Literature DB >> 29230682

Association of functional markers with flowering time in lentil.

Jitendra Kumar1, Sunanda Gupta2, Revanappa S Biradar2, Priyanka Gupta2, Sonali Dubey2, Narendra Pratap Singh2.   

Abstract

In the present study, a diverse panel of 96 accessions of lentil germplasm was used to study flowering time over environments and to identify simple sequence repeat markers associated with flowering time through association mapping. The study showed high broad sense heritability estimate (h 2 bs=0.93) for flowering time in lentil. Screening of 534 SSR markers resulted in an identification of 75 SSR polymorphic markers (13.9%) across studied genotypes. These markers amplified 266 loci and generated 697 alleles ranging from two to 16 alleles per locus. Model-based cluster analysis used for the determination of population structure resulted in the identification of two distinct subpopulations. Distribution of flowering time was ranged from 40 to 70 days in subpopulation I and from 54 to 69 days in subpopulation II and did not skew either late or early flowering time within a subpopulation. No admixture was observed within the subpopulations. Use of the most accepted maximum likelihood model (P3D mixed linear model with optimum compression) of MTA analysis showed significant association of 26 SSR markers with flowering time at <0.05 probability. The percent of phenotypic explained by each associated marker with flowering time ranged from 2.1 to 21.8% and identified QTLs for flowering time explaining high phenotypic variation across the environments (10.7-21.8%) or in a particular environment (10.2-21.4%). In the present study, 13 EST-SSR showed significant association with flowering time and explained large phenotypic variation (2.3-21.8%) compared to genomic SSR markers (2.1-10.2%). Hence, these markers can be used as functional markers in the lentil breeding program to develop short duration cultivars.

Entities:  

Keywords:  Association mapping; Flowering time; Functional markers; Genetic diversity; Lentil; Population structure

Mesh:

Substances:

Year:  2017        PMID: 29230682     DOI: 10.1007/s13353-017-0419-0

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  44 in total

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3.  Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-26       Impact factor: 11.205

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Authors:  Priyanka Verma; Tilak R Sharma; Prem S Srivastava; M Z Abdin; Sabhyata Bhatia
Journal:  Mol Biol Rep       Date:  2014-06-04       Impact factor: 2.316

6.  Characterization of responses to temperature and photoperiod for time to flowering in a world lentil collection.

Authors:  W Erskine; R H Ellis; R J Summerfield; E H Roberts; A Hussain
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7.  Analysis of molecular diversity, population structure and linkage disequilibrium in a worldwide survey of cultivated barley germplasm (Hordeum vulgare L.).

Authors:  Lyudmyla V Malysheva-Otto; Martin W Ganal; Marion S Röder
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8.  Assessment of genetic variation within a global collection of lentil (Lens culinaris Medik.) cultivars and landraces using SNP markers.

Authors:  Maria Lombardi; Michael Materne; Noel O I Cogan; Matthew Rodda; Hans D Daetwyler; Anthony T Slater; John W Forster; Sukhjiwan Kaur
Journal:  BMC Genet       Date:  2014-12-24       Impact factor: 2.797

9.  Global wild annual Lens collection: a potential resource for lentil genetic base broadening and yield enhancement.

Authors:  Mohar Singh; Ishwari Singh Bisht; Sandeep Kumar; Manoranjan Dutta; Kailash Chander Bansal; Moreshwar Karale; Ashutosh Sarker; Ahmad Amri; Shiv Kumar; Swapan Kumar Datta
Journal:  PLoS One       Date:  2014-09-25       Impact factor: 3.240

10.  EcoTILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpea.

Authors:  Deepak Bajaj; Rishi Srivastava; Manoj Nath; Shailesh Tripathi; Chellapilla Bharadwaj; Hari D Upadhyaya; Akhilesh K Tyagi; Swarup K Parida
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  3 in total

1.  Association mapping for mungbean yellow mosaic India virus resistance in mungbean (Vigna radiata L. Wilczek).

Authors:  Chandra Mohan Singh; Aditya Pratap; Sanjeev Gupta; Revanappa S Biradar; Narendra Pratap Singh
Journal:  3 Biotech       Date:  2020-01-07       Impact factor: 2.406

Review 2.  Prospects of next generation sequencing in lentil breeding.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta
Journal:  Mol Biol Rep       Date:  2020-10-10       Impact factor: 2.316

Review 3.  Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.

Authors:  Manish Tiwari; Baljinder Singh; Doohong Min; S V Krishna Jagadish
Journal:  Front Plant Sci       Date:  2022-05-09       Impact factor: 6.627

  3 in total

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