Genome-wide association studies of Striga resistance in extra-early maturing quality protein maize inbred lines.
Striga hermonthica
SNP markers
marker-assisted selection
quality protein maize
Journal
G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598
Informations de publication
Date de publication:
09 02 2023
09 02 2023
Historique:
received:
20
06
2022
accepted:
03
09
2022
pubmed:
9
9
2022
medline:
14
2
2023
entrez:
8
9
2022
Statut:
ppublish
Résumé
Identification of genes associated with Striga resistance is invaluable for accelerating genetic gains in breeding for Striga resistance in maize. We conducted a genome-wide association study to identify genomic regions associated with grain yield and other agronomic traits under artificial Striga field infestation. One hundred and forty-one extra-early quality protein maize inbred lines were phenotyped for key agronomic traits. The inbred lines were also genotyped using 49,185 DArTseq markers from which 8,143 were retained for population structure analysis and genome wide-association study. Cluster analysis and population structure revealed the presence of 3 well-defined genetic groups. Using the mixed linear model, 22 SNP markers were identified to be significantly associated with grain yield, Striga damage at 10 weeks after planting, number of emerged Striga plants at 8 and 10 weeks after planting and ear aspect. The identified SNP markers would be useful for breeders for marker-assisted selection to accelerate the genetic enhancement of maize for Striga resistance in sub-Saharan Africa after validation.
Identifiants
pubmed: 36073937
pii: 6694046
doi: 10.1093/g3journal/jkac237
pmc: PMC9911053
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America.
Déclaration de conflit d'intérêts
Conflicts of interest The authors declare no conflict of interest.
Références
PLoS One. 2020 Sep 14;15(9):e0239205
pubmed: 32925954
Theor Appl Genet. 2013 Oct;126(10):2587-96
pubmed: 23884600
Nucleic Acids Res. 2001 Feb 15;29(4):E25
pubmed: 11160945
Front Plant Sci. 2019 Jun 13;10:727
pubmed: 31263469
Planta. 2017 Feb;245(2):283-295
pubmed: 27730410
Theor Appl Genet. 2021 Mar;134(3):941-958
pubmed: 33388884
PLoS One. 2018 Jun 1;13(6):e0198012
pubmed: 29856872
Bioinformatics. 2012 Sep 15;28(18):2397-9
pubmed: 22796960
Sci Rep. 2021 Jun 4;11(1):11877
pubmed: 34088972
Front Plant Sci. 2017 Dec 22;8:2190
pubmed: 29312420
Front Physiol. 2012 Sep 19;3:347
pubmed: 23049510
Science. 2010 Feb 12;327(5967):804-5
pubmed: 20150482
Sci Rep. 2021 Dec 17;11(1):24193
pubmed: 34921181
BMC Genomics. 2013 Nov 11;14:776
pubmed: 24215677
Plant Genome. 2016 Jul;9(2):
pubmed: 27898829
Front Plant Sci. 2020 Nov 02;11:572027
pubmed: 33224163
Mol Ecol. 2005 Jul;14(8):2611-20
pubmed: 15969739
Front Plant Sci. 2018 Feb 06;9:81
pubmed: 29467776
3 Biotech. 2021 May;11(5):244
pubmed: 33968587
Physiol Plant. 2022 Jan;174(1):e13629
pubmed: 35040153
PLoS One. 2021 Aug 19;16(8):e0256389
pubmed: 34411180
Front Plant Sci. 2018 Jul 09;9:966
pubmed: 30038634
Bioinformatics. 2019 Feb 1;35(3):526-528
pubmed: 30016406
Pest Manag Sci. 2009 May;65(5):603-14
pubmed: 19301299
Front Genet. 2021 Dec 21;12:807210
pubmed: 34992638
BMC Plant Biol. 2013 Dec 28;13:227
pubmed: 24373137
Plant J. 2019 Jan;97(1):8-18
pubmed: 30368955
Front Plant Sci. 2016 Jun 15;7:833
pubmed: 27379126
BMC Plant Biol. 2022 Jul 16;22(1):346
pubmed: 35842577
Plant Sci. 2012 Nov;196:125-31
pubmed: 23017907
Philos Trans R Soc Lond B Biol Sci. 2014 Feb 17;369(1639):20120284
pubmed: 24535391
BMC Plant Biol. 2020 May 11;20(1):203
pubmed: 32393176
Nat Genet. 2006 Feb;38(2):203-8
pubmed: 16380716
PLoS One. 2016 Feb 05;11(2):e0148671
pubmed: 26849364