Literature DB >> 36271945

Identification and validation of a key genomic region on chromosome 6 for resistance to Fusarium stalk rot in tropical maize.

Zerka Rashid1, Veerendra Babu1, Shyam Sundar Sharma2, Pradeep Kumar Singh1,3, Sudha Krishnan Nair4.   

Abstract

KEY MESSAGE: A key genomic region was identified for resistance to FSR at 168 Mb on chromosome 6 in GWAS and haplotype regression analysis, which was validated by QTL mapping in two populations. Fusarium stalk rot (FSR) of maize is an economically important post-flowering stalk rot (PFSR) disease caused by Fusarium verticillioides. The pathogen invades the plant individually, or in combination with other stalk rot pathogens or secondary colonizers, thereby making it difficult to make accurate selection for resistance. For identification and validation of genomic regions associated with FSR resistance, a genome-wide association study (GWAS) was conducted with 342 maize lines. The panel was screened for FSR in three environments using standard artificial inoculation methodology. GWAS using the mixed linear model corrected for population structure and kinship was done, in which 290,626 SNPs from genotyping-by-sequencing were used. A total of 7 SNPs, five on chromosome 6 showing strong LD at 168 Mb, were identified to be associated with FSR. Haplotype regression analysis identified 32 haplotypes with a significant effect on the trait. In a QTL mapping experiment in two populations for validating the identified variants, QTLs were identified with confidence intervals having overlapped physical coordinates in both the populations on chromosome 6, which was closely located to the GWAS-identified variants on chromosome 6. It makes this genomic region a crucial one to further investigate the possibility of developing trait markers for deployment in breeding pipelines. It was noted that previously reported QTLs for other stalk rots in maize mapped within the same physical intervals of several haplotypes identified for FSR resistance in this study. The possibility of QTLs controlling broad-spectrum resistance for PFSR in general requires further investigation.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36271945     DOI: 10.1007/s00122-022-04239-0

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.574


  37 in total

1.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

2.  The power of identity-by-state methods for linkage analysis.

Authors:  D T Bishop; J A Williamson
Journal:  Am J Hum Genet       Date:  1990-02       Impact factor: 11.025

3.  Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.

Authors:  L Excoffier; M Slatkin
Journal:  Mol Biol Evol       Date:  1995-09       Impact factor: 16.240

4.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

5.  Maize association population: a high-resolution platform for quantitative trait locus dissection.

Authors:  Sherry A Flint-Garcia; Anne-Céline Thuillet; Jianming Yu; Gael Pressoir; Susan M Romero; Sharon E Mitchell; John Doebley; Stephen Kresovich; Major M Goodman; Edward S Buckler
Journal:  Plant J       Date:  2005-12       Impact factor: 6.417

Review 6.  Plant receptor-like serine threonine kinases: roles in signaling and plant defense.

Authors:  Ahmed J Afzal; Andrew J Wood; David A Lightfoot
Journal:  Mol Plant Microbe Interact       Date:  2008-05       Impact factor: 4.171

7.  A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.

Authors:  Robert J Elshire; Jeffrey C Glaubitz; Qi Sun; Jesse A Poland; Ken Kawamoto; Edward S Buckler; Sharon E Mitchell
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

Review 8.  Biological control of Fusarium moniliforme in maize.

Authors:  C W Bacon; I E Yates; D M Hinton; F Meredith
Journal:  Environ Health Perspect       Date:  2001-05       Impact factor: 9.031

9.  Genome-wide association study (GWAS) reveals the genetic architecture of four husk traits in maize.

Authors:  Zhenhai Cui; Jinhong Luo; Chuangye Qi; Yanye Ruan; Jing Li; Ao Zhang; Xiaohong Yang; Yan He
Journal:  BMC Genomics       Date:  2016-11-21       Impact factor: 3.969

10.  TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline.

Authors:  Jeffrey C Glaubitz; Terry M Casstevens; Fei Lu; James Harriman; Robert J Elshire; Qi Sun; Edward S Buckler
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

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