Comparative Analysis of Multiple GWAS Results Identifies Metabolic Pathways Associated with Resistance to A. flavus Infection and Aflatoxin Accumulation in Maize.

Autor: Warburton ML; United States Department of Agriculture ARS Plant Germplasm Introduction and Testing Research Unit, Washington State University, Pullman, WA 99164, USA., Jeffers D; United States Department of Agriculture ARS Corn Host Plant Resistance Research Unit, Mississippi State, MS 39762, USA., Smith JS; United States Department of Agriculture ARS Corn Host Plant Resistance Research Unit, Mississippi State, MS 39762, USA., Scapim C; Department of Genetics and Plant Breeding, State University of Maringa-UEM, Maringa 59950, PR, Brazil., Uhdre R; Department of Crop and Soil Science, Washington State University, Pullman, WA 99164, USA., Thrash A; Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA., Williams WP; United States Department of Agriculture ARS Corn Host Plant Resistance Research Unit, Mississippi State, MS 39762, USA.
Jazyk: angličtina
Zdroj: Toxins [Toxins (Basel)] 2022 Oct 28; Vol. 14 (11). Date of Electronic Publication: 2022 Oct 28.
DOI: 10.3390/toxins14110738
Abstrakt: Aflatoxins are carcinogenic secondary metabolites produced by several species of Aspergillus , including Aspergillus flavus , an important ear rot pathogen in maize. Most commercial corn hybrids are susceptible to infection by A. flavus , and aflatoxin contaminated grain causes economic damage to farmers. The creation of inbred lines resistant to Aspergillus fungal infection or the accumulation of aflatoxins would be aided by knowing the pertinent alleles and metabolites associated with resistance in corn lines. Multiple Quantitative Trait Loci (QTL) and association mapping studies have uncovered several dozen potential genes, but each with a small effect on resistance. Metabolic pathway analysis, using the Pathway Association Study Tool (PAST), was performed on aflatoxin accumulation resistance using data from four Genome-wide Association Studies (GWAS). The present research compares the outputs of these pathway analyses and seeks common metabolic mechanisms underlying each. Genes, pathways, metabolites, and mechanisms highlighted here can contribute to improving phenotypic selection of resistant lines via measurement of more specific and highly heritable resistance-related traits and genetic gain via marker assisted or genomic selection with multiple SNPs linked to resistance-related pathways.
Databáze: MEDLINE
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