Genome-wide association study of Striga resistance in early maturing white tropical maize inbred lines.
DArTseq markers
Genome-wide association study
Marker-assisted selection
Striga hermonthica
Striga resistance
Zea mays L
Journal
BMC plant biology
ISSN: 1471-2229
Titre abrégé: BMC Plant Biol
Pays: England
ID NLM: 100967807
Informations de publication
Date de publication:
11 May 2020
11 May 2020
Historique:
received:
24
10
2019
accepted:
24
03
2020
entrez:
13
5
2020
pubmed:
13
5
2020
medline:
12
1
2021
Statut:
epublish
Résumé
Striga hermonthica (Benth.) parasitism militates against increased maize production and productivity in savannas of sub-Saharan Africa (SSA). Identification of Striga resistance genes is important in developing genotypes with durable resistance. So far, there is only one report on the existence of QTL for Striga resistance on chromosome 6 of maize. The objective of this study was to identify genomic regions significantly associated with grain yield and other agronomic traits under artificial Striga field infestation. A panel of 132 early-maturing maize inbreds were phenotyped for key agronomic traits under Striga-infested and Striga-free conditions. The inbred lines were also genotyped using 47,440 DArTseq markers from which 7224 markers were retained for population structure analysis and genome-wide association study (GWAS). The inbred lines were grouped into two major clusters based on structure analysis as well as the neighbor-joining hierarchical clustering. A total of 24 SNPs significantly associated with grain yield, Striga damage at 8 and 10 weeks after planting (WAP), ears per plant and ear aspect under Striga infestation were detected. Under Striga-free conditions, 11 SNPs significantly associated with grain yield, number of ears per plant and ear aspect were identified. Three markers physically located close to the putative genes GRMZM2G164743 (bin 10.05), GRMZM2G060216 (bin 3.06) and GRMZM2G103085 (bin 5.07) were detected, linked to grain yield, Striga damage at 8 and 10 WAP and number of ears per plant under Striga infestation, explaining 9 to 42% of the phenotypic variance. Furthermore, the S9_154,978,426 locus on chromosome 9 was found at 2.61 Mb close to the ZmCCD1 gene known to be associated with the reduction of strigolactone production in the maize roots. Presented in this study is the first report of the identification of significant loci on chromosomes 9 and 10 of maize that are closely linked to ZmCCD1 and amt5 genes, respectively and may be related to plant defense mechanisms against Striga parasitism. After validation, the identified loci could be targets for breeders for marker-assisted selection (MAS) to accelerate genetic enhancement of maize for Striga resistance in the tropics, particularly in SSA, where the parasitic weed is endemic.
Sections du résumé
BACKGROUND
BACKGROUND
Striga hermonthica (Benth.) parasitism militates against increased maize production and productivity in savannas of sub-Saharan Africa (SSA). Identification of Striga resistance genes is important in developing genotypes with durable resistance. So far, there is only one report on the existence of QTL for Striga resistance on chromosome 6 of maize. The objective of this study was to identify genomic regions significantly associated with grain yield and other agronomic traits under artificial Striga field infestation. A panel of 132 early-maturing maize inbreds were phenotyped for key agronomic traits under Striga-infested and Striga-free conditions. The inbred lines were also genotyped using 47,440 DArTseq markers from which 7224 markers were retained for population structure analysis and genome-wide association study (GWAS).
RESULTS
RESULTS
The inbred lines were grouped into two major clusters based on structure analysis as well as the neighbor-joining hierarchical clustering. A total of 24 SNPs significantly associated with grain yield, Striga damage at 8 and 10 weeks after planting (WAP), ears per plant and ear aspect under Striga infestation were detected. Under Striga-free conditions, 11 SNPs significantly associated with grain yield, number of ears per plant and ear aspect were identified. Three markers physically located close to the putative genes GRMZM2G164743 (bin 10.05), GRMZM2G060216 (bin 3.06) and GRMZM2G103085 (bin 5.07) were detected, linked to grain yield, Striga damage at 8 and 10 WAP and number of ears per plant under Striga infestation, explaining 9 to 42% of the phenotypic variance. Furthermore, the S9_154,978,426 locus on chromosome 9 was found at 2.61 Mb close to the ZmCCD1 gene known to be associated with the reduction of strigolactone production in the maize roots.
CONCLUSIONS
CONCLUSIONS
Presented in this study is the first report of the identification of significant loci on chromosomes 9 and 10 of maize that are closely linked to ZmCCD1 and amt5 genes, respectively and may be related to plant defense mechanisms against Striga parasitism. After validation, the identified loci could be targets for breeders for marker-assisted selection (MAS) to accelerate genetic enhancement of maize for Striga resistance in the tropics, particularly in SSA, where the parasitic weed is endemic.
Identifiants
pubmed: 32393176
doi: 10.1186/s12870-020-02360-0
pii: 10.1186/s12870-020-02360-0
pmc: PMC7212567
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
203Subventions
Organisme : Bill and Melinda Gates Foundation
ID : OPP1134248
Références
J Chem Ecol. 1986 Feb;12(2):561-79
pubmed: 24306796
Front Plant Sci. 2016 Aug 09;7:1191
pubmed: 27555860
G3 (Bethesda). 2018 Mar 2;8(3):1049-1065
pubmed: 29378820
BMC Plant Biol. 2012 Jan 27;12:16
pubmed: 22284310
Curr Opin Biotechnol. 2006 Apr;17(2):155-60
pubmed: 16504497
Plant J. 2019 Jan;97(1):8-18
pubmed: 30368955
New Phytol. 2014 Apr;202(2):531-41
pubmed: 24483232
Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):4471-4476
pubmed: 28396420
PLoS One. 2018 Jun 1;13(6):e0198012
pubmed: 29856872
Plant Signal Behav. 2014;9(8):e29376
pubmed: 25763619
Genetics. 2000 Jun;155(2):945-59
pubmed: 10835412
Annu Rev Phytopathol. 2010;48:93-117
pubmed: 20687831
Int J Mol Sci. 2018 Dec 05;19(12):
pubmed: 30563149
BMC Genomics. 2016 Aug 31;17:697
pubmed: 27581193
Plant Cell Physiol. 2013 Sep;54(9):1515-24
pubmed: 23832511
PLoS One. 2019 Apr 9;14(4):e0214810
pubmed: 30964890
PLoS One. 2019 Mar 6;14(3):e0212925
pubmed: 30840677
PLoS One. 2015 Jun 02;10(6):e0127831
pubmed: 26035591
Mol Ecol. 2005 Jul;14(8):2611-20
pubmed: 15969739
Science. 2009 Nov 20;326(5956):1112-5
pubmed: 19965430
Front Plant Sci. 2018 Feb 06;9:81
pubmed: 29467776
Nature. 2017 Jun 22;546(7659):524-527
pubmed: 28605751
PLoS One. 2018 Jun 28;13(6):e0199539
pubmed: 29953466
PLoS One. 2009 Dec 24;4(12):e8451
pubmed: 20041112
Bioinformatics. 2007 Oct 1;23(19):2633-5
pubmed: 17586829
Nat Genet. 2011 Feb;43(2):159-62
pubmed: 21217756
New Phytol. 2013 May;198(3):853-65
pubmed: 23461653
Planta. 2008 Oct;228(5):789-801
pubmed: 18716794
Plant Cell. 2007 Jul;19(7):2156-68
pubmed: 17630277
New Phytol. 2013 Aug;199(3):639-49
pubmed: 24010138
PLoS Pathog. 2018 Jan 11;14(1):e1006731
pubmed: 29324906
Front Plant Sci. 2019 Jan 30;9:1919
pubmed: 30761177
Front Plant Sci. 2017 Jul 06;8:1189
pubmed: 28729877
PLoS One. 2017 Feb 24;12(2):e0171692
pubmed: 28234945
BMC Plant Biol. 2019 May 20;19(1):206
pubmed: 31109290
Genes (Basel). 2018 Oct 23;9(11):
pubmed: 30360561
Plant Sci. 2012 Mar;184:54-62
pubmed: 22284710
Nat Genet. 2006 Feb;38(2):203-8
pubmed: 16380716
PLoS One. 2016 Feb 05;11(2):e0148671
pubmed: 26849364