Literature DB >> 28878505

Analysis of an intraspecific RIL population uncovers genomic segments harbouring multiple QTL for seed relevant traits in lentil (Lens culinaris L.).

Rintu Jha1, Abhishek Bohra2, Uday Chand Jha2, Maneet Rana3, Rakesh Kumar Chahota1, Shiv Kumar4, Tilak Raj Sharma1.   

Abstract

Improving seed related traits remains key objective in lentil breeding. In recent years, genomic resources have shown great promise to accelerate crop improvement. However, limited genomic resources in lentil greatly restrict the use of genomics assisted breeding. The present investigation aims to build an intraspecific genetic linkage map and identify the QTL associated with important seed relevant traits using 94 recombinant inbreds (WA 8649090 × Precoz). A total of 288 polymorphic DNA markers including simple sequence repeat (SSR), inter simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD) were assayed on mapping population. The resultant genetic linkage map comprised 220 loci spanning 604.2 cM of the lentil genome, with average inter-marker distance of 2.74 cM. QTL mapping in this RIL population uncovered a total of 18 QTL encompassing nine major and nine minor QTL. All major QTL were detected for seed related traits viz., seed diameter (SD), seed thickness (ST), seed weight (SW) and seed plumpness (SP) across two locations. A considerable proportion of the phenotypic variation (PV) was accounted to these QTL. For instance, one major QTL on LG5 controlling SW (QTL 15) explained 50% PV in one location, while the same QTL accounted for 34.18% PV in other location. Importantly, the genomic region containing multiple QTL for different seed traits was mapped to a 17-cM region on LG5. The genomic region harbouring QTL for multiple traits opens up exciting opportunities for genomics assisted improvement of lentil.

Entities:  

Keywords:  Genome; Lentil; Linkage map; Molecular marker; QTL; Trait

Year:  2017        PMID: 28878505      PMCID: PMC5567699          DOI: 10.1007/s12298-017-0438-7

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  14 in total

1.  An intersubspecific genetic map of Lens.

Authors:  Y Durán; R Fratini; P García; M Pérez de la Vega
Journal:  Theor Appl Genet       Date:  2003-12-16       Impact factor: 5.699

2.  Multi-environment mapping and meta-analysis of 100-seed weight in soybean.

Authors:  Ya-Nan Sun; Jun-Bo Pan; Xiang-Lin Shi; Xiang-Yu Du; Qiong Wu; Zhao-Ming Qi; Hong-Wei Jiang; Da-Wei Xin; Chun-Yan Liu; Guo-Hua Hu; Qing-Shan Chen
Journal:  Mol Biol Rep       Date:  2012-06-28       Impact factor: 2.316

3.  A genetic linkage map of Lens sp. based on microsatellite and AFLP markers and the localization of fusarium vascular wilt resistance.

Authors:  A Hamwieh; S M Udupa; W Choumane; A Sarker; F Dreyer; C Jung; M Baum
Journal:  Theor Appl Genet       Date:  2005-01-14       Impact factor: 5.699

4.  Comprehensive structural analysis of the genome of red clover (Trifolium pratense L.).

Authors:  Shusei Sato; Sachiko Isobe; Erika Asamizu; Nobuko Ohmido; Ryohei Kataoka; Yasukazu Nakamura; Takakazu Kaneko; Nozomi Sakurai; Kenji Okumura; Irina Klimenko; Shigemi Sasamoto; Tsuyuko Wada; Akiko Watanabe; Mitsuyo Kohara; Tsunakazu Fujishiro; Satoshi Tabata
Journal:  DNA Res       Date:  2006-01-11       Impact factor: 4.458

5.  Construction of an intraspecific linkage map of lentil ( Lens culinaris ssp. culinaris).

Authors:  R Ford; P W J Taylor
Journal:  Theor Appl Genet       Date:  2003-06-26       Impact factor: 5.699

6.  Construction of a genetic linkage map and genetic analysis of domestication related traits in mungbean (Vigna radiata).

Authors:  Takehisa Isemura; Akito Kaga; Satoshi Tabata; Prakit Somta; Peerasak Srinives; Takehiko Shimizu; Uken Jo; Duncan A Vaughan; Norihiko Tomooka
Journal:  PLoS One       Date:  2012-08-02       Impact factor: 3.240

7.  Construction of a Genetic Linkage Map and Identification of QTLs for Seed Weight and Seed Size Traits in Lentil (Lens culinaris Medik.).

Authors:  Priyanka Verma; Richa Goyal; R K Chahota; Tilak R Sharma; M Z Abdin; Sabhyata Bhatia
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

Review 8.  Genomics-assisted breeding in four major pulse crops of developing countries: present status and prospects.

Authors:  Abhishek Bohra; Manish K Pandey; Uday C Jha; Balwant Singh; Indra P Singh; Dibendu Datta; Sushil K Chaturvedi; N Nadarajan; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2014-04-08       Impact factor: 5.699

9.  Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.).

Authors:  Rajeev K Varshney; Mahendar Thudi; Spurthi N Nayak; Pooran M Gaur; Junichi Kashiwagi; Lakshmanan Krishnamurthy; Deepa Jaganathan; Jahnavi Koppolu; Abhishek Bohra; Shailesh Tripathi; Abhishek Rathore; Aravind K Jukanti; Veera Jayalakshmi; Anilkumar Vemula; S J Singh; Mohammad Yasin; M S Sheshshayee; K P Viswanatha
Journal:  Theor Appl Genet       Date:  2013-12-11       Impact factor: 5.699

Review 10.  Emerging paradigms in genomics-based crop improvement.

Authors:  Abhishek Bohra
Journal:  ScientificWorldJournal       Date:  2013-11-17
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  1 in total

Review 1.  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

  1 in total

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