrinsic rate of DNA loss in Drosophila. Nature. 1996;384(6607):346–9.
Petrov DA, Hartl DL. High rate of DNA loss in the Drosophila melanogaster and Drosophila virilis species groups. Mol Biol Evol. 1998;15(3):293–302.
Mclysaght A, Hurst LD. Open questions in the study of de novo genes: what, how and why. Nat Rev Genet. 2016;17(9):567.
Greenberg AJ, Moran JR, Fang S, Wu C. Adaptive loss of an old duplicated gene during incipient speciation. Mol Biol Evol. 2006;23(2):401–10.
Fang S, Ting CT, Lee CR, Chu KH, Wang CC, Tsaur SC. Molecular evolution and functional diversification of fatty acid desaturases after recurrent gene duplication in Drosophila. Mol Biol Evol. 2009;26(7):1447–56.
Wyder S, Kriventseva EV, Schröder R, Kadowaki T, Zdobnov EM. Quantification of ortholog losses in insects and vertebrates. Genome Biol. 2007;8(11):R242.
Palmieri N, Kosiol C, Schlotterer C. The life cycle of Drosophila orphan genes. elife. 2014;3:e01311.
Neme R, Tautz D. Fast turnover of genome transcription across evolutionary time exposes entire non-coding DNA to de novo gene emergence. elife. 2016;5:e09977.
Hahn MW, Al E. Gene family evolution across 12 Drosophila genomes. PLoS Genet. 2007;3(11):e197.
Chen YW, Song S, Weng R, Verma P, Kugler JM, Buescher M, Rouam S, Cohen S. Systematic study of Drosophila MicroRNA functions using a collection of targeted knockout mutations. Dev Cell. 2014;31(6):784–800.
Boch J. TALEs of genome targeting. Nat Biotechnol. 2011;29(2):135–6.
Wu CI. Virility deficiency and the sex-ratio trait in DROSOPHILA PSEUDOOBSCURA. I. Sperm displacement and sexual selection. Genetics. 1983;105(3):651–62.
Wu CI. Virility deficiency and the sex-ratio trait in DROSOPHILA PSEUDOOBSCURA. II. Multiple mating and overall virility selection. Genetics. 1983;105(3):663–79.
Jaenike J. Sex chromosome meiotic drive. Annu Rev Ecol Evol Syst. 2001;32(1):25–49.
Manning A. A sperm factor affecting the receptivity of Drosophila Melanogaster females. Nature. 1962;194(4825):252–3.
Chapman T, Bangham J, Vinti G, Seifried B, Lung O, Wolfner MF, Smith HK, Partridge L. The sex peptide of Drosophila melanogaster: female post-mating responses analyzed by using RNA interference. Proc Natl Acad Sci U S A. 2003;100(17):9923.
Ram KR, Wolfner MF. Sustained post-mating response in Drosophila melanogaster requires multiple seminal fluid proteins. PLoS Genet. 2007;3(12):e238.
Fry JD, Heinsohn SL. Environment dependence of mutational parameters for viability in Drosophila melanogaster. Genetics. 2002;161(3):1155–67.
Wang H-Y CY, Tong D, Ling S, Hu Z, Tao Y, Lu X, Wu C-I. Is the evolution in tumors Darwinian or non-Darwinian? National Sci Rev. 2018;5(1):15–7.
Pool JE, Corbettdetig RB, Sugino RP, Stevens K, Cardeno C, Crepeau MW, Duchen P, Emerson JJ, Saelao P, Begun DJ. Population genomics of sub-Saharan Drosophila melanogaster: African diversity and non-African admixture. PLoS Genet. 2012;8(12):e1003080.
Chen C, Ridzon D, Broomer A, Zhou Z, Lee DH, Nguyen JT, Barbisin M, Xu NL, Mahuvakar VR, Andersen MR. Real-time quantification of microRNAs by stem–loop RT–PCR. Nucleic Acids Res. 2005;33(20):e179.
Varkonyigasic E, Wu R, Wood M, Walton EF, Hellens RP. Protocol: a highly sensitive RT-PCR method for detection and quantification of microRNAs. Plant Methods. 2007;3(1):12.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.
Kozomara A, Griffiths-Jones S. miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 2014;42(Database issue):D68.
Gruber AR, Lorenz R, Bernhart SH, Neuböck R, Hofacker IL. The Vienna RNA websuite. Nucleic Acids Res. 2008;36(Web Server issue):W70–4.
Mohammed J, Flynt AS, Siepel A, Lai EC. The impact of age, biogenesis, and genomic clustering on Drosophila microRNA evolution. RNA. 2013;19(9):1295–308.
Friedländer MR, Mackowiak SD, Li N, Chen W, Rajewsky N. miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res. 2012;40(1):37–52.
We thank all members in Wu lab for helpful comments and ideas sharing. We thank TianTang, Sun Yat-sen University, Suhua Shi, Sun Yat-sen University, and Anthony Greenberg, Bayesic Research, for comments on previous versions of the manuscript.
This work is supported by the National Science Foundation of China (31730046) to C.I. W, the 985 Project (33000–18821105) to C.I.W, the National Basic Research Program (973 Program) of China (2014CB542006) to C.I.W.
Availability of data and materials
All data generated or analysed during this study are included in this published article [and its supplementary information files].
Ethics approval and consent to participate
Not applicable for Drosophila melanogaster work.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure S1. Independent deletion confirms male fertility increase due to mir-977 deletion. Figure S2. Lifecycle of new gene. Table S1. mir-977 expression in Drosophila species. Table S2. Expression variation of mir-977 in testes across 5 lines of D. melanogaster. Table S3. Male fertility of mir-977 KO. Table S4. Stimulating ovulation and sperm quality of mir-977 KO. Table S5. Meiotic drive of mir-977 KO. Table S6. Viability of mir-977 KO. Table S7. Mating success of mir-977 KO. Table S8. Primers used in this study. Table S9. TALEN pairs design for mir-977. (PPTX 277 kb)
Supplementary Text 1.The choice of genetic background. Supplementary Text 2. Discussion about the off-target effect. Supplementary Text 3. Possible mechanism of mir-977’s phenotypic effect. (PDF 414 kb)
About this article
Cite this article
Lu, G., Zhao, Y., Liufu, Z. et al. On the possibility of death of new genes – evidence from the deletion of de novo microRNAs. BMC Genomics 19, 388 (2018). https://doi.org/10.1186/s12864-018-4755-1
- de novo gene
- New gene
- Gene death