Abstract
Estimation of adaptive evolution rates at the molecular level is important in evolutionary genomics. However, knowledge of adaptive evolutionary patterns in Mollusca is very scarce, especially for oysters. Such information would help clarify how oysters adapt to pathogen-rich and dynamically changing intertidal environments. In this study, we characterized the patterns of adaptive evolution in the Crassostrea gigas genome, using population diversity analysis and congeneric comparison. Our analysis revealed that gene expression patterns were positively associated with adaptive evolution rates, which suggested that positive selection played an important role in gene evolution. The genes with more exons and alternative splicing events had higher adaptive evolution rates. The rates of adaptive evolution in immune-related and stress-response genes were higher than those in other genes, suggesting that these groups of genes experienced strong positive selection. This study represents the first analysis of adaptive evolution rates in oysters and the first comprehensive study of a Mollusca species. These results provide a system-level investigation of association between adaptive evolution rates with some intrinsic genetic factors. They also suggest that adaptation to pathogens and environmental stressors are important forces driving the adaptive evolution of genes.
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References
Bachtrog D, Andolfatto P (2006) Selection, recombination and demographic history in Drosophila miranda. Genetics 174:2045–2059
Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA (2012) SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477
Begun DJ, Holloway AK, Stevens K, Hillier LW, Poh YP, Hahn MW, Nista PM, Jones CD, Kern AD, Dewey CN, Pachter L, Myers E, Langley CH (2007) Population genomics: whole-genome analysis of polymorphism and divergence in Drosophila simulans. PLoS Biol 5:2534–2559
Boyko AR, Williamson SH, Indap AR, Degenhardt JD, Hernandez RD, Lohmueller KE, Adams MD, Schmidt S, Sninsky JJ, Sunyaev SR (2008) Assessing the evolutionary impact of amino acid mutations in the human genome. PLoS Genet 4:e1000083
Carneiro M, Albert FW, Melo-Ferreira J, Galtier N, Gayral P, Blanco-Aguiar JA, Villafuerte R, Nachman MW, Ferrand N (2012) Evidence for widespread positive and purifying selection across the European rabbit (Oryctolagus cuniculus) genome. Mol Biol Evol 29:1837–1849
Charlesworth J, Eyre-Walker A (2006) The rate of adaptive evolution in enteric bacteria. Mol Biol Evol 23:1348–1356
Cutter AD, Payseur BA (2003) Selection at linked sites in the partial selfer Caenorhabditis elegans. Mol Biol Evol 20:665–673
Derose-Wilson LJ, Gaut BS (2007) Transcription-related mutations and GC content drive variation in nucleotide substitution rates across the genomes of Arabidopsis thaliana and Arabidopsis lyrata. BMC Evol Biol 7:7
Eyre-Walker A, Keightley PD (2009) Estimating the rate of adaptive molecular evolution in the presence of slightly deleterious mutations and population size change. Mol Biol Evol 26:2097–2108
Eyre-Walker A, Woolfit M, Phelps T (2006) The distribution of fitness effects of new deleterious amino acid mutations in humans. Genetics 173:891–900
Fay JC, Wyckoff GJ, Wu CI (2001) Positive and negative selection on the human genome. Genetics 158:1227–1234
Galtier N (2016) Adaptive protein evolution in animals and the effective population size hypothesis. PLoS Genet 12:e1005774
Gossmann TI, Song B-H, Windsor AJ, Mitchell-Olds T, Dixon CJ, Kapralov MV, Filatov DA, Eyre-Walker A (2010) Genome wide analyses reveal little evidence for adaptive evolution in many plant species. Mol Biol Evol 27:1822–1832
Guéguen L, Gaillard S, Boussau B, Gouy M, Groussin M, Rochette NC, Bigot T, Fournier D, Pouyet F, Cahais V (2013) Bio++: efficient extensible libraries and tools for computational molecular evolution. Mol Biol Evol 30:1745–1750
Guo X, Li C, Wang H, Xu Z (2018) Diversity and evolution of living oysters. J Shellfish Res 37:755–772
Haerty W, Jagadeeshan S, Kulathinal RJ, Wong A, Ram KR, Sirot LK, Levesque L, Artieri CG, Wolfner MF, Civetta A (2007) Evolution in the fast lane: rapidly evolving sex-related genes in Drosophila. Genetics 177:1321–1335
Halligan DL, Keightley PD (2006) Ubiquitous selective constraints in the Drosophila genome revealed by a genome-wide interspecies comparison. Genome research 16:875–884
Halligan DL, Oliver F, Eyre-Walker A, Harr B, Keightley PD (2010) Evidence for pervasive adaptive protein evolution in wild mice. PLoS Genet 6:e1000825
Huang B, Zhang L, Tang X, Zhang G, Li L (2016) Genome-wide analysis of alternative splicing provides insights into stress adaptation of the Pacific oyster. Mar Biotechnol 18:1–12
Hvilsom C, Qian Y, Bataillon T, Li Y, Mailund T, Sallé B, Carlsen F, Li R, Zheng H, Jiang T (2012) Extensive X-linked adaptive evolution in central chimpanzees. Proc Natl Acad Sci 109:2054–2059
Kousathanas A, Halligan DL, Keightley PD (2014) Faster-X adaptive protein evolution in house mice. Genetics 196:1131–1143
Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25:1754–1760
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, Proc GPD (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25:2078–2079
Li YL, Sun XQ, Hu XL, Xun XG, Zhang JB, Guo XM, Jiao WQ, Zhang LL, Liu WZ, Wang J, Li J, Sun Y, Miao Y, Zhang XK, Cheng TR, Xu GL, Fu XT, Wang YF, Yu XR, Huang XT, Lu W, Lv J, Mu C, Wang DW, Li X, Xia Y, Li YJ, Yang ZH, Wang FL, Zhang L, Xing Q, Dou HQ, Ning XH, Dou JZ, Li YP, Kong DX, Liu YR, Jiang Z, Li RQ, Wang S, Bao ZM (2017) Scallop genome reveals molecular adaptations to semi-sessile life and neurotoxins. Nat Commun 8:1721
Li C, Wang J, Song K, Meng J, Xu F, Li L, Zhang G (2018) Construction of a high-density genetic map and fine QTL mapping for growth and nutritional traits of Crassostrea gigas. BMC Genomics 19:626
Liti G, Carter DM, Moses AM, Warringer J, Parts L, James SA, Davey RP, Roberts IN, Burt A, Koufopanou V (2009) Population genomics of domestic and wild yeasts. Nature 458:337–341
Loire E, Chiari Y, Bernard A, Cahais V, Romiguier J, Nabholz B, Lourenço JM, Galtier N (2013) Population genomics of the endangered giant Galápagos tortoise. Genome Biol 14:R136
Mcdonald JH, Kreitman M (1991) Adaptive protein evolution at the Adh locus in Drosophila. Nature 351:652–654
Nam B-H, Kwak W, Kim Y-O, Kim D-G, Kong HJ, Kim W-J, Kang J-H, Park JY, An CM, Moon J-Y (2017) Genome sequence of pacific abalone (Haliotis discus hannai): the first draft genome in family Haliotidae. Gigascience 6:1–8
Obbard DJ, Welch JJ, Kim K-W, Jiggins FM (2009) Quantifying adaptive evolution in the Drosophila immune system. PLoS Genet 5:e1000698
Patel RK, Jain M (2012) NGS QC toolkit: a toolkit for quality control of next generation sequencing data. PLoS One 7:e30619
Rice P, Longden I, Bleasby A (2000) EMBOSS: the European molecular biology open software suite. Trends Genet 16:276–277
Sackton TB, Lazzaro BP, Schlenke TA, Evans JD, Dan H, Clark AG (2007) Dynamic evolution of the innate immune system in Drosophila. Nat Genet 39:1461–1468
Schlenke TA, Begun DJ (2003) Natural selection drives Drosophila immune system evolution. Genetics 164:1471–1480
Simakov O, Marletaz F, Cho S-J, Edsinger-Gonzales E, Havlak P, Hellsten U, Kuo D-H, Larsson T, Lv J, Arendt D (2013) Insights into bilaterian evolution from three spiralian genomes. Nature 493:526–531
Smith NG, Eyre-Walker A (2002) Adaptive protein evolution in Drosophila. Nature 415:1022–1024
Song K, Li YX, Huang BY, Li L, Zhang GF (2017) Genetic and evolutionary patterns of innate immune genes in the Pacific oyster Crassostrea gigas. Dev Comp Immunol 77:17–22
Song K, Li L, Zhang G (2018) Relationship among intron length, gene expression, and nucleotide diversity in the Pacific oyster Crassostrea gigas. Mar Biotechnol 20:676–684
Sun J, Zhang Y, Xu T, Zhang Y, Mu H, Zhang Y, Lan Y, Fields CJ, Hui JHL, Zhang W (2017) Adaptation to deep-sea chemosynthetic environments as revealed by mussel genomes. Nat Ecol Evol 1:0121
Tsagkogeorga G, Cahais V, Galtier N (2012) The population genomics of a fast evolver: high levels of diversity, functional constraint, and molecular adaptation in the tunicate Ciona intestinalis. Genome Biol Evol 4:852–861
Veeramah KR, Gutenkunst RN, Woerner AE, Watkins JC, Hammer MF (2014) Evidence for increased levels of positive and negative selection on the X chromosome versus autosomes in humans. Mol Biol Evol 31:2267–2282
Vincent R, Sébastien H, Frédéric D, Douzery EJP (2011) MACSE: multiple alignment of coding SEquences accounting for frameshifts and stop codons. PLoS One 6:e22594
Wang L, Feng Z, Wang X, Wang X, Zhang X (2010) DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics 26:136–138
Wang S, Zhang J, Jiao W, Li J, Xun X, Sun Y, Guo X, Huan P, Dong B, Zhang L (2017a) Scallop genome provides insights into evolution of bilaterian karyotype and development. Nat Ecol Evol 1:0120
Wang X, Wang M, Jia Z, Qiu L, Wang L, Zhang A, Song L (2017b) A carbonic anhydrase serves as an important acid-base regulator in pacific oyster Crassostrea gigas exposed to elevated CO 2: implication for physiological responses of mollusk to ocean acidification. Mar Biotechnol 19:22–35
Wei L, Xu F, Wang Y, Cai Z, Yu W, He C, Jiang Q, Xu X, Guo W, Wang X (2018) The molecular differentiation of anatomically paired left and right mantles of the Pacific oyster Crassostrea gigas. Mar Biotechnol 20:425–435
Xu B, Yang Z (2013) PAMLX: a graphical user interface for PAML. Mol Biol Evol 30:2723–2724
Xu L, Li Q, Yu H, Kong L (2017) Estimates of heritability for growth and shell color traits and their genetic correlations in the black shell strain of pacific oyster Crassostrea gigas. Mar Biotechnol 19:421–429
Yue C, Li Q, Yu H (2018) Gonad transcriptome analysis of the Pacific oyster Crassostrea gigas identifies potential genes regulating the sex determination and differentiation process. Mar Biotechnol 20:206–219
Zhang GF, Fang XD, Guo XM, Li L, Luo RB, Xu F, Yang PC, Zhang LL, Wang XT, Qi HG, Xiong ZQ, Que HY, Xie YL, Holland PWH, Paps J, Zhu YB, Wu FC, Chen YX, Wang JF, Peng CF, Meng J, Yang L, Liu J, Wen B, Zhang N, Huang ZY, Zhu QH, Feng Y, Mount A, Hedgecock D, Xu Z, Liu YJ, Domazet-Loso T, Du YS, Sun XQ, Zhang SD, Liu BH, Cheng PZ, Jiang XT, Li J, Fan DD, Wang W, Fu WJ, Wang T, Wang B, Zhang JB, Peng ZY, Li YX, Li N, Wang JP, Chen MS, He Y, Tan FJ, Song XR, Zheng QM, Huang RL, Yang HL, Du XD, Chen L, Yang M, Gaffney PM, Wang S, Luo LH, She ZC, Ming Y, Huang W, Zhang S, Huang BY, Zhang Y, Qu T, Ni PX, Miao GY, Wang JY, Wang Q, Steinberg CEW, Wang HY, Li N, Qian LM, Zhang GJ, Li YR, Yang HM, Liu X, Wang J, Yin Y, Wang J (2012) The oyster genome reveals stress adaptation and complexity of shell formation. Nature 490:49–54
Zhang N, Xu F, Guo X (2014) Genomic analysis of the Pacific oyster (Crassostrea gigas) reveals possible conservation of vertebrate sex determination in a mollusc. G3 (Bethesda) 4:2207–2217
Zhang L, Li L, Guo X, Litman GW, Dishaw LJ, Zhang G (2015a) Massive expansion and functional divergence of innate immune genes in a protostome. Sci Rep 5:8693
Zhang Y, Sun J, Mu HW, Li J, Zhang YH, Xu FJ, Xiang ZM, Qian PY, Qiu JW, Yu ZN (2015b) Proteomic basis of stress responses in the gills of the Pacific oyster Crassostrea gigas. J Proteome Res 14:304–317
Zhao X, Yu H, Kong L, Liu S, Li Q (2015) Comparative transcriptome analysis of two oysters, Crassostrea gigas and Crassostrea hongkongensis provides insights into adaptation to hypo-osmotic conditions. Plos One 9:e111915
Zhao X, Yu H, Kong L, Li Q (2016) Gene co-expression network analysis reveals the correlation patterns among genes in euryhaline adaptation of Crassostrea gigas. Mar Biotechnol 18:535–544
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This research was supported by the National Natural Science Foundation of China (11701546, 31530079).
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Song, K., Wen, S. & Zhang, G. Adaptive Evolution Patterns in the Pacific Oyster Crassostrea gigas. Mar Biotechnol 21, 614–622 (2019). https://doi.org/10.1007/s10126-019-09906-w
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DOI: https://doi.org/10.1007/s10126-019-09906-w