Mapping Of Kernel Size And Testa Color Gene In Peanut(Arachis Hypogaea L.)

Peanut(Arachis hypogaea L.)is a worldwide important oil and economic crop that plant in more than one hundred countries all over the world,China is the world’s largest peanut producer and consumer,as the cultivated peanut is allotetraplo id,genetic mechanism is complex,the peanut color and kernel size related traits QTL research is relatively backward.In this study we use high density linkage map to mapping the QTL for kernel size related traits and the testa color traits.We also use the bulked segregant analysis(BSA)analyzed the kernel size related traits The main results were as follows.1.We use the linkage map and the phenotypic data of 2016 and 2017,3 kernel size related traits including kernel length(KL),kernel width(KW)and 100-kernel weight(HKW)were analyzed for QTL mapping.A total of 18 QTLs that contained on 7 linkage groups were detected in two years.Combining two-time’s QTL results,3 QTLs can be repeatedly detected,can explaining 9.68%-11.14%of phenotypic variation and all located on A07 linkage group.In QTL distribution,there are multiple QTL distribution in the same interval.The results are very important to carry out peanut breeding,especially peanut molecular breeding.2.Testa color is a selective marker of peanut hybridization and also affects the processing and utilization of peanut.Early generation of this study has identified clearly between the parents,The red is dominant to the pink,accords with the separation of law of a pair alleles,In this study we used high generation RIL population and high density genetic map to do analysis.In two years,a 1.355 cM region between Marker 9519 and Marker 9511 which located on the A03 linkage group was repeated distributed.By comparing the genome,it is a 203k bp region,including 204 genes.4.Based on RIL population,combined with the phenotypic data,the 100-kernel weigh were chosen as the main selection standard,respectively select 54 extreme large seeds and 54 extreme small seeds progeny to construct 54+54 extreme mix pool,and use Bulked Segregation Analysis do genome-wide association analysis.We got 356.16 Gbp sequencing data,it’s Q30 reached 80%,and each sample average was sequenced 63.60 times.It can cover 96.05%of reference genomic The average Sequence depth of each individual was 52.75X.After genotyping and screening,we got 453,721 SNPs,and 81,118 InDels.We use two methods analyzing the SNPs and InDels,5 related regions were detected,and it’s a region which length 1.75Mb,contain 23 genes.This genes can be use as the candidate gene to research seed-related traits.