A consensus linkage map of lentil based on DArT markers from three RIL mapping populations

Abstract

BackgroundLentil (Lens culinaris ssp. culinaris Medikus) is a diploid (2n = 2x = 14), self-pollinating grain legume with a haploid genome size of about 4 Gbp and is grown throughout the world with current annual production of 4.9 million tonnes.Materials and methodsA consensus map of lentil (Lens culinaris ssp. culinaris Medikus) was constructed using three different lentils recombinant inbred line (RIL) populations, including “CDC Redberry” x “ILL7502” (LR8), “ILL8006” x “CDC Milestone” (LR11) and “PI320937” x “Eston” (LR39).ResultsThe lentil consensus map was composed of 9,793 DArT markers, covered a total of 977.47 cM with an average distance of 0.10 cM between adjacent markers and constructed 7 linkage groups representing 7 chromosomes of the lentil genome. The consensus map had no gap larger than 12.67 cM and only 5 gaps were found to be between 12.67 cM and 6.0 cM (on LG3 and LG4). The localization of the SNP markers on the lentil consensus map were in general consistent with their localization on the three individual genetic linkage maps and the lentil consensus map has longer map length, higher marker density and shorter average distance between the adjacent markers compared to the component linkage maps.ConclusionThis high-density consensus map could provide insight into the lentil genome. The consensus map could also help to construct a physical map using a Bacterial Artificial Chromosome library and map based cloning studies. Sequence information of DArT may help localization of orientation scaffolds from Next Generation Sequencing data.

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

“…Several genetic linkage maps of lentil (summarized recently by Ates et al [36]) have been constructed using mapping populations mostly obtained by crossing cultivated lentil varieties or accessions. Intersubspecific maps developed from crosses using L .…”

“…The new high throughput technologies in genomics and transcriptomics provide an unprecedented level of insight into the structural diversity across crop genomes and afford thousands of genetic markers, therefore allowing to obtain highly saturated genetic maps providing a better location of QTLs and other genes of interest. Genetic maps based on markers derived from high throughput sequencing techniques have been developed in lentil [35,36,19,37,38,24]. Several reviews on lentil genetic maps obtained from morphological to molecular markers have been published [18,36].…”

“…Genetic maps based on markers derived from high throughput sequencing techniques have been developed in lentil [35,36,19,37,38,24]. Several reviews on lentil genetic maps obtained from morphological to molecular markers have been published [18,36]. Excluding intersubspecific maps between the cultivated lentil and its wild ancestor ( L .…”

Maximising recombination across macadamia populations to generate linkage maps for genome anchoring

“…Strong congruence between component maps has led to successful map integration in other studies [46][47][48] . Combining information from all six parental maps and the '741' self map generated sufficiently high level of congruence (ρ = 0.90, p < 0.01) to allow the generation of integrated maps.…”

Marker-assisted selection and gene pyramiding for resistance to bacterial leaf blight disease of rice (Oryza sativaL.)

“…The microsatellites also require enough time and money to develop, and often, some orphan crop species lack sufficient numbers for high density mapping. Other DNA-based markers like the RFLPs that are linked to a target gene or QTL such as SCAR, sequence tagged site (STS) or single nucleotide polymorphism (SNP) markers are also properly utilized for marker assisted selection [57,58].…”