ArticleFrontiers in plant science2016
Identification of Quantitative Trait Loci Controlling Root and Shoot Traits Associated with Drought Tolerance in a Lentil (Lens culinaris Medik.) Recombinant Inbred Line Population.
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 55 citations in OpenAlex.
- From phenotyping to genetic mapping: identifying water-stress adaptations in legume root traits.BMC plant biology · 2024Review
- Integrated Bulk Segregant Analysis, Fine Mapping, and Transcriptome Revealed QTLs and Candidate Genes Associated with Drought Adaptation in Wild Watermelon.International journal of molecular sciences · 2023Article
- The Prospects of gene introgression from crop wild relatives into cultivated lentil for climate change mitigation.Frontiers in plant science · 2023Review
- Recent advancement in OMICS approaches to enhance abiotic stress tolerance in legumes.Frontiers in plant science · 2022Review
- Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.Frontiers in plant science · 2022Review
- Root Trait Variation in Lentil (Plants (Basel, Switzerland) · 2021Article
- Review
- Assessment of root phenotypes in mungbean mini-core collection (MMC) from the World Vegetable Center (AVRDC) Taiwan.PloS one · 2021Article
- Dissecting the Genetic Architecture of Aphanomyces Root Rot Resistance in Lentil by QTL Mapping and Genome-Wide Association Study.International journal of molecular sciences · 2020Article
- Comparative RNA-seq analysis of the drought-sensitive lentil (Lens culinaris) root and leaf under short- and long-term water deficits.Functional & integrative genomics · 2019Article
- Advanced Imaging for Quantitative Evaluation of Aphanomyces Root Rot Resistance in Lentil.Frontiers in plant science · 2019Article
- Validation of reference genes for qRT-PCR data normalisation in lentil (Physiology and molecular biology of plants : an international journal of functional plant biology · 2019Article
- An Automated Image Analysis Pipeline Enables Genetic Studies of Shoot and Root Morphology in Carrot (Frontiers in plant science · 2018Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drought is one of the major abiotic stresses limiting lentil productivity in rainfed production systems. Specific rooting patterns can be associated with drought avoidance mechanisms that can be used in lentil breeding programs. In all, 252 co-dominant and dominant markers were used for Quantitative Trait Loci (QTL) analysis on 132 lentil recombinant inbred lines based on greenhouse experiments for root and shoot traits during two seasons under progressive drought-stressed conditions. Eighteen QTLs controlling a total of 14 root and shoot traits were identified. A QTL-hotspot genomic region related to a number of root and shoot characteristics associated with drought tolerance such as dry root biomass, root surface area, lateral root number, dry shoot biomass and shoot length was identified. Interestingly, a QTL (QRSratioIX-2.30) related to root-shoot ratio, an important trait for drought avoidance, explaining the highest phenotypic variance of 27.6 and 28.9% for the two consecutive seasons, respectively, was detected. This QTL was closed to the co-dominant SNP marker TP6337 and also flanked by the two SNP TP518 and TP1280. An important QTL (QLRNIII-98.64) related to lateral root number was found close to TP3371 and flanked by TP5093 and TP6072 SNP markers. Also, a QTL (QSRLIV-61.63) associated with specific root length was identified close to TP1873 and flanked by F7XEM6b SRAP marker and TP1035 SNP marker. These two QTLs were detected in both seasons. Our results could be used for marker-assisted selection in lentil breeding programs targeting root and shoot characteristics conferring drought avoidance as an efficient alternative to slow and labor-intensive conventional breeding methods.
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