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_TBb060G07f242TAMU_GH_TBb060G07f242genetic_marker
TAMU_GH_TBb065K23r406TAMU_GH_TBb065K23r406genetic_marker
TAMU_GH_TBb068E11r158TAMU_GH_TBb068E11r158genetic_marker
TAMU_GH_TBb080P11f385TAMU_GH_TBb080P11f385genetic_marker
TAMU_GH_TBb090A02r206TAMU_GH_TBb090A02r206genetic_marker
TAMU_GH_TBb094A14f404TAMU_GH_TBb094A14f404genetic_marker
TAMU_GH_TBb096A22f163TAMU_GH_TBb096A22f163genetic_marker
TAMU_GH_TBb101K04r201TAMU_GH_TBb101K04r201genetic_marker
TAMU_GH_TBb115E07r412TAMU_GH_TBb115E07r412genetic_marker
TAMU_GH_TBh011E23r304TAMU_GH_TBh011E23r304genetic_marker
TAMU_GH_TBh015D09f378TAMU_GH_TBh015D09f378genetic_marker
TAMU_GH_TBh068I20r514TAMU_GH_TBh068I20r514genetic_marker
TAMU_GH_TBh073G11f366TAMU_GH_TBh073G11f366genetic_marker
TAMU_GH_TBh073M10r542TAMU_GH_TBh073M10r542genetic_marker
TAMU_GH_TBh081E20f301TAMU_GH_TBh081E20f301genetic_marker
TAMU_GH_TBh084M23f126TAMU_GH_TBh084M23f126genetic_marker
TAMU_GH_TBh096O18f186TAMU_GH_TBh096O18f186genetic_marker
TAMU_GH_TBh099A11f113TAMU_GH_TBh099A11f113genetic_marker
TAMU_GH_TBh103A03r594TAMU_GH_TBh103A03r594genetic_marker
TAMU_GH_TBh103N06r165TAMU_GH_TBh103N06r165genetic_marker
TAMU_GH_TBh107J22r268TAMU_GH_TBh107J22r268genetic_marker
TAMU_GH_TBh120F09r233TAMU_GH_TBh120F09r233genetic_marker
TAMU_GH_TBb011E21r210TAMU_GH_TBb011E21r210genetic_marker
TAMU_GH_TBb023C09f63TAMU_GH_TBb023C09f63genetic_marker
TAMU_GH_TBb031J15f553TAMU_GH_TBb031J15f553genetic_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