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Eduard Akhunov

Bio: Eduard Akhunov is an academic researcher from Kansas State University. The author has contributed to research in topics: Genome & Population. The author has an hindex of 49, co-authored 109 publications receiving 11072 citations. Previous affiliations of Eduard Akhunov include University of Minnesota & Commonwealth Scientific and Industrial Research Organisation.


Papers
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Journal ArticleDOI
TL;DR: The developed array and cluster identification algorithms provide an opportunity to infer detailed haplotype structure in polyploid wheat and will serve as an invaluable resource for diversity studies and investigating the genetic basis of trait variation in wheat.
Abstract: High-density single nucleotide polymorphism (SNP) genotyping arrays are a powerful tool for studying genomic patterns of diversity, inferring ancestral relationships between individuals in populations and studying marker-trait associations in mapping experiments. We developed a genotyping array including about 90,000 gene-associated SNPs and used it to characterize genetic variation in allohexaploid and allotetraploid wheat populations. The array includes a significant fraction of common genome-wide distributed SNPs that are represented in populations of diverse geographical origin. We used density-based spatial clustering algorithms to enable high-throughput genotype calling in complex data sets obtained for polyploid wheat. We show that these model-free clustering algorithms provide accurate genotype calling in the presence of multiple clusters including clusters with low signal intensity resulting from significant sequence divergence at the target SNP site or gene deletions. Assays that detect low-intensity clusters can provide insight into the distribution of presence-absence variation (PAV) in wheat populations. A total of 46 977 SNPs from the wheat 90K array were genetically mapped using a combination of eight mapping populations. The developed array and cluster identification algorithms provide an opportunity to infer detailed haplotype structure in polyploid wheat and will serve as an invaluable resource for diversity studies and investigating the genetic basis of trait variation in wheat.

1,451 citations

Journal ArticleDOI
Klaus F. X. Mayer, Jane Rogers, Jaroslav Doležel1, Curtis J. Pozniak2, Kellye Eversole, Catherine Feuillet3, Bikram S. Gill4, Bernd Friebe4, Adam J. Lukaszewski5, Pierre Sourdille6, Takashi R. Endo7, M. Kubaláková1, Jarmila Číhalíková1, Zdeňka Dubská1, Jan Vrána1, Romana Šperková1, Hana Šimková1, Melanie Febrer8, Leah Clissold, Kirsten McLay, Kuldeep Singh9, Parveen Chhuneja9, Nagendra K. Singh10, Jitendra P. Khurana11, Eduard Akhunov4, Frédéric Choulet6, Adriana Alberti, Valérie Barbe, Patrick Wincker, Hiroyuki Kanamori12, Fuminori Kobayashi12, Takeshi Itoh12, Takashi Matsumoto12, Hiroaki Sakai12, Tsuyoshi Tanaka12, Jianzhong Wu12, Yasunari Ogihara13, Hirokazu Handa12, P. Ron Maclachlan2, Andrew G. Sharpe14, Darrin Klassen14, David Edwards, Jacqueline Batley, Odd-Arne Olsen, Simen Rød Sandve15, Sigbjørn Lien15, Burkhard Steuernagel16, Brande B. H. Wulff16, Mario Caccamo, Sarah Ayling, Ricardo H. Ramirez-Gonzalez, Bernardo J. Clavijo, Jonathan M. Wright, Matthias Pfeifer, Manuel Spannagl, Mihaela Martis, Martin Mascher17, Jarrod Chapman18, Jesse Poland4, Uwe Scholz17, Kerrie Barry18, Robbie Waugh19, Daniel S. Rokhsar18, Gary J. Muehlbauer, Nils Stein17, Heidrun Gundlach, Matthias Zytnicki20, Véronique Jamilloux20, Hadi Quesneville20, Thomas Wicker21, Primetta Faccioli, Moreno Colaiacovo, Antonio Michele Stanca, Hikmet Budak22, Luigi Cattivelli, Natasha Glover6, Lise Pingault6, Etienne Paux6, Sapna Sharma, Rudi Appels23, Matthew I. Bellgard23, Brett Chapman23, Thomas Nussbaumer, Kai Christian Bader, Hélène Rimbert, Shichen Wang4, Ron Knox, Andrzej Kilian, Michael Alaux20, Françoise Alfama20, Loïc Couderc20, Nicolas Guilhot6, Claire Viseux20, Mikaël Loaec20, Beat Keller21, Sébastien Praud 
18 Jul 2014-Science
TL;DR: Insight into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.
Abstract: An ordered draft sequence of the 17-gigabase hexaploid bread wheat (Triticum aestivum) genome has been produced by sequencing isolated chromosome arms. We have annotated 124,201 gene loci distributed nearly evenly across the homeologous chromosomes and subgenomes. Comparative gene analysis of wheat subgenomes and extant diploid and tetraploid wheat relatives showed that high sequence similarity and structural conservation are retained, with limited gene loss, after polyploidization. However, across the genomes there was evidence of dynamic gene gain, loss, and duplication since the divergence of the wheat lineages. A high degree of transcriptional autonomy and no global dominance was found for the subgenomes. These insights into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.

1,421 citations

Journal ArticleDOI
TL;DR: It is shown that selection likely acts on distinct targets or multiple functionally equivalent alleles in different portions of the geographic range of wheat, suggesting either weak selection pressure or temporal variation in the targets of directional selection during breeding probably associated with changing agricultural practices or environmental conditions.
Abstract: Domesticated crops experience strong human-mediated selection aimed at developing high-yielding varieties adapted to local conditions. To detect regions of the wheat genome subject to selection during improvement, we developed a high-throughput array to interrogate 9,000 gene-associated single-nucleotide polymorphisms (SNP) in a worldwide sample of 2,994 accessions of hexaploid wheat including landraces and modern cultivars. Using a SNP-based diversity map we characterized the impact of crop improvement on genomic and geographic patterns of genetic diversity. We found evidence of a small population bottleneck and extensive use of ancestral variation often traceable to founders of cultivars from diverse geographic regions. Analyzing genetic differentiation among populations and the extent of haplotype sharing, we identified allelic variants subjected to selection during improvement. Selective sweeps were found around genes involved in the regulation of flowering time and phenology. An introgression of a wild relative-derived gene conferring resistance to a fungal pathogen was detected by haplotype-based analysis. Comparing selective sweeps identified in different populations, we show that selection likely acts on distinct targets or multiple functionally equivalent alleles in different portions of the geographic range of wheat. The majority of the selected alleles were present at low frequency in local populations, suggesting either weak selection pressure or temporal variation in the targets of directional selection during breeding probably associated with changing agricultural practices or environmental conditions. The developed SNP chip and map of genetic variation provide a resource for advancing wheat breeding and supporting future population genomic and genome-wide association studies in wheat.

871 citations

Journal ArticleDOI
07 Jul 2017-Science
TL;DR: A 10.1-gigabase assembly of the 14 chromosomes of wild tetraploid wheat, as well as analyses of gene content, genome architecture, and genetic diversity reveal genomic regions bearing the signature of selection under domestication.
Abstract: Wheat (Triticum spp.) is one of the founder crops that likely drove the Neolithic transition to sedentary agrarian societies in the Fertile Crescent more than 10,000 years ago. Identifying genetic modifications underlying wheat's domestication requires knowledge about the genome of its allo-tetraploid progenitor, wild emmer (T. turgidum ssp. dicoccoides). We report a 10.1-gigabase assembly of the 14 chromosomes of wild tetraploid wheat, as well as analyses of gene content, genome architecture, and genetic diversity. With this fully assembled polyploid wheat genome, we identified the causal mutations in Brittle Rachis 1 (TtBtr1) genes controlling shattering, a key domestication trait. A study of genomic diversity among wild and domesticated accessions revealed genomic regions bearing the signature of selection under domestication. This reference assembly will serve as a resource for accelerating the genome-assisted improvement of modern wheat varieties.

622 citations

Journal ArticleDOI
TL;DR: A rice genome view of homologous wheat genome locations based on comparative sequence analysis revealed numerous chromosomal rearrangements that will significantly complicate the use of rice as a model for cross-species transfer of information in nonconserved regions.
Abstract: The use of DNA sequence-based comparative genomics for evolutionary studies and for transferring information from model species to crop species has revolutionized molecular genetics and crop improvement strategies. This study compared 4485 expressed sequence tags (ESTs) that were physically mapped in wheat chromosome bins, to the public rice genome sequence data from 2251 ordered BAC/PAC clones using BLAST. A rice genome view of homologous wheat genome locations based on comparative sequence analysis revealed numerous chromosomal rearrangements that will significantly complicate the use of rice as a model for cross-species transfer of information in nonconserved regions.

423 citations


Cited by
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Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations

Journal ArticleDOI
Rudi Appels1, Rudi Appels2, Kellye Eversole, Nils Stein3  +204 moreInstitutions (45)
17 Aug 2018-Science
TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
Abstract: An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of the genome and containing 107,891 high-confidence gene models, this assembly enabled the discovery of tissue- and developmental stage-related coexpression networks by providing a transcriptome atlas representing major stages of wheat development. Dynamics of complex gene families involved in environmental adaptation and end-use quality were revealed at subgenome resolution and contextualized to known agronomic single-gene or quantitative trait loci. This community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.

2,118 citations

Journal ArticleDOI
Riccardo Velasco, Andrey Zharkikh1, Jason P. Affourtit2, Amit Dhingra3, Alessandro Cestaro, Ananth Kalyanaraman3, Paolo Fontana, Satish Bhatnagar1, Michela Troggio, Dmitry Pruss1, Silvio Salvi4, Massimo Pindo, Paolo Baldi, Sara Castelletti, Marina Cavaiuolo, G. Coppola, Fabrizio Costa, V. Cova, Antonio Dal Ri, Vadim V. Goremykin, M. Komjanc, Sara Longhi, P. Magnago, Giulia Malacarne, Mickael Malnoy, Diego Micheletti, Marco Moretto, Michele Perazzolli, Azeddine Si-Ammour, Silvia Vezzulli, E. Zini, Glenn Eldredge1, Lisa M. Fitzgerald1, N. Gutin1, Jerry S. Lanchbury1, Teresita Macalma1, J.T. Mitchell1, Julia Reid1, Bryan Wardell1, Chinnappa D. Kodira2, Zhoutao Chen2, Brian Desany2, Faheem Niazi2, Melinda Palmer2, Tyson Koepke3, Derick Jiwan3, Scott Schaeffer3, Vandhana Krishnan3, Changjun Wu3, Vu T. Chu5, Stephen T. King5, Jessica Vick5, Quanzhou Tao, Amy Mraz, Aimee Stormo, Keith E. Stormo, Robert Bogden, Davide Ederle6, Alessandra Stella6, Alberto Vecchietti6, Martin M. Kater7, Simona Masiero7, Pauline Lasserre, Yves Lespinasse, Andrew C. Allan8, Vincent G. M. Bus8, David Chagné8, Ross N. Crowhurst8, Andrew P. Gleave8, Enrico Lavezzo9, Jeffrey A. Fawcett10, Jeffrey A. Fawcett11, Sebastian Proost10, Sebastian Proost11, Pierre Rouzé11, Pierre Rouzé10, Lieven Sterck10, Lieven Sterck11, Stefano Toppo9, Barbara Lazzari6, Roger P. Hellens8, Charles-Eric Durel, Alexander Gutin1, Roger E. Bumgarner5, Susan E. Gardiner8, Mark H. Skolnick1, Michael Egholm2, Yves Van de Peer10, Yves Van de Peer11, Francesco Salamini6, Roberto Viola 
TL;DR: It is shown that a relatively recent (>50 million years ago) genome-wide duplication has resulted in the transition from nine ancestral chromosomes to 17 chromosomes in the Pyreae, which partly support the monophyly of the ancestral paleohexaploidy of eudicots.
Abstract: We report a high-quality draft genome sequence of the domesticated apple (Malus × domestica). We show that a relatively recent (>50 million years ago) genome-wide duplication (GWD) has resulted in the transition from nine ancestral chromosomes to 17 chromosomes in the Pyreae. Traces of older GWDs partly support the monophyly of the ancestral paleohexaploidy of eudicots. Phylogenetic reconstruction of Pyreae and the genus Malus, relative to major Rosaceae taxa, identified the progenitor of the cultivated apple as M. sieversii. Expansion of gene families reported to be involved in fruit development may explain formation of the pome, a Pyreae-specific false fruit that develops by proliferation of the basal part of the sepals, the receptacle. In apple, a subclade of MADS-box genes, normally involved in flower and fruit development, is expanded to include 15 members, as are other gene families involved in Rosaceae-specific metabolism, such as transport and assimilation of sorbitol.

1,718 citations

Journal ArticleDOI
John P. Vogel1, David F. Garvin2, Todd C. Mockler2, Jeremy Schmutz, Daniel S. Rokhsar3, Michael W. Bevan4, Kerrie Barry5, Susan Lucas5, Miranda Harmon-Smith5, Kathleen Lail5, Hope Tice5, Jane Grimwood, Neil McKenzie4, Naxin Huo6, Yong Q. Gu6, Gerard R. Lazo6, Olin D. Anderson6, Frank M. You7, Ming-Cheng Luo7, Jan Dvorak7, Jonathan M. Wright4, Melanie Febrer4, Dominika Idziak8, Robert Hasterok8, Erika Lindquist5, Mei Wang5, Samuel E. Fox2, Henry D. Priest2, Sergei A. Filichkin2, Scott A. Givan2, Douglas W. Bryant2, Jeff H. Chang2, Haiyan Wu9, Wei Wu10, An-Ping Hsia10, Patrick S. Schnable9, Anantharaman Kalyanaraman11, Brad Barbazuk12, Todd P. Michael, Samuel P. Hazen13, Jennifer N. Bragg6, Debbie Laudencia-Chingcuanco6, Yiqun Weng14, Georg Haberer, Manuel Spannagl, Klaus F. X. Mayer, Thomas Rattei15, Therese Mitros3, Sang-Jik Lee16, Jocelyn K. C. Rose16, Lukas A. Mueller16, Thomas L. York16, Thomas Wicker17, Jan P. Buchmann17, Jaakko Tanskanen18, Alan H. Schulman18, Heidrun Gundlach, Michael W. Bevan4, Antonio Costa de Oliveira19, Luciano da C. Maia19, William R. Belknap6, Ning Jiang, Jinsheng Lai9, Liucun Zhu20, Jianxin Ma20, Cheng Sun21, Ellen J. Pritham21, Jérôme Salse, Florent Murat, Michael Abrouk, Rémy Bruggmann, Joachim Messing, Noah Fahlgren2, Christopher M. Sullivan2, James C. Carrington2, Elisabeth J. Chapman, Greg D. May22, Jixian Zhai23, Matthias Ganssmann23, Sai Guna Ranjan Gurazada23, Marcelo A German23, Blake C. Meyers23, Pamela J. Green23, Ludmila Tyler3, Jiajie Wu7, James A. Thomson6, Shan Chen13, Henrik Vibe Scheller24, Jesper Harholt25, Peter Ulvskov25, Jeffrey A. Kimbrel2, Laura E. Bartley24, Peijian Cao24, Ki-Hong Jung26, Manoj Sharma24, Miguel E. Vega-Sánchez24, Pamela C. Ronald24, Chris Dardick6, Stefanie De Bodt27, Wim Verelst27, Dirk Inzé27, Maren Heese28, Arp Schnittger28, Xiaohan Yang29, Udaya C. Kalluri29, Gerald A. Tuskan29, Zhihua Hua14, Richard D. Vierstra14, Yu Cui9, Shuhong Ouyang9, Qixin Sun9, Zhiyong Liu9, Alper Yilmaz30, Erich Grotewold30, Richard Sibout31, Kian Hématy31, Grégory Mouille31, Herman Höfte31, Todd P. Michael, Jérôme Pelloux32, Devin O'Connor3, James C. Schnable3, Scott C. Rowe3, Frank G. Harmon3, Cynthia L. Cass33, John C. Sedbrook33, Mary E. Byrne4, Sean Walsh4, Janet Higgins4, Pinghua Li16, Thomas P. Brutnell16, Turgay Unver34, Hikmet Budak34, Harry Belcram, Mathieu Charles, Boulos Chalhoub, Ivan Baxter35 
11 Feb 2010-Nature
TL;DR: The high-quality genome sequence will help Brachypodium reach its potential as an important model system for developing new energy and food crops and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat.
Abstract: Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its potential as an important model system for developing new energy and food crops.

1,603 citations

Journal ArticleDOI
28 Feb 2012-PLOS ONE
TL;DR: The GBS approach presented here provides a powerful method of developing high-density markers in species without a sequenced genome while providing valuable tools for anchoring and ordering physical maps and whole-genome shotgun sequence.
Abstract: Advancements in next-generation sequencing technology have enabled whole genome re-sequencing in many species providing unprecedented discovery and characterization of molecular polymorphisms. There are limitations, however, to next-generation sequencing approaches for species with large complex genomes such as barley and wheat. Genotyping-by-sequencing (GBS) has been developed as a tool for association studies and genomics-assisted breeding in a range of species including those with complex genomes. GBS uses restriction enzymes for targeted complexity reduction followed by multiplex sequencing to produce high-quality polymorphism data at a relatively low per sample cost. Here we present a GBS approach for species that currently lack a reference genome sequence. We developed a novel two-enzyme GBS protocol and genotyped bi-parental barley and wheat populations to develop a genetically anchored reference map of identified SNPs and tags. We were able to map over 34,000 SNPs and 240,000 tags onto the Oregon Wolfe Barley reference map, and 20,000 SNPs and 367,000 tags on the Synthetic W9784 × Opata85 (SynOpDH) wheat reference map. To further evaluate GBS in wheat, we also constructed a de novo genetic map using only SNP markers from the GBS data. The GBS approach presented here provides a powerful method of developing high-density markers in species without a sequenced genome while providing valuable tools for anchoring and ordering physical maps and whole-genome shotgun sequence. Development of the sequenced reference genome(s) will in turn increase the utility of GBS data enabling physical mapping of genes and haplotype imputation of missing data. Finally, as a result of low per-sample costs, GBS will have broad application in genomics-assisted plant breeding programs.

1,492 citations