Literature DB >> 27898836

Population Genomics Related to Adaptation in Elite Oat Germplasm.

Kathy Esvelt Klos, Yung-Fen Huang, Wubishet A Bekele, Don E Obert, Ebrahiem Babiker, Aaron D Beattie, Åsmund Bjørnstad, J Michael Bonman, Martin L Carson, Shiaoman Chao, Belaghihalli N Gnanesh, Irene Griffiths, Stephen A Harrison, Catherine J Howarth, Gongshe Hu, Amir Ibrahim, Emir Islamovic, Eric W Jackson, Jean-Luc Jannink, Frederic L Kolb, Michael S McMullen, Jennifer Mitchell Fetch, J Paul Murphy, Herbert W Ohm, Howard W Rines, Brian G Rossnagel, Jessica A Schlueter, Mark E Sorrells, Charlene P Wight, Weikai Yan, Nicholas A Tinker.   

Abstract

Six hundred thirty five oat ( L.) lines and 4561 single-nucleotide polymorphism (SNP) loci were used to evaluate population structure, linkage disequilibrium (LD), and genotype-phenotype association with heading date. The first five principal components (PCs) accounted for 25.3% of genetic variation. Neither the eigenvalues of the first 25 PCs nor the cross-validation errors from = 1 to 20 model-based analyses suggested a structured population. However, the PC and = 2 model-based analyses supported clustering of lines on spring oat vs. southern United States origin, accounting for 16% of genetic variation ( < 0.0001). Single-locus -statistic () in the highest 1% of the distribution suggested linkage groups that may be differentiated between the two population subgroups. Population structure and kinship-corrected LD of = 0.10 was observed at an average pairwise distance of 0.44 cM (0.71 and 2.64 cM within spring and southern oat, respectively). On most linkage groups LD decay was slower within southern lines than within the spring lines. A notable exception was found on linkage group Mrg28, where LD decay was substantially slower in the spring subpopulation. It is speculated that this may be caused by a heterogeneous translocation event on this chromosome. Association with heading date was most consistent across location-years on linkage groups Mrg02, Mrg12, Mrg13, and Mrg24.
Copyright © Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada.

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Year:  2016        PMID: 27898836     DOI: 10.3835/plantgenome2015.10.0103

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  11 in total

1.  A targeted genotyping-by-sequencing tool (Rapture) for genomics-assisted breeding in oat.

Authors:  Wubishet A Bekele; Asuka Itaya; Brian Boyle; Weikai Yan; Jennifer Mitchell Fetch; Nicholas A Tinker
Journal:  Theor Appl Genet       Date:  2019-12-04       Impact factor: 5.699

2.  Identification, introgression, and molecular marker genetic analysis and selection of a highly effective novel oat crown rust resistance from diploid oat, Avena strigosa.

Authors:  Howard W Rines; Marisa E Miller; Martin Carson; Shiaoman Chao; Tyler Tiede; Jochum Wiersma; Shahryar F Kianian
Journal:  Theor Appl Genet       Date:  2017-12-06       Impact factor: 5.699

3.  Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.).

Authors:  Maryn O Carlson; Gracia Montilla-Bascon; Owen A Hoekenga; Nicholas A Tinker; Jesse Poland; Matheus Baseggio; Mark E Sorrells; Jean-Luc Jannink; Michael A Gore; Trevor H Yeats
Journal:  G3 (Bethesda)       Date:  2019-09-04       Impact factor: 3.154

4.  The Genetic Architecture of Milling Quality in Spring Oat Lines of the Collaborative Oat Research Enterprise.

Authors:  Kathy Esvelt Klos; Belayneh A Yimer; Catherine J Howarth; Michael S McMullen; Mark E Sorrells; Nicholas A Tinker; Weikai Yan; Aaron D Beattie
Journal:  Foods       Date:  2021-10-16

5.  Population structure and genome-wide association analysis for frost tolerance in oat using continuous SNP array signal intensity ratios.

Authors:  Giorgio Tumino; Roeland E Voorrips; Fulvia Rizza; Franz W Badeck; Caterina Morcia; Roberta Ghizzoni; Christoph U Germeier; Maria-João Paulo; Valeria Terzi; Marinus J M Smulders
Journal:  Theor Appl Genet       Date:  2016-06-18       Impact factor: 5.699

6.  High-density marker profiling confirms ancestral genomes of Avena species and identifies D-genome chromosomes of hexaploid oat.

Authors:  Honghai Yan; Wubishet A Bekele; Charlene P Wight; Yuanying Peng; Tim Langdon; Robert G Latta; Yong-Bi Fu; Axel Diederichsen; Catherine J Howarth; Eric N Jellen; Brian Boyle; Yuming Wei; Nicholas A Tinker
Journal:  Theor Appl Genet       Date:  2016-08-13       Impact factor: 5.699

7.  Phenotypic changes during 100-year rice breeding programs in Hokkaido.

Authors:  Kenji Fujino; Tsutomu Nishimura; Hitoshi Kiuchi; Yuji Hirayama; Takashi Sato
Journal:  Breed Sci       Date:  2017-11-18       Impact factor: 2.086

8.  Multi-Environmental Trials Reveal Genetic Plasticity of Oat Agronomic Traits Associated With Climate Variable Changes.

Authors:  Nicolas Rispail; Gracia Montilla-Bascón; Javier Sánchez-Martín; Fernando Flores; Catherine Howarth; Tim Langdon; Diego Rubiales; Elena Prats
Journal:  Front Plant Sci       Date:  2018-09-19       Impact factor: 5.753

9.  Haplotype-based genotyping-by-sequencing in oat genome research.

Authors:  Wubishet A Bekele; Charlene P Wight; Shiaoman Chao; Catherine J Howarth; Nicholas A Tinker
Journal:  Plant Biotechnol J       Date:  2018-03-25       Impact factor: 9.803

10.  Genome-Wide Association Study Reveals the Genetic Architecture of Seed Vigor in Oats.

Authors:  Ching-Ting Huang; Kathy Esvelt Klos; Yung-Fen Huang
Journal:  G3 (Bethesda)       Date:  2020-12-03       Impact factor: 3.154

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