Project description:Purpose: The goal of this study is to construct an interspecific genetic linkage map using SNP markers generated using a genotyping by sequencing transcript approach. Methods: mRNA profiles of 14-day-old parents and 140 recombinant inbred lines were generated by high-throughput sequencing using Illumina HiSeq 3000 system. The sequence reads that passed filtering were mapped to lentil cultivar Cassab reference transcriptome using Burrows Wheeler Aligner and the SNPs generated were then clustered to linkage groups (LG) to construct a high-density linkage map using the ‘mstmap’ function from within the ASMap R package (v1.0-4) (Taylor and Butler, 2017). Results: A total of 694,694,624 paired end reads (150-bp) were generated by sequencing multiplexed cDNA libraries on the Illumina HiSeq 3000 platform with an average of 4,997,803 reads per RIL progeny. Variant calling and sequential filtering led to identification of 2,363 SNP markers which were used to construct a genetic linkage map spanning 545.5 cM with 8 linkage groups. Conclusions: The study has utilized a novel interspecific-derived RIL population to add an array of SNPs to the existing marker data for lentil, which will be of use in future genetic and genomic analyses.
Project description:A dataset of ~600 RIL crosses using RILs from the Drosophila Synthetic Population Resource to be used for genomewide eQTL mapping. All samples are from female heads.
Project description:Lentils (Lens culinaris) are produced in diverse agroecological regions and are consumed as one of the most important food legumes at world-wide. Lentils possess a nutritional profile from a human health perspective that is not only nutrient-dense but also offers a better balance between protein and carbohydrates. However, lentil causes food allergy which has been a significant concern due to increased consumption in parts of the world. Len c3, a none-specific Lipid Transfer Protein (LTP), was identified as one of the allergens in lentil seeds. In this study, we firstly identified the Len c3 encoding gene LcLTP3b via peptide sequence blasting. We then focused on screening natural variations to search for lentil germplasms that harbors natural mutated allergen-encoding genes. A natural variation 11 was identified with mutations at LcLTP3b and low accumulation of vicilin through genomic-assisted approaches. Furthermore, we generated a pool of lentil germplasms with Len c3-free background through crossing the identified natural variation 11 with two lentil cultivars, CDC Redmoon and CDC Gold. These Len c3-free lentil germplasms can be used as a breeding resource targeting at reducing allergen risk in lentil consumption.
Project description:A dataset of ~600 RIL crosses using RILs from the Drosophila Synthetic Population Resource to be used for genomewide eQTL mapping. All samples are from female heads. 54 arrays with 12 samples per array resulting in data for 596 RIL crosses.
Project description:We present an atlas of global gene expression covering embryo and seed coat development in lentil, providing insights into the evolution of gene expression in embryogenesis of lentil species.
2023-09-20 | GSE216220 | GEO
Project description:Lentil and wild lentil transcriptomes
Project description:Drought stress is one of the main environmental factors that affects growth and productivity of crop plants, including lentil. To gain insights into the genome-wide transcriptional regulation in lentil root and leaf under short- and long-term drought conditions, we performed RNA-seq on a drought-sensitive lentil cultivar (Lens culinaris Medik. cv. Sultan). After establishing drought conditions, lentil samples were subjected to de novo RNA-seq-based transcriptome analysis. The 207,076 gene transcripts were successfully constructed by de novo assembly from the sequences obtained from root, leaf, and stems. Differentially expressed gene (DEG) analysis on these transcripts indicated that period of drought stress had a greater impact on the transcriptional regulation in lentil root. The numbers of DEGs were 2915 under short-term drought stress while the numbers of DEGs were increased to 18,327 under long-term drought stress condition in the root. Further, Gene Ontology analysis revealed that the following biological processes were differentially regulated in response to long-term drought stress: protein phosphorylation, embryo development seed dormancy, DNA replication, and maintenance of root meristem identity. Additionally, DEGs, which play a role in circadian rhythm and photoreception, were downregulated suggesting that drought stress has a negative effect on the internal oscillators which may have detrimental consequences on plant growth and survival. Collectively, this study provides a detailed comparative transcriptome response of drought-sensitive lentil strain under short- and long-term drought conditions in root and leaf. Our finding suggests that not only the regulation of genes in leaves is important but also genes regulated in roots are important and need to be considered for improving drought tolerance in lentil.
Project description:The intent of the experiment was to construct molecular SNP-binning markers of a Col-0 x Pat RIL population, for sensitive QTL mapping. We performed Illumina low-coverage DNA sequencing of plant tissues.
