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ARS Home » Pacific West Area » Pullman, Washington » Plant Germplasm Introduction and Testing Research » Research » Publications at this Location » Publication #370548

Research Project: Management of Priority Legume, Oilseed, Vegetable, Forage Grass, Sugar, Ornamental, and Medicinal Plant Genetic Resources and Associated Information

Location: Plant Germplasm Introduction and Testing Research

Title: Integration of traditional and image-based phenotyping tools to identify QTL for Aphanomyces root rot resistance in lentil

Author
item MA, YU - WASHINGTON STATE UNIVERSITY
item MARZOUGUI, AFEF - WASHINGTON STATE UNIVERSITY
item Coyne, Clarice - Clare
item SANKARAN, SINDHUJA - WASHINGTON STATE UNIVERSITY
item MAIN, DORRIE - WASHINGTON STATE UNIVERSITY
item Porter, Lyndon
item MUGABE, DEUS - WASHINGTON STATE UNIVERSITY
item SMITCHGER, JAMIN - WASHINGTON STATE UNIVERSITY
item AMIN, MD. NURUL - WASHINGTON STATE UNIVERSITY
item FICKLIN, STEPHEN - WASHINGTON STATE UNIVERSITY
item McGee, Rebecca

Submitted to: North American Pulse Improvement Association
Publication Type: Abstract Only
Publication Acceptance Date: 9/15/2019
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Lentil (Lens culinaris ssp. culinaris Medikus), the world’s fifth largest legume crop, plays an important role in supplying food in developing countries. Aphanomyces root rot (ARR) is a soil-borne disease, has emerged as one of most devastating disease to lentil production in North America. The most effective and sustainable management of ARR is through the development and utilization of cultivars with high levels of partial resistance. No lentil cultivars resistant to ARR are currently available. In this study, we combined traditional phenotyping with digital Red-Green-Blue (RBG) imaging and unmanned aerial system-based multispectral imaging to evaluate ARR in a F6-derived recombinant inbred line (RIL) population and an association mapping population. Genotyping by sequencing (GBS) was used to discover novel SNPs. QTL mapping across two environments identified 19 QTLs associated with ARR resistance explaining from 5.2% to 12.1 % of the phenotypic variances. GWAS detected a total of 38 QTLs within 33 linkage disequilibrium (LD) blocks, explaining 1.4% to 21.4% of phenotypic variances, which also highlighted accumulation of favorable haplotypes in the most resistant accessions. Seven QTL clusters were discovered on six chromosomes and five putative genes involved in plant disease response were detected. Expression analysis revealed four of them, encoding ABC transporter A family protein, cytochrome P450 family 71 protein, chalcone-flavanone isomerase family protein, and pectin esterase, were differentially expressed between resistant and susceptible accessions. This indicates that genes involved in secondary metabolism and cell wall modification are potentially related with ARR. Our findings provide valuable insight into the genetic control of ARR. Genetic/genomic and technical resources developed here can be used to accelerate development of lentil cultivars with high levels of partial resistance to ARR.