Abstract
Recombination hot spots (RHP), caused by meiosis, are considered to play crucial roles in improvement and domestication of crop. Cultivated peanut is one of the most important rich-source of oil and protein crops. However, no direct scale of recombination events and RHP have been estimated for peanut. To examine the scale of recombination events and RHP in peanut, a RIL population with 200 lines and a natural population with 49 cultivars were evaluated. The precise integrated map comprises 4837 SLAF markers with genetic length of 2915.46 cM and density of 1.66 markers per cM in whole genome. An average of 30.0 crossover (2.06 cMMb−1) events was detected per RIL plant. The crossover events (CE) showed uneven distribution among B sub-genome (2.32) and A sub-genome (1.85). There were 4.34% and 7.86% of the genome contained large numbers of CE (> 50 cMMb−1) along chromosomes in F6 and natural population, respectively. High density of CE regions called RHP, showed negative relationship to marker haplotypes conservative region but positive to heatmap of recombination. The genes located within the RHP regions by GO categories showed the responding of environmental stimuli, which suggested that recombination plays a crucial role in peanut adaptation to changing environments
Highlights
Peanut, known as groundnut (Arachis hypogaea L.; AABB, 2n = 4x = 40), is a major source of edible oils worldwide, of which the annual production is about ~ 46 million tons (FAOSTAT 2015, https://faostat3.fao.org/ home/)
Technologies have reduced the cost of genotyping large numbers of accessions and increased the feasibility of performing pre-breeding at genome level as an alternative to quantitative trait loci (QTL) mapping or genome-wide associated studies
Present research aims to address the following objectives: (1) to construct a genetic linkage map of high-density SNP; (2) to detect the recombination crossover events in genetic map and natural population; (3) to identify the vicinity of genes located within the recombination hot spot regions by gene ontology (GO) categories
Summary
Present research aims to address the following objectives: (1) to construct a genetic linkage map of high-density SNP; (2) to detect the recombination crossover events in genetic map and natural population; (3) to identify the vicinity of genes located within the recombination hot spot regions by gene ontology (GO) categories. There were 163 (was 7.86% of whole recombination crossover events) regions which were recombination hot spots in the peanut natural population.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
