Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)

Lentil is a major cool-season grain legume grown in South Asia, West Asia, and North Africa. Populations in developing countries of these regions have micronutrient deficiencies; therefore, breeding programs should focus more on improving the micronutrient content of food. In the present study, a se...

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Autores principales: Singh, Akanksha, Sharma, Vinay, Dikshit, Harsh Kumar, Aski, Muraleedhar, Kumar, Harish, et al.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://hdl.handle.net/10568/171082
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author Singh, Akanksha
Sharma, Vinay
Dikshit, Harsh Kumar
Aski, Muraleedhar
Kumar, Harish
et al.
author_browse Aski, Muraleedhar
Dikshit, Harsh Kumar
Kumar, Harish
Sharma, Vinay
Singh, Akanksha
et al.
author_facet Singh, Akanksha
Sharma, Vinay
Dikshit, Harsh Kumar
Aski, Muraleedhar
Kumar, Harish
et al.
author_sort Singh, Akanksha
collection Repository of Agricultural Research Outputs (CGSpace)
description Lentil is a major cool-season grain legume grown in South Asia, West Asia, and North Africa. Populations in developing countries of these regions have micronutrient deficiencies; therefore, breeding programs should focus more on improving the micronutrient content of food. In the present study, a set of 96 diverse germplasm lines were evaluated at three different locations in India to examine the variation in iron (Fe) and zinc (Zn) concentration and identify simple sequence repeat (SSR) markers that associate with the genetic variation. The genetic variation among genotypes of the association mapping (AM) panel was characterized using a genetic distance-based and a general model-based clustering method. The model-based analysis identified six subpopulations, which satisfactorily explained the genetic structure of the AM panel. AM analysis identified three SSRs (PBALC 13, PBALC 206, and GLLC 563) associated with grain Fe concentration explaining 9% to 11% of phenotypic variation and four SSRs (PBALC 353, SSR 317–1, PLC 62, and PBALC 217) were associated with grain Zn concentration explaining 14%, to 21% of phenotypic variation. These identified SSRs exhibited consistent performance across locations. These candidate SSRs can be used in marker-assisted genetic improvement for developing Fe and Zn fortified lentil varieties. Favorable alleles and promising genotypes identified in this study can be utilized for lentil biofortification.
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spelling CGSpace1710822025-09-25T13:01:37Z Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris) Singh, Akanksha Sharma, Vinay Dikshit, Harsh Kumar Aski, Muraleedhar Kumar, Harish et al. lentils trace elements iron zinc genetic variation microsatellites genetic markers biofortification association mapping Lentil is a major cool-season grain legume grown in South Asia, West Asia, and North Africa. Populations in developing countries of these regions have micronutrient deficiencies; therefore, breeding programs should focus more on improving the micronutrient content of food. In the present study, a set of 96 diverse germplasm lines were evaluated at three different locations in India to examine the variation in iron (Fe) and zinc (Zn) concentration and identify simple sequence repeat (SSR) markers that associate with the genetic variation. The genetic variation among genotypes of the association mapping (AM) panel was characterized using a genetic distance-based and a general model-based clustering method. The model-based analysis identified six subpopulations, which satisfactorily explained the genetic structure of the AM panel. AM analysis identified three SSRs (PBALC 13, PBALC 206, and GLLC 563) associated with grain Fe concentration explaining 9% to 11% of phenotypic variation and four SSRs (PBALC 353, SSR 317–1, PLC 62, and PBALC 217) were associated with grain Zn concentration explaining 14%, to 21% of phenotypic variation. These identified SSRs exhibited consistent performance across locations. These candidate SSRs can be used in marker-assisted genetic improvement for developing Fe and Zn fortified lentil varieties. Favorable alleles and promising genotypes identified in this study can be utilized for lentil biofortification. 2017 2025-01-29T12:57:41Z 2025-01-29T12:57:41Z Journal Article https://hdl.handle.net/10568/171082 en Open Access Public Library of Science Singh, Akanksha; Sharma, Vinay; Dikshit, Harsh Kumar; Aski, Muraleedhar; Kumar, Harish; et al. 2017. Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris). PLoS One 12(11): e0188296. https://doi.org/10.1371/journal.pone.0188296
spellingShingle lentils
trace elements
iron
zinc
genetic variation
microsatellites
genetic markers
biofortification
association mapping
Singh, Akanksha
Sharma, Vinay
Dikshit, Harsh Kumar
Aski, Muraleedhar
Kumar, Harish
et al.
Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)
title Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)
title_full Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)
title_fullStr Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)
title_full_unstemmed Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)
title_short Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)
title_sort association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil lens culinaris subsp culinaris
topic lentils
trace elements
iron
zinc
genetic variation
microsatellites
genetic markers
biofortification
association mapping
url https://hdl.handle.net/10568/171082
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