The genetic architecture of teosinte catalyzed and constrained maize domestication

Significance Crop domestication is a well-established system for understanding evolution. We interrogated the genetic architecture of maize domestication from a quantitative genetics perspective. We analyzed domestication-related traits in a maize landrace and a population of its ancestor, teosinte. We observed strong divergence in the underlying genetic architecture including change in the genetic correlations among traits. Despite striking divergence, selection intensities were low for all traits, indicating that selection under domestication can be weaker than natural selection. Analyses suggest total grain weight per plant was not improved and that genetic correlations placed considerable constraint on selection. We hope our results will motivate crop evolutionists to perform similar work in other crops. The process of evolution under domestication has been studied using phylogenetics, population genetics–genomics, quantitative trait locus (QTL) mapping, gene expression assays, and archaeology. Here, we apply an evolutionary quantitative genetic approach to understand the constraints imposed by the genetic architecture of trait variation in teosinte, the wild ancestor of maize, and the consequences of domestication on genetic architecture. Using modern teosinte and maize landrace populations as proxies for the ancestor and domesticate, respectively, we estimated heritabilities, additive and dominance genetic variances, genetic-by-environment variances, genetic correlations, and genetic covariances for 18 domestication-related traits using realized genomic relationships estimated from genome-wide markers. We found a reduction in heritabilities across most traits, and the reduction is stronger in reproductive traits (size and numbers of grains and ears) than vegetative traits. We observed larger depletion in additive genetic variance than dominance genetic variance. Selection intensities during domestication were weak for all traits, with reproductive traits showing the highest values. For 17 of 18 traits, neutral divergence is rejected, suggesting they were targets of selection during domestication. Yield (total grain weight) per plant is the sole trait that selection does not appear to have improved in maize relative to teosinte. From a multivariate evolution perspective, we identified a strong, nonneutral divergence between teosinte and maize landrace genetic variance–covariance matrices (G-matrices). While the structure of G-matrix in teosinte posed considerable genetic constraint on early domestication, the maize landrace G-matrix indicates that the degree of constraint is more unfavorable for further evolution along the same trajectory.

[1]  Documenting Domestication , 2019 .

[2]  A. Hendry,et al.  Human influences on the strength of phenotypic selection , 2018, Proceedings of the National Academy of Sciences.

[3]  M. Lynch,et al.  Evolution and Selection of Quantitative Traits , 2018, Oxford Scholarship Online.

[4]  Joseph L. Gage,et al.  The effect of artificial selection on phenotypic plasticity in maize , 2017, Nature Communications.

[5]  Wei Li,et al.  Ideal crop plant architecture is mediated by tassels replace upper ears1, a BTB/POZ ankyrin repeat gene directly targeted by TEOSINTE BRANCHED1 , 2017, Proceedings of the National Academy of Sciences.

[6]  Amber M. VanDerwarker,et al.  High-precision chronology for Central American maize diversification from El Gigante rockshelter, Honduras , 2017, Proceedings of the National Academy of Sciences.

[7]  R. Montiel,et al.  The earliest maize from San Marcos Tehuacán is a partial domesticate with genomic evidence of inbreeding , 2016, Proceedings of the National Academy of Sciences.

[8]  J. Doebley,et al.  A Gene for Genetic Background in Zea mays: Fine-Mapping enhancer of teosinte branched1.2 to a YABBY Class Transcription Factor , 2016, Genetics.

[9]  J. Doebley,et al.  Evidence That the Origin of Naked Kernels During Maize Domestication Was Caused by a Single Amino Acid Substitution in tga1 , 2015, Genetics.

[10]  Jeffrey Ross-Ibarra,et al.  Genetic, evolutionary and plant breeding insights from the domestication of maize , 2015, eLife.

[11]  J. Hermisson,et al.  Catch Me if You Can: Adaptation from Standing Genetic Variation to a Moving Phenotypic Optimum , 2015, Genetics.

[12]  I. Baldwin,et al.  THE NATURAL HISTORY OF MODEL ORGANISMS , 2015 .

[13]  B. Hallgrímsson,et al.  Impacts of genetic correlation on the independent evolution of body mass and skeletal size in mammals , 2014, BMC Evolutionary Biology.

[14]  Zachary H. Lemmon,et al.  The Role of cis Regulatory Evolution in Maize Domestication , 2014, PLoS genetics.

[15]  Leif Andersson,et al.  Current perspectives and the future of domestication studies , 2014, Proceedings of the National Academy of Sciences.

[16]  Robin G. Allaby,et al.  Convergent evolution and parallelism in plant domestication revealed by an expanding archaeological record , 2014, Proceedings of the National Academy of Sciences.

[17]  Jing Wang,et al.  CrossMap: a versatile tool for coordinate conversion between genome assemblies , 2014, Bioinform..

[18]  Robert J. Elshire,et al.  TASSEL-GBS: A High Capacity Genotyping by Sequencing Analysis Pipeline , 2014, PloS one.

[19]  Thomas E. Juenger,et al.  Genotype-by-Environment Interaction and Plasticity: Exploring Genomic Responses of Plants to the Abiotic Environment , 2013 .

[20]  Rachel S. Meyer,et al.  Evolution of crop species: genetics of domestication and diversification , 2013, Nature Reviews Genetics.

[21]  K. Olsen,et al.  A bountiful harvest: genomic insights into crop domestication phenotypes. , 2013, Annual review of plant biology.

[22]  R. O’Hara,et al.  QST–FST comparisons: evolutionary and ecological insights from genomic heterogeneity , 2013, Nature Reviews Genetics.

[23]  Laura M. Shannon,et al.  From Many, One: Genetic Control of Prolificacy during Maize Domestication , 2013, PLoS genetics.

[24]  M. Hufford,et al.  The Genomic Signature of Crop-Wild Introgression in Maize , 2012, PLoS genetics.

[25]  Jean-Luc Jannink,et al.  Shrinkage Estimation of the Realized Relationship Matrix , 2012, G3: Genes | Genomes | Genetics.

[26]  Xun Xu,et al.  Comparative population genomics of maize domestication and improvement , 2012, Nature Genetics.

[27]  Cheng-Ting Yeh,et al.  Parallel domestication of the Shattering1 genes in cereals , 2012, Nature Genetics.

[28]  Liam J. Revell,et al.  phytools: an R package for phylogenetic comparative biology (and other things) , 2012 .

[29]  Jeffrey Ross-Ibarra,et al.  Identification of a functional transposon insertion in the maize domestication gene tb1 , 2011, Nature Genetics.

[30]  Robert J. Elshire,et al.  A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species , 2011, PloS one.

[31]  Q. Qian,et al.  Genetic Control of a Transition from Black to Straw-White Seed Hull in Rice Domestication1[C][W][OA] , 2011, Plant Physiology.

[32]  M. Purugganan,et al.  ARCHAEOLOGICAL DATA REVEAL SLOW RATES OF EVOLUTION DURING PLANT DOMESTICATION , 2011, Evolution; international journal of organic evolution.

[33]  K. Olsen,et al.  Genetic perspectives on crop domestication. , 2010, Trends in plant science.

[34]  B. Gaut,et al.  Fine scale genetic structure in the wild ancestor of maize (Zea mays ssp. parviglumis) , 2010, Molecular ecology.

[35]  M. Whitlock,et al.  Testing for Spatially Divergent Selection: Comparing QST to FST , 2009, Genetics.

[36]  P. Keightley,et al.  Estimating the rate of adaptive molecular evolution in the presence of slightly deleterious mutations and population size change. , 2009, Molecular biology and evolution.

[37]  D. Piperno,et al.  Starch grain and phytolith evidence for early ninth millennium B.P. maize from the Central Balsas River Valley, Mexico , 2009, Proceedings of the National Academy of Sciences.

[38]  Jay L. Lush,et al.  Animal Breeding Plans , 2008 .

[39]  J. Goudet,et al.  Multivariate Qst–Fst Comparisons: A Neutrality Test for the Evolution of the G Matrix in Structured Populations , 2008, Genetics.

[40]  P. VanRaden,et al.  Efficient methods to compute genomic predictions. , 2008, Journal of dairy science.

[41]  Otso Ovaskainen,et al.  A Bayesian framework for comparative quantitative genetics , 2008, Proceedings of the Royal Society B: Biological Sciences.

[42]  H. Kanamori,et al.  Barley grain with adhering hulls is controlled by an ERF family transcription factor gene regulating a lipid biosynthesis pathway , 2008, Proceedings of the National Academy of Sciences.

[43]  J. Reif,et al.  Genetic Diversity in CIMMYT Nontemperate Maize Germplasm: Landraces, Open Pollinated Varieties, and Inbred Lines , 2008 .

[44]  G. Ladizinsky Founder effect in crop-plant evolution , 1985, Economic Botany.

[45]  H. Iltis Homeotic Sexual Translocations and the Origin of Maize (Zea Mays, Poaceae): A New look at an old problem , 2008, Economic Botany.

[46]  D. Schluter,et al.  Adaptation from standing genetic variation. , 2008, Trends in ecology & evolution.

[47]  Brandon S Gaut,et al.  Linkage Mapping of Domestication Loci in a Large Maize–Teosinte Backcross Resource , 2007, Genetics.

[48]  Edward S. Buckler,et al.  TASSEL: software for association mapping of complex traits in diverse samples , 2007, Bioinform..

[49]  M. McMullen,et al.  Genomic Screening for Artificial Selection during Domestication and Improvement in Maize , 2007, Annals of botany.

[50]  J. Cheverud,et al.  Research Article Comparing covariance matrices: random skewers method compared to the common principal components model , 2007 .

[51]  M. Pigliucci,et al.  Phenotypic plasticity and evolution by genetic assimilation , 2006, Journal of Experimental Biology.

[52]  S. Leavitt,et al.  El Riego and Early Maize Agricultural Evolution , 2006 .

[53]  M. Zeder Documenting Domestication: New Genetic and Archaeological Paradigms , 2006 .

[54]  L. Lukens,et al.  The origin of the naked grains of maize , 2005, Nature.

[55]  D. Duvick The Contribution of Breeding to Yield Advances in maize (Zea mays L.) , 2005 .

[56]  M. Warburton Laboratory Protocols CIMMYT Applied Molecular Genetics Laboratory , 2005 .

[57]  J. Doebley The genetics of maize evolution. , 2004, Annual review of genetics.

[58]  H. Innan,et al.  Pattern of polymorphism after strong artificial selection in a domestication event. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[59]  O. Tenaillon,et al.  Selection versus demography: a multilocus investigation of the domestication process in maize. , 2004, Molecular biology and evolution.

[60]  Korbinian Strimmer,et al.  APE: Analyses of Phylogenetics and Evolution in R language , 2004, Bioinform..

[61]  M. Quinton,et al.  The effect of simultaneous selection on the genetic correlation , 1995, Theoretical and Applied Genetics.

[62]  C. Chevalet,et al.  Effects of population size and linkage on optimal selection intensity , 1993, Theoretical and Applied Genetics.

[63]  J. Colleau,et al.  Predicting cumulated response to directional selection in finite panmictic populations , 1990, Theoretical and Applied Genetics.

[64]  R. N. Lester Evolution under domestication involving disturbance of genic balance , 1989, Euphytica.

[65]  L. Rieseberg,et al.  Possible Consequences of Genes of Major Effect: Transient Changes in the G-matrix , 2022 .

[66]  K. Houchins,et al.  Identifying genes of agronomic importance in maize by screening microsatellites for evidence of selection during domestication , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[67]  J. Doebley,et al.  A single domestication for maize shown by multilocus microsatellite genotyping , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[68]  Julie R. Etterson,et al.  Constraint to Adaptive Evolution in Response to Global Warming , 2001, Science.

[69]  D. B. Burt Evolutionary stasis, constraint and other terminology describing evolutionary patterns☆ , 2001 .

[70]  J. M. Hoekstra,et al.  The Strength of Phenotypic Selection in Natural Populations , 2001, The American Naturalist.

[71]  S. J. Arnold,et al.  HIERARCHICAL COMPARISON OF GENETIC VARIANCE‐COVARIANCE MATRICES. I. USING THE FLURY HIERARCHY , 1999, Evolution; international journal of organic evolution.

[72]  D. Roff Evolutionary Quantitative Genetics , 1997, Springer US.

[73]  Dolph Schluter,et al.  ADAPTIVE RADIATION ALONG GENETIC LINES OF LEAST RESISTANCE , 1996, Evolution; international journal of organic evolution.

[74]  R. Lande,et al.  THE ROLE OF GENETIC VARIATION IN ADAPTATION AND POPULATION PERSISTENCE IN A CHANGING ENVIRONMENT , 1996, Evolution; international journal of organic evolution.

[75]  K. Spitze Population structure in Daphnia obtusa: quantitative genetic and allozymic variation. , 1993, Genetics.

[76]  A. Mäki-Tanila,et al.  Change in genetic correlation due to selection using animal model evaluation. , 1993, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

[77]  S. J. Arnold Constraints on Phenotypic Evolution , 1992, The American Naturalist.

[78]  Y. Itoh Changes in genetic correlations by index selection , 1991, Genetics Selection Evolution.

[79]  J. Doebley,et al.  Genetic and morphological analysis of a maize-teosinte F2 population: implications for the origin of maize. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[80]  B. Flury Common Principal Components and Related Multivariate Models , 1988 .

[81]  Bernhard Flury,et al.  Principal component analysis , 1988 .

[82]  H. Iltis From Teosinte to Maize: The Catastrophic Sexual Transmutation , 1983, Science.

[83]  J. Felsenstein The theoretical population genetics of variable selection and migration. , 1976, Annual review of genetics.

[84]  M. Bulmer,et al.  The Effect of Selection on Genetic Variability , 1971, The American Naturalist.

[85]  M. Kimura,et al.  An introduction to population genetics theory , 1971 .

[86]  C. Darwin On the Origin of Species by Means of Natural Selection: Or, The Preservation of Favoured Races in the Struggle for Life , 2019 .

[87]  N. Mantel The detection of disease clustering and a generalized regression approach. , 1967, Cancer research.

[88]  R. N. R. B.,et al.  THE AMERICAS , 2019, Religious Studies Review.