Colette A. Abbey
Texas A&M University
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Featured researches published by Colette A. Abbey.
Genetics | 2004
Junkang Rong; Colette A. Abbey; John E. Bowers; Curt L. Brubaker; Charlene Chang; Peng W. Chee; Terrye A. Delmonte; Xiaoling Ding; Juan J. Garza; Barry S. Marler; Chan Hwa Park; Gary J. Pierce; Katy M. Rainey; Vipin K. Rastogi; Stefan R. Schulze; Norma L. Trolinder; Jonathan F. Wendel; Thea A. Wilkins; T. Dawn Williams-Coplin; Rod A. Wing; Robert J. Wright; Xinping Zhao; Linghua Zhu; Andrew H. Paterson
We report genetic maps for diploid (D) and tetraploid (AtDt) Gossypium genomes composed of sequence-tagged sites (STS) that foster structural, functional, and evolutionary genomic studies. The maps include, respectively, 2584 loci at 1.72-cM (∼600 kb) intervals based on 2007 probes (AtDt) and 763 loci at 1.96-cM (∼500 kb) intervals detected by 662 probes (D). Both diploid and tetraploid cottons exhibit negative crossover interference; i.e., double recombinants are unexpectedly abundant. We found no major structural changes between Dt and D chromosomes, but confirmed two reciprocal translocations between At chromosomes and several inversions. Concentrations of probes in corresponding regions of the various genomes may represent centromeres, while genome-specific concentrations may represent heterochromatin. Locus duplication patterns reveal all 13 expected homeologous chromosome sets and lend new support to the possibility that a more ancient polyploidization event may have predated the A-D divergence of 6–11 million years ago. Identification of SSRs within 312 RFLP sequences plus direct mapping of 124 SSRs and exploration for CAPS and SNPs illustrate the “portability” of these STS loci across populations and detection systems useful for marker-assisted improvement of the worlds leading fiber crop. These data provide new insights into polyploid evolution and represent a foundation for assembly of a finished sequence of the cotton genome.
Biology of Reproduction | 2006
C. Allison Gray; Colette A. Abbey; Phillip D. Beremand; Youngsok Choi; Jennifer L. Farmer; David L. Adelson; Terry L. Thomas; Fuller W. Bazer; Thomas E. Spencer
Abstract During early pregnancy in ruminants, progesterone (P4) from the corpus luteum and interferon tau (IFNT) from the conceptus act on the endometrium to regulate genes important for uterine receptivity and conceptus growth. The use of the uterine gland knockout (UGKO) ewe has demonstrated the critical role of epithelial secretions in regulation of conceptus survival and growth. A custom ovine cDNA array was used to identify alterations in gene expression of endometria from Day 14 cyclic, pregnant, and UGKO ewes (study 1) and from cyclic ewes treated with P4 or P4 with ZK 136,317 antiprogestin and control proteins or IFNT (study 2). In study 1, expression of 47 genes was more than 2-fold different between Day 14 pregnant and cyclic endometria, whereas 23 genes was different between Day 14 cyclic and UGKO endometria. In study 2, 70 genes were different due to P4 alone, 74 genes were affected by IFNT in a P4-dependent manner, and 180 genes were regulated by IFNT in a P4-independent manner. In each study, an approximately equal number of genes were found to be activated or repressed in each group. Endometrial genes increased by pregnancy and P4 and/or IFNT include B2M, CTSL, CXCL10, G1P3, GRP, IFI27, IFIT1, IFITM3, LGALS15, MX1, POSTN, RSAD2, and STAT5A. Transcripts decreased by pregnancy and P4 and/or IFNT include COL3A1, LUM, PTMA, PUM1, RPL9, SPARC, and VIM. Identification and analysis of these hormonally responsive genes will help define endometrial pathways critical for uterine support of peri-implantation conceptus survival, growth, and implantation.
Proceedings of the National Academy of Sciences of the United States of America | 2003
Stephen N. White; Kristen H. Taylor; Colette A. Abbey; C. A. Gill; James E. Womack
Toll-like receptor 4 (TLR4) is a cell-surface receptor that activates innate and adaptive immune responses. Because it recognizes a broad class of pathogen-associated molecular patterns presented by lipopolysaccharides and lipoteichoic acid, TLR4 is a candidate gene for resistance to a large number of diseases. In particular, mouse models suggest TLR4 as a candidate gene for resistance to major agents in bovine respiratory disease and Johnes disease. The coding sequence of bovine TLR4 is divided into three exons, with intron/exon boundaries and intron sizes similar to those of human TLR4 transcript variant 1. We amplified each exon in 40 individuals from 11 breeds and screened the sequence for single-nucleotide polymorphisms (SNPs). We identified 32 SNPs, 28 of which are in the coding sequence, for an average of one SNP per 90 bp of coding sequence. Eight SNPs were nonsynonymous and potentially alter specificity of pathogen recognition or efficiency of signaling. To evaluate the functional importance of these SNPs, we used codon-substitution models to detect diversifying selection in an extracellular region that may physically interact with ligands. One nonsynonymous SNP is located within this region, and other substitutions are in adjacent regions that may interact with coreceptor molecules. The 32 SNPs were found in 20 haplotypes that can be assigned to geographic ranges of origin. Haplotype-tagging SNP analysis indicated that 12 SNPs need to be genotyped to distinguish these 20 haplotypes. These data provide a basic understanding of bovine TLR4 sequence variation and supply haplotype markers for disease association studies.
Genome Biology | 2007
Warren M Snelling; Readman Chiu; Jacqueline E. Schein; Matthew Hobbs; Colette A. Abbey; David L. Adelson; Jan Aerts; Gary L Bennett; Ian Bosdet; Mekki Boussaha; Rudiger Brauning; Alexandre R Caetano; Marcos M Costa; A. M. Crawford; Brian P. Dalrymple; A. Eggen; Annelie Everts-van der Wind; Sandrine Floriot; Mathieu Gautier; C. A. Gill; Ronnie D Green; Robert A. Holt; Oliver Jann; Steven J.M. Jones; S. M. Kappes; J. W. Keele; Pieter J. de Jong; Denis M. Larkin; Harris A. Lewin; J. C. McEwan
BackgroundCattle are important agriculturally and relevant as a model organism. Previously described genetic and radiation hybrid (RH) maps of the bovine genome have been used to identify genomic regions and genes affecting specific traits. Application of these maps to identify influential genetic polymorphisms will be enhanced by integration with each other and with bacterial artificial chromosome (BAC) libraries. The BAC libraries and clone maps are essential for the hybrid clone-by-clone/whole-genome shotgun sequencing approach taken by the bovine genome sequencing project.ResultsA bovine BAC map was constructed with HindIII restriction digest fragments of 290,797 BAC clones from animals of three different breeds. Comparative mapping of 422,522 BAC end sequences assisted with BAC map ordering and assembly. Genotypes and pedigree from two genetic maps and marker scores from three whole-genome RH panels were consolidated on a 17,254-marker composite map. Sequence similarity allowed integrating the BAC and composite maps with the bovine draft assembly (Btau3.1), establishing a comprehensive resource describing the bovine genome. Agreement between the marker and BAC maps and the draft assembly is high, although discrepancies exist. The composite and BAC maps are more similar than either is to the draft assembly.ConclusionFurther refinement of the maps and greater integration into the genome assembly process may contribute to a high quality assembly. The maps provide resources to associate phenotypic variation with underlying genomic variation, and are crucial resources for understanding the biology underpinning this important ruminant species so closely associated with humans.
Mammalian Genome | 2004
Tara L. Ward; Stephanie J. Valberg; David L. Adelson; Colette A. Abbey; M. M. Binns; James R. Mickelson
Comparative biochemical and histopathological evidence suggests that a deficiency in the glycogen branching enzyme, encoded by the GBE1 gene, is responsible for a recently identified recessive fatal fetal and neonatal glycogen storage disease (GSD) in American Quarter Horses termed GSD IV. We have now derived the complete GBE1 cDNA sequences for control horses and affected foals, and identified a C to A substitution at base 102 that results in a tyrosine (Y) to stop (X) mutation in codon 34 of exon 1. All 11 affected foals were homozygous for the X34 allele, their 11 available dams and sires were heterozygous, and all 16 control horses were homozygous for the Y34 allele. The previous findings of poorly branched glycogen, abnormal polysaccharide accumulation, lack of measurable GBE1 enzyme activity and immunodetectable GBE1 protein, coupled with the present observation of abundant GBE1 mRNA in affected foals, are all consistent with the nonsense mutation in the 699 amino acid GBE1 protein. The affected foal pedigrees have a common ancestor and contain prolific stallions that are likely carriers of the recessive X34 allele. Defining the molecular basis of equine GSD IV will allow for accurate DNA testing and the ability to prevent occurrence of this devastating disease affecting American Quarter Horses and related breeds.
Animal Genetics | 2013
N. B. Stafuzza; A. J. Greco; Jason R. Grant; Colette A. Abbey; C. A. Gill; Terje Raudsepp; Loren C. Skow; James E. Womack; Penny K. Riggs; M. E. J. Amaral
The major histocompatibility complex (MHC) in mammals codes for antigen-presenting proteins. For this reason, the MHC is of great importance for immune function and animal health. Previous studies revealed this gene-dense and polymorphic region in river buffalo to be on the short arm of chromosome 2, which is homologous to cattle chromosome 23. Using cattle-derived STS markers and a river buffalo radiation hybrid (RH) panel (BBURH5000 ), we generated a high-resolution RH map of the river buffalo MHC region. The buffalo MHC RH map (cR5000 ) was aligned with the cattle MHC RH map (cR12000 ) to compare gene order. The buffalo MHC had similar organization to the cattle MHC, with class II genes distributed in two segments, class IIa and class IIb. Class IIa was closely associated with the class I and class III regions, and class IIb was a separate cluster. A total of 53 markers were distributed into two linkage groups based on a two-point LOD score threshold of ≥8. The first linkage group included 32 markers from class IIa, class I and class III. The second linkage group included 21 markers from class IIb. Bacterial artificial chromosome clones for seven loci were mapped by fluorescence in situ hybridization on metaphase chromosomes using single- and double-color hybridizations. The order of cytogenetically mapped markers in the region corroborated the physical order of markers obtained from the RH map and served as anchor points to align and orient the linkage groups.
Cytogenetic and Genome Research | 2007
G.R. Hansen; Colette A. Abbey; D.P. Gaile; Terje Raudsepp; B. P. Chowdhary; James E. Womack; C. A. Gill
Several quantitative trait loci for beef carcass traits have been mapped to bovine chromosome 5. The objective of this study was to map six candidate genes for these traits by fluoresence in situ hybridization, genetic linkage analysis and radiation hybrid mapping. MYF5 and MYF6 were assigned to 5q13, WIF1 to 5q23 and MMP19 to 5q25. A paralog of MYF5 (putatively MYOG) was assigned to 16q12. A novel microsatellite placed MYF5 and MYF6 10.4 cM from BM6026 and 19.1 cM from BL23 on the genetic linkage map. MYF5 (62.6 cR), WNT10B (319.5 cR), WIF1 (500.8 cR) and MMP19 (701.2 cR) were also integrated into the 5000Rad radiation hybrid map.
Genetics | 2003
John E. Bowers; Colette A. Abbey; Sharon Jane Anderson; Charlene Chang; Xavier Draye; Alison H. Hoppe; Russell Jessup; Cornelia Lemke; Jennifer Lennington; Zhikang Li; Yann-Rong Lin; Sin Chieh Liu; L. J. Luo; Barry S. Marler; Reiguang Ming; Sharon E. Mitchell; Dou Qiang; Kim P. Reischmann; Stefan R. Schulze; D. Neil Skinner; Yue Wen Wang; Stephen Kresovich; K. F. Schertz; Andrew H. Paterson
Molecular Ecology Notes | 2003
Kathleen G. O'Malley; Colette A. Abbey; Kirstin Ross; John R. Gold
Animal Genetics | 2006
K. R. Wunderlich; Colette A. Abbey; D. R. Clayton; Y. Song; Jacquie Schein; Michel Georges; Wouter Coppieters; David L. Adelson; Jeremy F. Taylor; S. L. Davis; C. A. Gill