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Saturated fatty acids (FA), an important component of soybean oil, plays a crucial role in the nutritional value of soybean oil through different concentration and relative proportions. In this study, an association population of 185 diverse soybean accessions was used to identify quantitative trait nucleotide (QTN) and scan candidate genes via genome‐wide association analysis (GWAS), which was based on high throughout single‐nucleotide polymorphisms (SNPs) developed via the Specific Locus Amplified Fragment Sequencing (SLAF‐seq) approach. A total of 33,149 SNPs were identified with minor allele frequencies (MAF) >4%, which covered 97% of the soybean whole genome. For the two saturated FA concentration, including palmitic acid (PA) and stearic acid (SA), up to 65 SNPs were verified via GWAS. Among them, 35 and 16 SNPs loci were the novel loci for PA and SA, respectively. There were other six loci for PA and eight loci for SA overlapped or located in the linked genomic regions reported by the previous study. Furthermore, many loci were repeated in more than two environments, and four pair of pleiotropic loci (PA‐3‐2 and SA‐3‐2, PA‐11‐2 and SA‐11‐1, PA‐12‐2 and SA‐12‐1, and PA‐17‐1 and SA‐17‐2) had similar genomic regions, which might control both PA and SA simultaneously. A total of 49 genes, which could participate in lipid biosynthesis pathway or hormone metabolism, were identified as the potential candidate genes associated with saturated FA. The identified loci with beneficial alleles and the candidate genes would be valuable for studying the molecular mechanisms of saturated FA and further for improving nutritional value of soybean oil. [ABSTRACT FROM AUTHOR]

Linkage maps enable the study of important biological questions. The construction of high-density linkage maps appears more feasible since the advent of next-generation sequencing (NGS), which eases SNP discovery and high-throughput genotyping of large population. However, the marker number explosion and genotyping errors from NGS data challenge the computational efficiency and linkage map quality of linkage study methods. Here we report the HighMap method for constructing high-density linkage maps from NGS data. HighMap employs an iterative ordering and error correction strategy based on a k-nearest neighbor algorithm and a Monte Carlo multipoint maximum likelihood algorithm. Simulation study shows HighMap can create a linkage map with three times as many markers as ordering-only methods while offering more accurate marker orders and stable genetic distances. Using HighMap, we constructed a common carp linkage map with 10,004 markers. The singleton rate was less than one-ninth of that generated by JoinMap4.1. Its total map distance was 5,908 cM, consistent with reports on low-density maps. HighMap is an efficient method for constructing high-density, high-quality linkage maps from high-throughput population NGS data. It will facilitate genome assembling, comparative genomic analysis, and QTL studies. HighMap is available at http://highmap.biomarker.com.cn/. [ABSTRACT FROM AUTHOR]

The Pacific white shrimp Litopenaeus vannamei is the dominant crustacean species in global seafood mariculture. Understanding the genome and genetic architecture is useful for deciphering complex traits and accelerating the breeding program in shrimp. In this study, a genome survey was conducted and a high-density linkage map was constructed using a next-generation sequencing approach. The genome survey was used to identify preliminary genome characteristics and to generate a rough reference for linkage map construction. De novo SNP discovery resulted in 25,140 polymorphic markers. A total of 6,359 high-quality markers were selected for linkage map construction based on marker coverage among individuals and read depths. For the linkage map, a total of 6,146 markers spanning 4,271.43 cM were mapped to 44 sex-averaged linkage groups, with an average marker distance of 0.7 cM. An integration analysis linked 5,885 genome scaffolds and 1,504 BAC clones to the linkage map. Based on the high-density linkage map, several QTLs for body weight and body length were detected. This high-density genetic linkage map reveals basic genomic architecture and will be useful for comparative genomics research, genome assembly and genetic improvement of L. vannamei and other penaeid shrimp species. [ABSTRACT FROM AUTHOR]