Evidence map›Paper›PMID 39103778›Full record

ArticleBMC genomics2024

Insights into maydis leaf blight resistance in maize: a comprehensive genome-wide association study in sub-tropics of India.

Wajhat- Un- Nisa, Surinder Sandhu, Sudha Krishnan Nair, Harleen Kaur, Ashok Kumar, Zerka Rashid, Gajanan Saykhedkar, Yogesh Vikal

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Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wajhat- Un- NisaDept. of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
Surinder SandhuDept. of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India. surindersandhu@pau.edu.
Sudha Krishnan NairInternational Maize and Wheat Improvement Centre (CIMMYT), Hyderabad, India.
Harleen KaurDept. of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
Ashok KumarRegional Research Station, Punjab Agricultural University, Gurdaspur, Ludhiana, India.
Zerka RashidInternational Maize and Wheat Improvement Centre (CIMMYT), Hyderabad, India.
Gajanan SaykhedkarInternational Maize and Wheat Improvement Centre (CIMMYT), Hyderabad, India.
Yogesh VikalSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the face of contemporary climatic vulnerabilities and escalating global temperatures, the prevalence of maydis leaf blight (MLB) poses a potential threat to maize production. This study endeavours to discern marker-trait associations and elucidate the candidate genes that underlie resistance to MLB in maize by employing a diverse panel comprising 336 lines. The panel was screening for MLB across four environments, employing standard artificial inoculation techniques. Genome-wide association studies (GWAS) and haplotype analysis were conducted utilizing a total of 128,490 SNPs obtained from genotyping-by-sequencing (GBS).

resultsGWAS identified 26 highly significant SNPs associated with MLB resistance, among the markers examined. Seven of these SNPs, reported in novel chromosomal bins (9.06, 5.01, 9.01, 7.04, 4.06, 1.04, and 6.05) were associated with genes: bzip23, NAGS1, CDPK7, aspartic proteinase NEP-2, VQ4, and Wun1, which were characterized for their roles in diminishing fungal activity, fortifying defence mechanisms against necrotrophic pathogens, modulating phyto-hormone signalling, and orchestrating oxidative burst responses. Gene mining approach identified 22 potential candidate genes associated with SNPs due to their functional relevance to resistance against necrotrophic pathogens. Notably, bin 8.06, which hosts five SNPs, showed a connection to defense-regulating genes against MLB, indicating the potential formation of a functional gene cluster that triggers a cascade of reactions against MLB. In silico studies revealed gene expression levels exceeding ten fragments per kilobase million (FPKM) for most genes and demonstrated coexpression among all candidate genes in the coexpression network. Haplotype regression analysis revealed the association of 13 common significant haplotypes at Bonferroni ≤ 0.05. The phenotypic variance explained by these significant haplotypes ranged from low to moderate, suggesting a breeding strategy that combines multiple resistance alleles to enhance resistance to MLB. Additionally, one particular haplotype block (Hap_8.3) was found to consist of two SNPs (S8_152715134, S8_152460815) identified in GWAS with 9.45% variation explained (PVE).

conclusionThe identified SNPs/ haplotypes associated with the trait of interest contribute to the enrichment of allelic diversity and hold direct applicability in Genomics Assisted Breeding for enhancing MLB resistance in maize.

Indexed as

Disease ResistanceGenome-Wide Association StudyPlant DiseasesPolymorphism, Single NucleotideZea maysHaplotypesIndiaPhenotypePlant LeavesQuantitative Trait LociGenome wide association studiesHaplotype analysisMaizeMaize leaf blightSNP

Identifiers

PMID39103778
PMCPMC11299311

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.