Evolutionary genomics of grape (Vitis vinifera ssp. vinifera) domestication
Edited by Andrew G. Clark, Cornell University, Ithaca, NY, and approved September 25, 2017 (received for review June 5, 2017)
Significance
We generated genomic data to estimate the population history of grapes, the most economically important horticultural crop in the world. Domesticated grapes experienced a protracted, 22,000-y population decline prior to domestication; we hypothesize that this decline reflects low-intensity cultivation by humans prior to domestication. Domestication altered the mating system of grapes. The sex determination region is detectable as a region of heightened genetic divergence between wild and cultivated accessions. Based on gene expression analyses, we propose candidate genes that alter sex determination. Finally, grapes contain more deleterious mutations in heterozygous states than do their wild ancestors. The accumulation of deleterious mutations is due in part to clonal propagation, which shelters deleterious recessive mutations.
Abstract
We gathered genomic data from grapes (Vitis vinifera ssp. vinifera), a clonally propagated perennial crop, to address three ongoing mysteries about plant domestication. The first is the duration of domestication; archaeological evidence suggests that domestication occurs over millennia, but genetic evidence indicates that it can occur rapidly. We estimated that our wild and cultivated grape samples diverged ∼22,000 years ago and that the cultivated lineage experienced a steady decline in population size (Ne) thereafter. The long decline may reflect low-intensity management by humans before domestication. The second mystery is the identification of genes that contribute to domestication phenotypes. In cultivated grapes, we identified candidate-selected genes that function in sugar metabolism, flower development, and stress responses. In contrast, candidate-selected genes in the wild sample were limited to abiotic and biotic stress responses. A genomic region of high divergence corresponded to the sex determination region and included a candidate male sterility factor and additional genes with sex-specific expression. The third mystery concerns the cost of domestication. Annual crops accumulate putatively deleterious variants, in part due to strong domestication bottlenecks. The domestication of perennial crops differs from that of annuals in several ways, including the intensity of bottlenecks, and it is not yet clear if they accumulate deleterious variants. We found that grape accessions contained 5.2% more deleterious variants than wild individuals, and these were more often in a heterozygous state. Using forward simulations, we confirm that clonal propagation leads to the accumulation of recessive deleterious mutations but without decreasing fitness.
Data Availability
Data deposition: The sequence reported in this paper has been deposited in the National Center for Biotechnology Information Sequence Read Archive (NCBI SRA) database (accession no. PRJNA388292).
Acknowledgments
We thank R. Gaut and R. Figueroa-Balderas for generating the data and sampling; two anonymous reviewers, D. Seymour, Q. Liu, K. Roessler, and E. Solares provided comments. Y.Z. is supported by the International Postdoctoral Exchange Fellowship Program, J.S. is supported by the National Science Foundation Graduate Research Fellowships Program, and B.S.G. is supported by the Borchard Foundation. D.C. is supported by J. Lohr Vineyards and Wines, E. & J. Gallo Winery, and the Louis P. Martini Endowment.
Supporting Information
Appendix (PDF)
- Download
- 2.30 MB
References
1
A Eyre-Walker, RL Gaut, H Hilton, DL Feldman, BS Gaut, Investigation of the bottleneck leading to the domestication of maize. Proc Natl Acad Sci USA 95, 4441–4446 (1998).
2
MI Tenaillon, J U’Ren, O Tenaillon, BS Gaut, Selection versus demography: A multilocus investigation of the domestication process in maize. Mol Biol Evol 21, 1214–1225 (2004).
3
SI Wright, et al., The effects of artificial selection on the maize genome. Science 308, 1310–1314 (2005).
4
MB Hufford, et al., Comparative population genomics of maize domestication and improvement. Nat Genet 44, 808–811 (2012).
5
RS Meyer, MD Purugganan, Evolution of crop species: Genetics of domestication and diversification. Nat Rev Genet 14, 840–852 (2013).
6
MD Purugganan, DQ Fuller, The nature of selection during plant domestication. Nature 457, 843–848 (2009).
7
MD Purugganan, DQ Fuller, Archaeological data reveal slow rates of evolution during plant domestication. Evolution 65, 171–183 (2011).
8
DQ Fuller, et al., Convergent evolution and parallelism in plant domestication revealed by an expanding archaeological record. Proc Natl Acad Sci USA 111, 6147–6152 (2014).
9
BS Gaut, Evolution is an experiment: Assessing parallelism in crop domestication and experimental evolution: (Nei Lecture, SMBE 2014, Puerto Rico). Mol Biol Evol 32, 1661–1671 (2015).
10
LB Zhang, et al., Selection on grain shattering genes and rates of rice domestication. New Phytol 184, 708–720 (2009).
11
RS Meyer, et al., Domestication history and geographical adaptation inferred from a SNP map of African rice. Nat Genet 48, 1083–1088 (2016).
12
J Lu, et al., The accumulation of deleterious mutations in rice genomes: A hypothesis on the cost of domestication. Trends Genet 22, 126–131 (2006).
13
D Charlesworth, JH Willis, The genetics of inbreeding depression. Nat Rev Genet 10, 783–796 (2009).
14
KE Lohmueller, The distribution of deleterious genetic variation in human populations. Curr Opin Genet Dev 29, 139–146 (2014).
15
BM Henn, LR Botigué, CD Bustamante, AG Clark, S Gravel, Estimating the mutation load in human genomes. Nat Rev Genet 16, 333–343 (2015).
16
PL Morrell, ES Buckler, J Ross-Ibarra, Crop genomics: Advances and applications. Nat Rev Genet 13, 85–96 (2011).
17
Q Liu, Y Zhou, PL Morrell, BS Gaut, Deleterious variants in Asian rice and the potential cost of domestication. Mol Biol Evol 34, 908–924 (2017).
18
TJ Kono, et al., The role of deleterious substitutions in crop genomes. Mol Biol Evol 33, 2307–2317 (2016).
19
S Renaut, LH Rieseberg, The accumulation of deleterious mutations as a consequence of domestication and improvement in sunflowers and other compositae crops. Mol Biol Evol 32, 2273–2283 (2015).
20
P Ramu, et al., Cassava haplotype map highlights fixation of deleterious mutations during clonal propagation. Nat Genet 49, 959–963 (2017).
21
BS Gaut, CM Díez, PL Morrell, Genomics and the contrasting dynamics of annual and perennial domestication. Trends Genet 31, 709–719 (2015).
22
AJ Miller, BL Gross, From forest to field: Perennial fruit crop domestication. Am J Bot 98, 1389–1414 (2011).
23
S Myles, et al., Genetic structure and domestication history of the grape. Proc Natl Acad Sci USA 108, 3530–3535 (2011).
24
PE McGovern, SJ Fleming, SH Katz The Origins and Ancient History of Wine: Food and Nutrition in History and Anthropology (Routledge, Amsterdam, 2003).
25
P This, T Lacombe, M Cadle-Davidson, CL Owens, Wine grape (Vitis vinifera L.) color associates with allelic variation in the domestication gene VvmybA1. Theor Appl Genet 114, 723–730 (2007).
26
I Fechter, et al., Candidate genes within a 143 kb region of the flower sex locus in Vitis. Mol Genet Genomics 287, 247–259 (2012).
27
S Picq, et al., A small XY chromosomal region explains sex determination in wild dioecious V. vinifera and the reversal to hermaphroditism in domesticated grapevines. BMC Plant Biol 14, 229 (2014).
28
J Bowers, et al., Historical genetics: The parentage of Chardonnay, Gamay, and other wine grapes of Northeastern France. Science 285, 1562–1565 (1999).
29
Y Xu, et al., Genome-wide detection of SNP and SV variations to reveal early ripening-related genes in grape. PLoS One 11, e0147749 (2016).
30
MF Cardone, et al., Inter-varietal structural variation in grapevine genomes. Plant J 88, 648–661 (2016).
31
A Di Genova, et al., Whole genome comparison between table and wine grapes reveals a comprehensive catalog of structural variants. BMC Plant Biol 14, 7 (2014).
32
O Jaillon, et al., The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature; French-Italian Public Consortium for Grapevine Genome Characterization 449, 463–467 (2007).
33
TS Korneliussen, A Albrechtsen, R Nielsen, ANGSD: Analysis of next generation sequencing data. BMC Bioinformatics 15, 356 (2014).
34
S Schiffels, R Durbin, Inferring human population size and separation history from multiple genome sequences. Nat Genet 46, 919–925 (2014).
35
MA Koch, B Haubold, T Mitchell-Olds, Comparative evolutionary analysis of chalcone synthase and alcohol dehydrogenase loci in Arabidopsis, Arabis, and related genera (Brassicaceae). Mol Biol Evol 17, 1483–1498 (2000).
36
J Terhorst, JA Kamm, YS Song, Robust and scalable inference of population history from hundreds of unphased whole genomes. Nat Genet 49, 303–309 (2017).
37
P Pavlidis, D Živkovic, A Stamatakis, N Alachiotis, SweeD: Likelihood-based detection of selective sweeps in thousands of genomes. Mol Biol Evol 30, 2224–2234 (2013).
38
H Chen, N Patterson, D Reich, Population differentiation as a test for selective sweeps. Genome Res 20, 393–402 (2010).
39
J Chong, et al., The SWEET family of sugar transporters in grapevine: VvSWEET4 is involved in the interaction with Botrytis cinerea. J Exp Bot 65, 6589–6601 (2014).
40
J Bogs, et al., Proanthocyanidin synthesis and expression of genes encoding leucoanthocyanidin reductase and anthocyanidin reductase in developing grape berries and grapevine leaves. Plant Physiol 139, 652–663 (2005).
41
S Savoi, et al., Transcriptome and metabolite profiling reveals that prolonged drought modulates the phenylpropanoid and terpenoid pathway in white grapes (Vitis vinifera L.). BMC Plant Biol 16, 67 (2016).
42
B Blanco-Ulate, et al., Developmental and metabolic plasticity of white-skinned grape berries in response to Botrytis cinerea during noble rot. Plant Physiol 169, 2422–2443 (2015).
43
J Chong, A Poutaraud, P Huegeney, Metabolism and roles of stilbenes in plants. Plant Sci 3, 143–155 (2009).
44
KE Hyma, et al., Heterozygous mapping strategy (HetMappS) for high resolution genotyping-by-sequencing markers: A case study in grapevine. PLoS One 10, e0134880 (2015).
45
JL Coito, et al., VviAPRT3 and VviFSEX: Two genes involved in sex specification able to distinguish different flower types in Vitis. Front Plant Sci 8, 98 (2017).
46
CD Marsden, et al., Bottlenecks and selective sweeps during domestication have increased deleterious genetic variation in dogs. Proc Natl Acad Sci USA 113, 152–157 (2016).
47
PC Ng, S Henikoff, SIFT: Predicting amino acid changes that affect protein function. Nucleic Acids Res 31, 3812–3814 (2003).
48
Y Choi, GE Sims, S Murphy, JR Miller, AP Chan, Predicting the functional effect of amino acid substitutions and indels. PLoS One 7, e46688 (2012).
49
YB Simons, MC Turchin, JK Pritchard, G Sella, The deleterious mutation load is insensitive to recent population history. Nat Genet 46, 220–224 (2014).
50
M Kirkpatrick, P Jarne, The effects of a bottleneck on inbreeding depression and the genetic load. Am Nat 155, 154–167 (2000).
51
D Zohary, P Spiegel-Roy, Beginnings of fruit growing in the old world. Science 187, 319–327 (1975).
52
PE McGovern, DL Glusker, LJ Exner, MM Voigt, Neolithic resinated wine. Nature 381, 480–481 (1996).
53
H Olmo Evolution of Crop Plants: Grapes (Longman, New York, 1995).
54
A Barnaud, V Laucou, P This, T Lacombe, A Doligez, Linkage disequilibrium in wild French grapevine, Vitis vinifera L. subsp. silvestris. Heredity (Edinb) 104, 431–437 (2010).
55
F Grassi, et al., Evidence of a secondary grapevine domestication centre detected by SSR analysis. Theor Appl Genet 107, 1315–1320 (2003).
56
HM Lam, et al., Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nat Genet 42, 1053–1059 (2010).
57
T Lin, et al., Genomic analyses provide insights into the history of tomato breeding. Nat Genet 46, 1220–1226 (2014).
58
TM Beissinger, et al., Recent demography drives changes in linked selection across the maize genome. Nat Plants 2, 16084 (2016).
59
Q Zhu, X Zheng, J Luo, BS Gaut, S Ge, Multilocus analysis of nucleotide variation of Oryza sativa and its wild relatives: Severe bottleneck during domestication of rice. Mol Biol Evol 24, 875–888 (2007).
60
PU Clark, et al., The last glacial maximum. Science 325, 710–714 (2009).
61
R Nielsen, MA Beaumont, Statistical inferences in phylogeography. Mol Ecol 18, 1034–1047 (2009).
62
DS Adler, N Tushabramishvili, Middle Palaeolithic patterns of settlement and subsistence in the southern Caucasus. Middle Palaeolithic Settlement Dynamics, pp. 91–132 (2004).
63
P Roberts, C Hunt, M Arroyo-Kalin, D Evans, N Boivin, The deep human prehistory of global tropical forests and its relevance for modern conservation. Nat Plants 3, 17093 (2017).
64
D Velasco, J Hough, M Aradhya, J Ross-Ibarra, Evolutionary genomics of peach and almond domestication. G3 (Bethesda) 6, 3985–3993 (2016).
65
D Zohary, M Hopf Domestication of Plants in the Old World (Oxford Univ Press, Oxford, 2000).
66
P This, T Lacombe, MR Thomas, Historical origins and genetic diversity of wine grapes. Trends Genet 22, 511–519 (2006).
67
D Charlesworth, B Charlesworth, G Marais, Steps in the evolution of heteromorphic sex chromosomes. Heredity (Edinb) 95, 118–128 (2005).
68
D Charlesworth, Plant sex chromosome evolution. J Exp Bot 64, 405–420 (2013).
69
MJ Ramos, et al., Deep analysis of wild Vitis flower transcriptome reveals unexplored genome regions associated with sex specification. Plant Mol Biol 93, 151–170 (2017).
70
C Kole Genetics, Genomics, and Breeding of Grapes (Science Publishers, Enfield, NH), pp. 160–185 (2011).
71
L Skotte, TS Korneliussen, A Albrechtsen, Estimating individual admixture proportions from next generation sequencing data. Genetics 195, 693–702 (2013).
72
P Kumar, S Henikoff, PC Ng, Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc 4, 1073–1081 (2009).
73
BM Henn, et al., Distance from sub-Saharan Africa predicts mutational load in diverse human genomes. Proc Natl Acad Sci USA 113, E440–E449 (2016).
74
H Li, R Durbin, Inference of human population history from individual whole-genome sequences. Nature 475, 493–496 (2011).
75
MA DePristo, et al., A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43, 491–498 (2011).
76
O Delaneau, JF Zagury, J Marchini, Improved whole-chromosome phasing for disease and population genetic studies. Nat Methods 10, 5–6 (2013).
77
J Grimplet, et al., VitisNet: “Omics” integration through grapevine molecular networks. PLoS One 4, e8365 (2009).
78
B Langmead, SL Salzberg, Fast gapped-read alignment with Bowtie 2. Nat Methods 9, 357–359 (2012).
79
MI Love, W Huber, S Anders, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15, 550 (2014).
80
KR Thornton, A C++ template library for efficient forward-time population genetic simulation of large populations. Genetics 198, 157–166 (2014).
Information & Authors
Information
Published in
Classifications
Copyright
Copyright © 2017 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Data Availability
Data deposition: The sequence reported in this paper has been deposited in the National Center for Biotechnology Information Sequence Read Archive (NCBI SRA) database (accession no. PRJNA388292).
Submission history
Published online: October 17, 2017
Published in issue: October 31, 2017
Keywords
Acknowledgments
We thank R. Gaut and R. Figueroa-Balderas for generating the data and sampling; two anonymous reviewers, D. Seymour, Q. Liu, K. Roessler, and E. Solares provided comments. Y.Z. is supported by the International Postdoctoral Exchange Fellowship Program, J.S. is supported by the National Science Foundation Graduate Research Fellowships Program, and B.S.G. is supported by the Borchard Foundation. D.C. is supported by J. Lohr Vineyards and Wines, E. & J. Gallo Winery, and the Louis P. Martini Endowment.
Notes
This article is a PNAS Direct Submission.
Authors
Competing Interests
The authors declare no conflict of interest.
Metrics & Citations
Metrics
Citation statements
Altmetrics
Citations
Cite this article
114 (44) 11715-11720,
Export the article citation data by selecting a format from the list below and clicking Export.
Cited by
Loading...
View Options
View options
PDF format
Download this article as a PDF file
DOWNLOAD PDFLogin options
Check if you have access through your login credentials or your institution to get full access on this article.
Personal login Institutional LoginRecommend to a librarian
Recommend PNAS to a LibrarianPurchase options
Purchase this article to access the full text.