Advances in lentil production through heterosis: evaluating generations and breeding systems
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA766596 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16085600_1.fastq.gz | Fastqsanger.gz | |||
| SRR16085600_2.fastq.gz | Fastqsanger.gz | |||
| SRR16085601_1.fastq.gz | Fastqsanger.gz | |||
| SRR16085601_2.fastq.gz | Fastqsanger.gz | |||
| SRR16085602_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: calculate genetic diversity in lentil
2021-09-29 | GSE184819 | GEO
Project description:Heterosis is defined as increased performance of the F1 hybrid relative to its parents. In the current study, a cohort of populations and parents were created to evaluate and understand heterosis across generations (i.e., F1 to F3) in lentil, a self-pollinated annual diploid (2n = 2× = 14) crop species. Lentil plants were evaluated for heterotic traits in terms of plant height, biomass fresh weight, seed number, yield per plant and 100 grain weight. A total of 47 selected lentil genotypes were cross hybridized to generate 72 F1 hybrids. The F1 hybrids from the top five crosses exhibited between 31%-62% heterosis for seed number with reference to the better parent. The five best performing heterotic crosses were selected with a negative control for evaluation at the subsequent F2 generation and only the tails of the distribution taken forward to be assessed in the F3 generation as a sub selection. Overall, heterosis decreases across the subsequent generations for all traits studied. However, some individual genotypes were identified at the F2 and sub-selected F3 generations with higher levels of heterosis than the best F1 mean value (hybrid mimics). The phenotypic data for the selected F2 and sub selected F3 hybrids were analysed, and the study suggested that 100 grain weight was the biggest driver of yield followed by seed number. A genetic diversity analysis of all the F1 parents failed to correlate genetic distance and divergence among parents with heterotic F1's. Therefore, genetic distance was not a key factor to determine heterosis in lentil. The study highlights the challenges associated with different breeding systems for heterosis (i.e., F1 hybrid-based breeding systems and/or via hybrid mimics) but demonstrates the potential significant gains that could be achieved in lentil productivity.
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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.
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Project description:Chickpea and lentil are two important pulse crops used for human consumption as sources of vegetable protein, rich in amino acids and bioactive compounds. The search for elite cultivars with better architecture has been a demand by farmers of these two crops, which aims to systematize their mechanized planting and harvesting on a large scale. Therefore, the identification of genes associated with the regulation of the branching and architecture of these plants has currently gained great importance. This work aimed to gain insight into transcriptomic changes of two contrasting chickpea and lentil cultivars in terms of branching pattern (little versus highly branched cultivars). In addition, we aimed to identify candidate genes involved in the regulation of shoot branching that could be used as future targets for molecular breeding. The axillary and apical buds of chickpea cultivars Blanco lechoso and FLIP07-318C, and lentil cultivars Castellana and Campisi, considered as little and highly branched, respectively, were harvested.
2024-05-31 | E-MTAB-13679 | biostudies-arrayexpress
Project description:The improvement of breeding efficiencies for heterotic and climate-resilient crops can mitigate the food shortage crisis from overpopulation and climate change. Thus far, diverse molecular markers have been utilized for guiding field phenotypic selections, while the accurate predictions of complex heterotic traits are rarely reported. Here we present a practical metabolome-based prediction strategy for yield heterosis in rice. The dissection of population structures based on untargeted metabolite profiles, rather than the screening of predictive variables, was proved to be the initial critical step in multivariate modeling. Then the assessment of each predictive variable's contribution to predictive models was more precise according to all latent factors compared to the conventional first one. Metabolites belonging to specific pathways were tightly connected to yield heterosis, and the up-regulation of galactose metabolism represent robust yield heterosis for hybrids across different growth conditions. Our study demonstrates that metabolome-based predictive models with correctly dissected population structures and screened predictive variables can realize accurate prediction of yield heterosis and manifest great potential for establishing molecular marker-based precision breeding programs.
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Project description:Characterization of Genetic and Allelic Diversity Amongst Cultivated and Wild Lentil Accessions for Germplasm Enhancement
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Project description:Whilst the hybrids of F1 generations usually experience heterosis for fitness-related traits (including the resistance to parasites), post-F1 generations, due to Dobzhansky–Muller genetic incompatibilities, express numerous disadvantageous traits (including susceptibility to parasites). Genetic disruption in hybrids may also result from the broken system of cyto-nuclear coadaptation. Maternal backcrosses (each parent having with the same mtDNA of parents) and paternal backcrosses (each parent having with different mtDNA of parents) have the same nuclear genetic compositions, but differ in cytoplasmic genetic elements, affecting their viability and survival. Spring viraemia of the carp virus (SVCV), a disease with a serious economic impact in aquacultures, affects almost exclusively cyprinids, primarily common carp, and causes high mortality, whilst gibel carp is a less susceptible species. Our study was focused on the transcriptome profile analysis of head kidney to reveal differential gene expression in highly susceptible common carp, weakly susceptible gibel carp, and hybrid lines, hypothetizing that the patterns of differential gene expression will reflect hybrid heterosis in F1 generations and hybrid breakdown in backcrosses and F2 generations. We expected the differences in differential gene expression between maternal and paternal backcrosses to be in line with the hypothesis of broken cyto-nuclear coadaptation.
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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.
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