Construction of a high-density interspecific (Lens culinaris x L. odemensis) genetic map based on functional markers for mapping morphological and agronomical traits, and QTLs affecting resistance to Ascochyta in lentil

PLoS One. 2019 Mar 27;14(3):e0214409. doi: 10.1371/journal.pone.0214409. eCollection 2019.

Abstract

Usage of high-throughput sequencing approaches allow for the generation and characterization of reference transcriptome datasets that support gene-based marker discovery, which in turn can be used to build genetic maps among other purposes. We have obtained a transcriptome assembly including 49,453 genes for the lentil (Lens culinaris Medik.) cultivar Alpo using RNAseq methodology. This transcriptome was used as reference to obtain 6,306 quality polymorphic markers (SNPs and short indels) analyzing genotype data from a RIL population at F7 generation derived from the interspecific cross between L. culinaris cv. Alpo and L. odemensis accession ILWL235. L. odemensis is a wild species included in the secondary gene pool and can be used as a source for gene introgression in lentil breeding programs. Marker data were used to construct the first genetic interspecific map between these two species. This linkage map has been used to precisely identify regions of the CDC-Redberry lentil draft genome in which the candidate genes for some qualitative traits (seed coat spotting pattern, flower color, and stem pigmentation) could be located. The genome regions corresponding to a significant single quantitative trait locus (QTL) controlling "time to flowering" located in chromosome 6 and three QTLs regulating seed size and positioned in chromosomes 1 and 5 (two QTLs) were also identified. Significant QTLs for Ascochyta blight resistance in lentil were mapped to chromosome 6 in the genome region or close to it where QTLs for Ascochyta blight resistance have previously been reported.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromosome Mapping / methods*
  • Chromosomes, Plant / genetics
  • Disease Resistance*
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation, Plant
  • High-Throughput Nucleotide Sequencing / methods
  • Lens Plant / genetics
  • Lens Plant / microbiology*
  • Plant Diseases / genetics
  • Plant Diseases / microbiology
  • Plant Proteins / genetics
  • Quantitative Trait Loci*
  • Saccharomycetales / pathogenicity
  • Sequence Analysis, RNA

Substances

  • Plant Proteins

Grants and funding

This project was financed by the Consejería de Educación, Junta de Castilla y León, Spain (grant LE005G18) and the Spanish Ministerio de Economía y Competitividad (grant AGL2013-44714-R, co-financed with FEDER funds).