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Large-Scale SNP Discovery and Genotyping for Constructing a High-Density Genetic Map of Tea Plant Using Specific-Locus Amplified Fragment Sequencing (SLAF-seq). | LitMetric

Large-Scale SNP Discovery and Genotyping for Constructing a High-Density Genetic Map of Tea Plant Using Specific-Locus Amplified Fragment Sequencing (SLAF-seq).

PLoS One

National Center for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, Zhejiang, China; Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, Hangzhou, Zhejiang, China.

Published: May 2016

AI Article Synopsis

  • The study focused on creating a genetic map for the tea plant by discovering over 6,000 single nucleotide polymorphisms (SNPs) using a technique called specific-locus amplified fragment sequencing (SLAF-seq).
  • The final genetic map contains 6,448 molecular markers distributed across fifteen linkage groups, corresponding to the tea plant's chromosomes, and spans a total length of 3,965 cM.
  • This SNP-based reference map provides valuable genetic information that can aid in future research on quantitative trait loci, map-based cloning, marker-assisted selection, and whole genome sequencing projects for the tea plant.

Article Abstract

Genetic maps are important tools in plant genomics and breeding. The present study reports the large-scale discovery of single nucleotide polymorphisms (SNPs) for genetic map construction in tea plant. We developed a total of 6,042 valid SNP markers using specific-locus amplified fragment sequencing (SLAF-seq), and subsequently mapped them into the previous framework map. The final map contained 6,448 molecular markers, distributing on fifteen linkage groups corresponding to the number of tea plant chromosomes. The total map length was 3,965 cM, with an average inter-locus distance of 1.0 cM. This map is the first SNP-based reference map of tea plant, as well as the most saturated one developed to date. The SNP markers and map resources generated in this study provide a wealth of genetic information that can serve as a foundation for downstream genetic analyses, such as the fine mapping of quantitative trait loci (QTL), map-based cloning, marker-assisted selection, and anchoring of scaffolds to facilitate the process of whole genome sequencing projects for tea plant.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452719PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128798PLOS

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