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

Publication Overview
TitleAnalysis of an intraspecific RIL population uncovers genomic segments harbouring multiple QTL for seed relevant traits in lentil (Lens culinaris L.)
AuthorsJha R, Bohra A, Jha UC, Rana M, Chahota RK, Kumar S, Sharma TR
TypeJournal Article
Journal NamePhysiology and molecular biology of plants : an international journal of functional plant biology
Volume23
Issue3
Year2017
Page(s)675-684
CitationJha R, Bohra A, Jha UC, Rana M, Chahota RK, Kumar S, Sharma TR. Analysis of an intraspecific RIL population uncovers genomic segments harbouring multiple QTL for seed relevant traits in lentil (Lens culinaris L.). Physiology and molecular biology of plants : an international journal of functional plant biology. 2017 Jul; 23(3):675-684.

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.

Features
This publication contains information about 145 features:
Feature NameUniquenameType
Seed diameterqSDDIA.WA864909_x_Precoz.LG5.3QTL
Seed diameterqSDDIA.WA864909_x_Precoz.LG5.4QTL
Seed number per plantqSDPL.WA864909_x_Precoz.LG5QTL
Seed number per plantqSDPL.WA864909_x_Precoz.LG8QTL
Seed plumpnessqSDPLMP.WA864909_x_Precoz.LG5.1QTL
Seed plumpnessqSDPLMP.WA864909_x_Precoz.LG5.2QTL
Seed plumpnessqSDPLMP.WA864909_x_Precoz.LG5.3QTL
Seed plumpnessqSDPLMP.WA864909_x_Precoz.LG5.4QTL
Seed plumpnessqSDPLMP.WA864909_x_Precoz.LG7QTL
Seed plumpnessqSDPLMP.WA864909_x_Precoz.LG8QTL
Seed thicknessqSDTH.WA864909_x_Precoz.LG2QTL
Seed thicknessqSDTH.WA864909_x_Precoz.LG6.1QTL
Seed thicknessqSDTH.WA864909_x_Precoz.LG6.2QTL
Seed thicknessqSDTH.WA864909_x_Precoz.LG8.1QTL
Seed thicknessqSDTH.WA864909_x_Precoz.LG8.2QTL
Seed thicknessqSDTH.WA864909_x_Precoz.LG8.3QTL
Seed weightqSDWGT.WA864909_x_Precoz.LG4QTL
Seed weightqSDWGT.WA864909_x_Precoz.LG5.1QTL
Seed weightqSDWGT.WA864909_x_Precoz.LG5.2QTL
Seed weightqSDWGT.WA864909_x_Precoz.LG5.3QTL

Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
Lentil-SeedTrait-Jha-2017
Featuremaps
This publication contains information about 1 maps:
Map Name
Lentil-WA864909_x_Precoz-RIL-2017
Stocks
This publication contains information about 3 stocks:
Stock NameUniquenameType
WA864909WA864909accession
PrecozPrecozaccession
WA864909_x_PrecozWA864909_x_Precozpopulation
Properties
Additional details for this publication include:
Property NameValue
DOI10.1007/s12298-017-0438-7
Elocation10.1007/s12298-017-0438-7
Publication ModelPrint-Electronic
ISSN0971-5894
pISSN0971-5894
Publication Date2017 Jul
Journal AbbreviationPhysiol Mol Biol Plants
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryIndia