Evaluation of linkage disequilibrium, population structure, and genetic diversity in the U.S. peanut mini core collection.


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
11 Jun 2019
Historique:
received: 29 10 2018
accepted: 21 05 2019
entrez: 13 6 2019
pubmed: 13 6 2019
medline: 8 11 2019
Statut: epublish

Résumé

Due to the recent domestication of peanut from a single tetraploidization event, relatively little genetic diversity underlies the extensive morphological and agronomic diversity in peanut cultivars today. To broaden the genetic variation in future breeding programs, it is necessary to characterize germplasm accessions for new sources of variation and to leverage the power of genome-wide association studies (GWAS) to discover markers associated with traits of interest. We report an analysis of linkage disequilibrium (LD), population structure, and genetic diversity, and examine the ability of GWA to infer marker-trait associations in the U.S. peanut mini core collection genotyped with a 58 K SNP array. LD persists over long distances in the collection, decaying to r Based on GWA, population structure as well as additional simulation results, we find that the primary limitations of this collection for GWAS are a small collection size, significant remaining structure/genetic similarity and long LD blocks that limit the resolution of association mapping. These results can be used to improve GWAS in peanut in future studies - for example, by increasing the size and reducing structure in the collections used for GWAS.

Sections du résumé

BACKGROUND BACKGROUND
Due to the recent domestication of peanut from a single tetraploidization event, relatively little genetic diversity underlies the extensive morphological and agronomic diversity in peanut cultivars today. To broaden the genetic variation in future breeding programs, it is necessary to characterize germplasm accessions for new sources of variation and to leverage the power of genome-wide association studies (GWAS) to discover markers associated with traits of interest. We report an analysis of linkage disequilibrium (LD), population structure, and genetic diversity, and examine the ability of GWA to infer marker-trait associations in the U.S. peanut mini core collection genotyped with a 58 K SNP array.
RESULTS RESULTS
LD persists over long distances in the collection, decaying to r
CONCLUSIONS CONCLUSIONS
Based on GWA, population structure as well as additional simulation results, we find that the primary limitations of this collection for GWAS are a small collection size, significant remaining structure/genetic similarity and long LD blocks that limit the resolution of association mapping. These results can be used to improve GWAS in peanut in future studies - for example, by increasing the size and reducing structure in the collections used for GWAS.

Identifiants

pubmed: 31185892
doi: 10.1186/s12864-019-5824-9
pii: 10.1186/s12864-019-5824-9
pmc: PMC6558826
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

481

Subventions

Organisme : Oak Ridge Institute for Science and Education
ID : NA
Organisme : USDA-ARS
ID : Project 5030-21000-062-00D
Organisme : The Peanut Foundation
ID : 04-815-13

Références

Genetics. 2000 Jun;155(2):945-59
pubmed: 10835412
Mol Gen Genet. 2000 Jun;263(5):806-11
pubmed: 10905348
Am J Clin Nutr. 2001 Jan;73(1):41-4
pubmed: 11124748
Am J Hum Genet. 2001 Jul;69(1):1-14
pubmed: 11410837
Curr Opin Plant Biol. 2002 Apr;5(2):94-100
pubmed: 11856602
Gene. 2003 Jul 17;312:271-9
pubmed: 12909364
Annu Rev Plant Biol. 2003;54:357-74
pubmed: 14502995
Bioinformatics. 2005 May 1;21(9):2128-9
pubmed: 15705655
Mol Biol Evol. 2006 Feb;23(2):254-67
pubmed: 16221896
Nat Genet. 2006 Feb;38(2):203-8
pubmed: 16380716
Bioinformatics. 2007 Oct 1;23(19):2633-5
pubmed: 17586829
Genet Res. 2007 Apr;89(2):93-106
pubmed: 17669229
Am J Hum Genet. 2007 Sep;81(3):559-75
pubmed: 17701901
PLoS One. 2009 Dec 24;4(12):e8451
pubmed: 20041112
Nat Genet. 2010 Apr;42(4):355-60
pubmed: 20208535
Nature. 2010 Jun 3;465(7298):627-31
pubmed: 20336072
Nat Rev Genet. 2010 Jul;11(7):459-63
pubmed: 20548291
Annu Rev Genet. 2010;44:293-308
pubmed: 21047260
Genetica. 2011 Apr;139(4):411-29
pubmed: 21442404
Biochem Genet. 2011 Dec;49(11-12):748-59
pubmed: 21681577
Theor Appl Genet. 2011 Dec;123(8):1307-17
pubmed: 21822942
Phytochem Rev. 2011 Sep;10(3):397-412
pubmed: 21909286
Hum Genet. 2012 May;131(5):747-56
pubmed: 22143225
Nat Rev Genet. 2012 Jan 18;13(2):135-45
pubmed: 22251874
Nutrients. 2010 Jul;2(7):652-82
pubmed: 22254047
Stat Interface. 2011;4(3):317-326
pubmed: 22308192
J Exp Bot. 2012 Jun;63(11):4045-60
pubmed: 22511806
Bioinformatics. 2012 Sep 15;28(18):2397-9
pubmed: 22796960
Ann Bot. 2013 Jan;111(1):113-26
pubmed: 23131301
PLoS Comput Biol. 2012;8(12):e1002822
pubmed: 23300413
Plant Methods. 2013 Jul 22;9:29
pubmed: 23876160
G3 (Bethesda). 2014 Jan 10;4(1):89-96
pubmed: 24212082
Theor Appl Genet. 1968 Jun;38(6):226-31
pubmed: 24442307
Genetics. 2014 Jun;197(2):573-89
pubmed: 24700103
BMC Genomics. 2014 May 09;15:351
pubmed: 24885639
Genetics. 1989 Nov;123(3):585-95
pubmed: 2513255
BMC Genet. 2014 Dec 10;15:133
pubmed: 25491595
BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S55
pubmed: 25519390
New Phytol. 2015 Nov;208(3):830-45
pubmed: 26079595
G3 (Bethesda). 2015 Jul 06;5(9):1797-803
pubmed: 26153076
Mol Ecol Resour. 2017 Jan;17(1):27-32
pubmed: 26850166
Nat Genet. 2016 Apr;48(4):438-46
pubmed: 26901068
Theor Appl Genet. 2017 Jan;130(1):123-135
pubmed: 27699464
Front Plant Sci. 2016 Sep 30;7:1446
pubmed: 27746793
Nat Commun. 2016 Nov 08;7:13246
pubmed: 27824331
J Lipid Res. 2017 Jan;58(1):15-30
pubmed: 27836993
Int J Biol Sci. 2016 Oct 25;12(11):1382-1393
pubmed: 27877090
Mol Plant. 2017 Feb 13;10(2):309-322
pubmed: 27993622
Sci Rep. 2017 Jan 16;7:40577
pubmed: 28091575
Am J Hum Genet. 1995 Aug;57(2):455-64
pubmed: 7668272

Auteurs

Paul I Otyama (PI)

Agronomy Department, Iowa State University, Ames, IA, USA.

Andrew Wilkey (A)

ORISE Fellow, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.

Roshan Kulkarni (R)

Agronomy Department, Iowa State University, Ames, IA, USA.
ORISE Fellow, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.

Teshale Assefa (T)

Agronomy Department, Iowa State University, Ames, IA, USA.
ORISE Fellow, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.

Ye Chu (Y)

Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Tifton, GA, USA.

Josh Clevenger (J)

Mars-Wrigley Confectionery, Center for Applied Genetic Technologies, Athens, GA, USA.

Dan J O'Connor (DJ)

Peanut Company of Australia, Kingaroy, Qld, Australia.

Graeme C Wright (GC)

Peanut Company of Australia, Kingaroy, Qld, Australia.

Stanley W Dezern (SW)

University of Florida, Gainesville, FL, USA.

Gregory E MacDonald (GE)

University of Florida, Gainesville, FL, USA.

Noelle L Anglin (NL)

International Potato Center, Lima, Peru.

Ethalinda K S Cannon (EKS)

Computer Science Department, Iowa State University, Ames, IA, USA.

Peggy Ozias-Akins (P)

Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Tifton, GA, USA.

Steven B Cannon (SB)

Corn Insects and Crop Genetics Research Unit, USDA - Agricultural Research Service, 1017 Crop Genome Lab 819 Wallace Rd, Ames, IA, 50011-4014, USA. steven.cannon@ars.usda.gov.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Animals Hemiptera Insect Proteins Phylogeny Insecticides
Amaryllidaceae Alkaloids Lycoris NADPH-Ferrihemoprotein Reductase Gene Expression Regulation, Plant Plant Proteins

Classifications MeSH