Literature DB >> 33668850

Application of Genomics to Understand Salt Tolerance in Lentil.

Ruwani Dissanayake1,2, Noel O I Cogan1,3, Kevin F Smith2,4, Sukhjiwan Kaur1.   

Abstract

Soil salinity is a major abiotic stress, limiting lentil productivity worldwide. Understanding the genetic basis of salt tolerance is vital to develop tolerant varieties. A diversity panel consisting of 276 lentil accessions was screened in a previous study through traditional and image-based approaches to quantify growth under salt stress. Genotyping was performed using two contrasting methods, targeted (tGBS) and transcriptome (GBS-t) genotyping-by-sequencing, to evaluate the most appropriate methodology. tGBS revealed the highest number of single-base variants (SNPs) (c. 56,349), and markers were more evenly distributed across the genome compared to GBS-t. A genome-wide association study (GWAS) was conducted using a mixed linear model. Significant marker-trait associations were observed on Chromosome 2 as well as Chromosome 4, and a range of candidate genes was identified from the reference genome, the most plausible being potassium transporters, which are known to be involved in salt tolerance in related species. Detailed mineral composition performed on salt-treated and control plant tissues revealed the salt tolerance mechanism in lentil, in which tolerant accessions do not transport Na+ ions around the plant instead localize within the root tissues. The pedigree analysis identified two parental accessions that could have been the key sources of tolerance in this dataset.

Entities:  

Keywords:  Lens culinaris; genome-wide association study; genotyping-by-sequencing; haplotypes; lentil; linkage disequilibrium; pedigree; salt tolerance; salt tolerance mechanisms

Year:  2021        PMID: 33668850      PMCID: PMC7996261          DOI: 10.3390/genes12030332

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  45 in total

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4.  Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.

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5.  Generation and Characterisation of a Reference Transcriptome for Lentil (Lens culinaris Medik.).

Authors:  Shimna Sudheesh; Preeti Verma; John W Forster; Noel O I Cogan; Sukhjiwan Kaur
Journal:  Int J Mol Sci       Date:  2016-11-12       Impact factor: 5.923

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7.  Genetic Dissection and Identification of Candidate Genes for Salinity Tolerance Using Axiom®CicerSNP Array in Chickpea.

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8.  Genome-wide association study and candidate gene analysis of alkalinity tolerance in japonica rice germplasm at the seedling stage.

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Review 10.  A Guide to Carrying Out a Phylogenomic Target Sequence Capture Project.

Authors:  Tobias Andermann; Maria Fernanda Torres Jiménez; Pável Matos-Maraví; Romina Batista; José L Blanco-Pastor; A Lovisa S Gustafsson; Logan Kistler; Isabel M Liberal; Bengt Oxelman; Christine D Bacon; Alexandre Antonelli
Journal:  Front Genet       Date:  2020-02-21       Impact factor: 4.599

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  1 in total

1.  Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.

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Journal:  Front Plant Sci       Date:  2022-03-03       Impact factor: 5.753

  1 in total

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