BAC-End Sequence-Based SNP Mining in Allotetraploid Cotton (Gossypium) Utilizing Resequencing Data, Phylogenetic Inferences and Perspectives for Genetic Mapping

Publication Overview
TitleBAC-End Sequence-Based SNP Mining in Allotetraploid Cotton (Gossypium) Utilizing Resequencing Data, Phylogenetic Inferences and Perspectives for Genetic Mapping
AuthorsHulse-Kemp AM, Ashrafi H, Stoffel K, Zheng X, Saski C, Scheffler BE, Fang DD, Chen ZJ, Van Deynze A, Stelly DM
TypeJournal Article
Journal NameG3 (Bethesda, Md.)
Year2015
CitationHulse-Kemp AM, Ashrafi H, Stoffel K, Zheng X, Saski C, Scheffler BE, Fang DD, Chen ZJ, Van Deynze A, Stelly DM. BAC-End Sequence-Based SNP Mining in Allotetraploid Cotton (Gossypium) Utilizing Resequencing Data, Phylogenetic Inferences and Perspectives for Genetic Mapping. G3 (Bethesda, Md.). 2015 Apr 9.

Abstract

A bacterial artificial chromosome library and BAC-end sequences for cultivated cotton (Gossypium hirsutum L.) have recently been developed. This report presents on genome-wide single nucleotide polymorphism mining utilizing resequencing data with BAC-end sequences as a reference by alignment of twelve G. hirsutum L. lines, one G. barbadense L. line, and one G. longicalyx Hutch & Lee line. A total of 132,262 intraspecific SNPs have been developed for G. hirsutum, while 223,138 and 470,631 interspecific SNPs have been developed for G. barbadense and G. longicalyx, respectively. Using a set of interspecific SNPs, 11 randomly selected, and 77 SNPs that are putatively associated with the homeologous chromosome pair 12 and 26, we mapped 77 SNPs into two linkage groups representing these chromosomes, spanning a total of 236.2 cM in an interspecific F2 population (G. hirsutum TM-1 x G. barbadense 3-79). The mapping results validated the approach for reliably producing large numbers of both intraspecific and interspecific SNPs aligned to BAC-ends. This will allow for future construction of high-density integrated physical and genetic maps for cotton and other complex polyploid genomes. The methods developed will allow for future Gossypium resequencing data to be automatically genotyped for identified SNPs along the BAC-end sequence reference for anchoring sequence assemblies and comparative studies.

Features
This publication contains information about 170 features:
Feature NameUniquenameType
TAMU_GH_TBb039C13r158TAMU_GH_TBb039C13r158genetic_marker
TAMU_GH_TBb039K17f103TAMU_GH_TBb039K17f103genetic_marker
TAMU_GH_TBb047H13r591TAMU_GH_TBb047H13r591genetic_marker
TAMU_GH_TBb055E09r390TAMU_GH_TBb055E09r390genetic_marker
TAMU_GH_TBb070L09r38TAMU_GH_TBb070L09r38genetic_marker
TAMU_GH_TBb075C16r417TAMU_GH_TBb075C16r417genetic_marker
TAMU_GH_TBb078M05f450TAMU_GH_TBb078M05f450genetic_marker
TAMU_GH_TBb115J16f283TAMU_GH_TBb115J16f283genetic_marker
TAMU_GH_TBh016J13f208TAMU_GH_TBh016J13f208genetic_marker
TAMU_GH_TBb006P18r611TAMU_GH_TBb006P18r611genetic_marker
TAMU_GH_TBb021F19r519TAMU_GH_TBb021F19r519genetic_marker
TAMU_GH_TBb026F19f729TAMU_GH_TBb026F19f729genetic_marker
TAMU_GH_TBb058C06r599TAMU_GH_TBb058C06r599genetic_marker
TAMU_GH_TBb086E12r110TAMU_GH_TBb086E12r110genetic_marker
TAMU_GH_TBb099J02r656TAMU_GH_TBb099J02r656genetic_marker
TAMU_GH_TBb109H24r165TAMU_GH_TBb109H24r165genetic_marker
TAMU_GH_TBb117M02f102TAMU_GH_TBb117M02f102genetic_marker
TAMU_GH_TBh001B09r548TAMU_GH_TBh001B09r548genetic_marker
TAMU_GH_TBh002N07r158TAMU_GH_TBh002N07r158genetic_marker
TAMU_GH_TBh005K16r694TAMU_GH_TBh005K16r694genetic_marker
TAMU_GH_TBh013E05r311TAMU_GH_TBh013E05r311genetic_marker
TAMU_GH_TBb008N08r633TAMU_GH_TBb008N08r633genetic_marker
TAMU_GH_TBb016L05f510TAMU_GH_TBb016L05f510genetic_marker
TAMU_GH_TBb034F08r220TAMU_GH_TBb034F08r220genetic_marker
TAMU_GH_TBb065N10f579TAMU_GH_TBb065N10f579genetic_marker

Pages

Libraries
This publication contains information about 1 libraries:
Library NameUnique NameOrganism
TAMU_CottonSNP63KTAMU_CottonSNP63KGossypium spp.
Properties
Additional details for this publication include:
Property NameValue
CopyrightCopyright © 2015 Author et al.
eISSN2160-1836
Elocation10.1534/g3.115.017749
ISSN2160-1836
Journal AbbreviationG3 (Bethesda)
LanguageEnglish
Language AbbrENG
Publication Date2015 Apr 9
Publication ModelPrint-Electronic
Publication TypeJournal Article
URLhttp://www.g3journal.org/content/5/6/1095.short