Genomic regions associated with herbicide tolerance in a worldwide faba bean (Vicia faba L.) collection

Weeds represent one of the major constraints for faba bean crop. The identification of molecular markers associated with key genes imparting tolerance to herbicides can facilitate and fasten the efficient and effective development of herbicide tolerant cultivars. We phenotyped 140 faba bean genotypes in three open field experiments at two locations in Lebanon and Morocco against three herbicide treatments (T1 metribuzin 250 g ai/ha; T2 imazethapyr 75 g ai/ha; T3 untreated) and one in greenhouse where T1 and T3 were applied. The same set was genotyped using genotyping by sequencing (GBS) which yield 10,794 high quality single nucleotide polymorphisms (SNPs). ADMIXTURE software was used to infer the population structure which revealed two ancestral subpopulations. To identify SNPs associated with phenological and yield related traits under herbicide treatments, Single-trait (ST) and Multi-trait (MT) Genome Wide Association Studies (GWAS) were fitted using GEMMA software, showing 10 and 14 highly significant associations, respectively. Genomic sequences containing herbicide tolerance associated SNPs were aligned against the NCBI database using BLASTX tool using default parameters to annotate candidate genes underlying the causal variants. SNPs from acidic endochitinase, LRR receptor-like serine/threonine-protein kinase RCH1, probable serine/threonine-protein kinase NAK, malate dehydrogenase, photosystem I core protein PsaA and MYB-related protein P-like were significantly associated with herbicide tolerance traits.

Saved in:
Bibliographic Details
Main Authors: Abou-Khater, Lynn, Maalouf, Fouad, Jighly, Abdulqader, Alsamman, Alsamman M., Rubiales, Diego, Rispail, Nicolas, Hu, Jinguo, Ma, Yu, Balech, Rind, Hamwieh, Aladdin, Baum, Michael, Kumar, Shiv
Other Authors: Arab Fund for Economic and Social Development
Format: artículo biblioteca
Language:English
Published: Springer Nature 2022-01-07
Online Access:http://hdl.handle.net/10261/286772
http://dx.doi.org/10.13039/100012004
https://api.elsevier.com/content/abstract/scopus_id/85122698913
Tags: Add Tag
No Tags, Be the first to tag this record!