Genetic diversity and population structure analysis of synthetic and bread wheat accessions in Western Siberia

被引:15
作者
Bhatta, Madhav [1 ]
Shamanin, Vladimir [2 ]
Shepelev, Sergey [2 ]
Baenziger, P. Stephen [3 ]
Pozherukova, Violetta [2 ]
Pototskaya, Inna [2 ]
Morgounov, Alexey [4 ]
机构
[1] Univ Wisconsin Madison, Dept Agron, Madison, WI 53706 USA
[2] Omsk State Agr Univ, Omsk, Russia
[3] Univ Nebraska, Dept Agron & Hort, Lincoln, NE 68583 USA
[4] Int Maize & Wheat Improvement Ctr CIMMYT, Ankara, Turkey
基金
俄罗斯科学基金会;
关键词
Genotyping-by-sequencing; SNP markers; Genomic diversity; Population differentiation; Analysis of molecular variance; Triticum aestivum; HEXAPLOID WHEATS; LANDRACES; PROGRAMS; SOFTWARE; GENOTYPE;
D O I
10.1007/s13353-019-00514-x
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Recurrent selection and intercrossing between best of the best parents in each generation of breeding cycle resulted in a narrower genetic diversity in elite wheat (Triticum aestivum L.) germplasm. Therefore, we investigated diverse source of 143 synthetic and bread wheat accessions for identifying potentially rich genetic resources for improving the genetic diversity in wheat. This study identified 47,526 genotyping-by-sequencing-derived SNP markers that were nearly evenly distributed across three genomes of wheat. The population structure analysis identified three distinct clusters (Japan synthetics, CIMMYT synthetics, and bread wheat) of wheat genotypes on the basis of type and geographical origin of wheat accessions. Population differentiation using analysis of molecular variance indicated 21% of the total genetic variance among subgroups and the remainder within subgroups. This study also identified that the Japan synthetic group was the most divergent group compared with other subgroups. The genetic diversity comparisons between synthetic and bread wheat lines showed that the gene diversity of synthetic wheat was 33% higher than bread wheat accessions, indicating the potential use of these lines for broadening the genetic diversity of modern wheat cultivars. The results from this study will be helpful in further understanding genomic features of wheat and facilitate their use in wheat breeding programs.
引用
收藏
页码:283 / 289
页数:7
相关论文
共 23 条
[1]   Genotyping-by-Sequencing (GBS) Revealed Molecular Genetic Diversity of Iranian Wheat Landraces and Cultivars [J].
Alipour, Hadi ;
Bihamta, Mohammad R. ;
Mohammadi, Valiollah ;
Peyghambari, Seyed A. ;
Bai, Guihua ;
Zhang, Guorong .
FRONTIERS IN PLANT SCIENCE, 2017, 8
[2]   Discovery and development of exome-based, co-dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.) [J].
Allen, Alexandra M. ;
Barker, Gary L. A. ;
Wilkinson, Paul ;
Burridge, Amanda ;
Winfield, Mark ;
Coghill, Jane ;
Uauy, Cristobal ;
Griffiths, Simon ;
Jack, Peter ;
Berry, Simon ;
Werner, Peter ;
Melichar, James P. E. ;
McDougall, Jane ;
Gwilliam, Rhian ;
Robinson, Phil ;
Edwards, Keith J. .
PLANT BIOTECHNOLOGY JOURNAL, 2013, 11 (03) :279-295
[3]  
[Anonymous], 2018, BMJ-BRIT MED J, V361, pk2475, DOI DOI 10.1126/SCIENCE.AAR7191
[4]   Unlocking the novel genetic diversity and population structure of synthetic Hexaploid wheat [J].
Bhatta, Madhav ;
Morgounov, Alexey ;
Belamkar, Vikas ;
Poland, Jesse ;
Baenziger, P. Stephen .
BMC GENOMICS, 2018, 19
[5]   TASSEL: software for association mapping of complex traits in diverse samples [J].
Bradbury, Peter J. ;
Zhang, Zhiwu ;
Kroon, Dallas E. ;
Casstevens, Terry M. ;
Ramdoss, Yogesh ;
Buckler, Edward S. .
BIOINFORMATICS, 2007, 23 (19) :2633-2635
[6]   Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars [J].
Cavanagh, Colin R. ;
Chao, Shiaoman ;
Wang, Shichen ;
Huang, Bevan Emma ;
Stephen, Stuart ;
Kiani, Seifollah ;
Forrest, Kerrie ;
Saintenac, Cyrille ;
Brown-Guedira, Gina L. ;
Akhunova, Alina ;
See, Deven ;
Bai, Guihua ;
Pumphrey, Michael ;
Tomar, Luxmi ;
Wong, Debbie ;
Kong, Stephan ;
Reynolds, Matthew ;
da Silva, Marta Lopez ;
Bockelman, Harold ;
Talbert, Luther ;
Anderson, James A. ;
Dreisigacker, Susanne ;
Baenziger, Stephen ;
Carter, Arron ;
Korzun, Viktor ;
Morrell, Peter Laurent ;
Dubcovsky, Jorge ;
Morell, Matthew K. ;
Sorrells, Mark E. ;
Hayden, Matthew J. ;
Akhunov, Eduard .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (20) :8057-8062
[7]  
Cox T. S., 1998, Journal of Crop Production, V1, P1, DOI 10.1300/J144v01n01_01
[8]   Past and Future Use of Wild Relatives in Crop Breeding [J].
Dempewolf, Hannes ;
Baute, Gregory ;
Anderson, Justin ;
Kilian, Benjamin ;
Smith, Chelsea ;
Guarino, Luigi .
CROP SCIENCE, 2017, 57 (03) :1070-1082
[9]   Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study [J].
Evanno, G ;
Regnaut, S ;
Goudet, J .
MOLECULAR ECOLOGY, 2005, 14 (08) :2611-2620
[10]   Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows [J].
Excoffier, Laurent ;
Lischer, Heidi E. L. .
MOLECULAR ECOLOGY RESOURCES, 2010, 10 (03) :564-567