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High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)
High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)
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High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)
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High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)
High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)

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High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)
High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)
Journal Article

High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.)

2019
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Overview
Background First flower node (FFN) is an important trait for evaluating fruit earliness in pepper ( Capsicum annuum L.). The trait is controlled by quantitative trait loci (QTL); however, studies have been limited on QTL mapping and genes contributing to the trait. Results In this study, we developed a high density genetic map using specific-locus amplified fragment sequencing (SLAF-seq), a high-throughput strategy for de novo single nucleotide polymorphism discovery, based on 146 recombinant inbred lines (RILs) derived from an intraspecific cross between PM702 and FS871. The map contained 9328 SLAF markers on 12 linkage groups (LGs), and spanned a total genetic distance of 2009.69 centimorgan (cM) with an average distance of 0.22 cM. The sequencing depth for the map was 72.39-fold in the male parent, 57.04-fold in the female parent, and 15.65-fold in offspring. Using the genetic map, two major QTLs, named Ffn2.1 and Ffn2.2 , identified on LG02 were strongly associated with FFN, with a phenotypic variance explanation of 28.62 and 19.56%, respectively. On the basis of the current annotation of C. annuum cv. Criollo de Morelos (CM334), 59 candidate genes were found within the Ffn2.1 and Ffn2.2 region, but only 3 of 59 genes were differentially expressed according to the RNA-seq results. Eventually we identified one gene associated with the FFN based on the function through GO, KEGG, and Swiss-prot analysis. Conclusions Our research showed that the construction of high-density genetic map using SLAF-seq is a valuable tool for fine QTL mapping. The map we constructed is by far the most saturated complete genetic map of pepper, and using it we conducted fine QTL mapping for the important trait, FFN. QTLs and candidate genes obtained in this study lay a good foundation for the further research on FFN-related genes and other genetic applications in pepper.