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Tytuł pozycji:

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

Tytuł:
BAC-End Sequence-Based SNP Mining in Allotetraploid Cotton (Gossypium) Utilizing Resequencing Data, Phylogenetic Inferences, and Perspectives for Genetic Mapping.
Autorzy:
Hulse-Kemp AM; Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843 Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas 77843.
Ashrafi H; Seed Biotechnology Center, University of California, Davis, California 95616.
Stoffel K; Seed Biotechnology Center, University of California, Davis, California 95616.
Zheng X; Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843.
Saski CA; Clemson University Genomics Institute, Clemson University, Clemson, South Carolina 29634.
Scheffler BE; USDA-ARS, Genomics and Bioinformatics Research Unit, Stoneville, Mississippi 38766.
Fang DD; USDA-ARS, Cotton Fiber Bioscience Research Unit, New Orleans, Louisiana 70124.
Chen ZJ; Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, The University of Texas, Austin, Texas 78712.
Van Deynze A; Seed Biotechnology Center, University of California, Davis, California 95616.
Stelly DM; Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843 Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas 77843 .
Źródło:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2015 Apr 09; Vol. 5 (6), pp. 1095-105. Date of Electronic Publication: 2015 Apr 09.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Język:
English
Imprint Name(s):
Publication: 2021- : [Oxford] : Oxford University Press
Original Publication: Bethesda, MD : Genetics Society of America, 2011-
MeSH Terms:
Phylogeny*
Polyploidy*
Chromosome Mapping/*methods
Chromosomes, Artificial, Bacterial/*genetics
Gossypium/*genetics
Polymorphism, Single Nucleotide/*genetics
Sequence Analysis, DNA/*methods
Base Sequence ; Cluster Analysis ; Computer Simulation ; Contig Mapping ; Data Mining ; Diploidy ; Genetic Linkage ; Genetic Loci ; Genetic Markers ; Genome, Bacterial ; Heterozygote ; Homozygote ; Molecular Sequence Annotation ; Principal Component Analysis ; Species Specificity
References:
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Contributed Indexing:
Keywords: BAC-derived SNPs; SNP genotyping; cotton genomics; intraspecific; resequencing
Substance Nomenclature:
0 (Genetic Markers)
Entry Date(s):
Date Created: 20150411 Date Completed: 20160307 Latest Revision: 20240323
Update Code:
20240323
PubMed Central ID:
PMC4478540
DOI:
10.1534/g3.115.017749
PMID:
25858960
Czasopismo naukowe
A bacterial artificial chromosome library and BAC-end sequences for cultivated cotton (Gossypium hirsutum L.) have recently been developed. This report presents genome-wide single nucleotide polymorphism (SNP) mining utilizing resequencing data with BAC-end sequences as a reference by alignment of 12 G. hirsutum L. lines, one G. barbadense L. line, and one G. longicalyx Hutch and Lee line. A total of 132,262 intraspecific SNPs have been developed for G. hirsutum, whereas 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. barbadense 3-79 × G. hirsutum TM-1). 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.
(Copyright © 2015 Hulse-Kemp et al.)

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