Keele JW

References (3)

Title : The genome sequence of taurine cattle: a window to ruminant biology and evolution - Elsik_2009_Science_324_522
Author(s) : Elsik CG , Tellam RL , Worley KC , Gibbs RA , Muzny DM , Weinstock GM , Adelson DL , Eichler EE , Elnitski L , Guigo R , Hamernik DL , Kappes SM , Lewin HA , Lynn DJ , Nicholas FW , Reymond A , Rijnkels M , Skow LC , Zdobnov EM , Schook L , Womack J , Alioto T , Antonarakis SE , Astashyn A , Chapple CE , Chen HC , Chrast J , Camara F , Ermolaeva O , Henrichsen CN , Hlavina W , Kapustin Y , Kiryutin B , Kitts P , Kokocinski F , Landrum M , Maglott D , Pruitt K , Sapojnikov V , Searle SM , Solovyev V , Souvorov A , Ucla C , Wyss C , Anzola JM , Gerlach D , Elhaik E , Graur D , Reese JT , Edgar RC , McEwan JC , Payne GM , Raison JM , Junier T , Kriventseva EV , Eyras E , Plass M , Donthu R , Larkin DM , Reecy J , Yang MQ , Chen L , Cheng Z , Chitko-McKown CG , Liu GE , Matukumalli LK , Song J , Zhu B , Bradley DG , Brinkman FS , Lau LP , Whiteside MD , Walker A , Wheeler TT , Casey T , German JB , Lemay DG , Maqbool NJ , Molenaar AJ , Seo S , Stothard P , Baldwin CL , Baxter R , Brinkmeyer-Langford CL , Brown WC , Childers CP , Connelley T , Ellis SA , Fritz K , Glass EJ , Herzig CT , Iivanainen A , Lahmers KK , Bennett AK , Dickens CM , Gilbert JG , Hagen DE , Salih H , Aerts J , Caetano AR , Dalrymple B , Garcia JF , Gill CA , Hiendleder SG , Memili E , Spurlock D , Williams JL , Alexander L , Brownstein MJ , Guan L , Holt RA , Jones SJ , Marra MA , Moore R , Moore SS , Roberts A , Taniguchi M , Waterman RC , Chacko J , Chandrabose MM , Cree A , Dao MD , Dinh HH , Gabisi RA , Hines S , Hume J , Jhangiani SN , Joshi V , Kovar CL , Lewis LR , Liu YS , Lopez J , Morgan MB , Nguyen NB , Okwuonu GO , Ruiz SJ , Santibanez J , Wright RA , Buhay C , Ding Y , Dugan-Rocha S , Herdandez J , Holder M , Sabo A , Egan A , Goodell J , Wilczek-Boney K , Fowler GR , Hitchens ME , Lozado RJ , Moen C , Steffen D , Warren JT , Zhang J , Chiu R , Schein JE , Durbin KJ , Havlak P , Jiang H , Liu Y , Qin X , Ren Y , Shen Y , Song H , Bell SN , Davis C , Johnson AJ , Lee S , Nazareth LV , Patel BM , Pu LL , Vattathil S , Williams RL, Jr. , Curry S , Hamilton C , Sodergren E , Wheeler DA , Barris W , Bennett GL , Eggen A , Green RD , Harhay GP , Hobbs M , Jann O , Keele JW , Kent MP , Lien S , McKay SD , McWilliam S , Ratnakumar A , Schnabel RD , Smith T , Snelling WM , Sonstegard TS , Stone RT , Sugimoto Y , Takasuga A , Taylor JF , Van Tassell CP , Macneil MD , Abatepaulo AR , Abbey CA , Ahola V , Almeida IG , Amadio AF , Anatriello E , Bahadue SM , Biase FH , Boldt CR , Carroll JA , Carvalho WA , Cervelatti EP , Chacko E , Chapin JE , Cheng Y , Choi J , Colley AJ , de Campos TA , De Donato M , Santos IK , de Oliveira CJ , Deobald H , Devinoy E , Donohue KE , Dovc P , Eberlein A , Fitzsimmons CJ , Franzin AM , Garcia GR , Genini S , Gladney CJ , Grant JR , Greaser ML , Green JA , Hadsell DL , Hakimov HA , Halgren R , Harrow JL , Hart EA , Hastings N , Hernandez M , Hu ZL , Ingham A , Iso-Touru T , Jamis C , Jensen K , Kapetis D , Kerr T , Khalil SS , Khatib H , Kolbehdari D , Kumar CG , Kumar D , Leach R , Lee JC , Li C , Logan KM , Malinverni R , Marques E , Martin WF , Martins NF , Maruyama SR , Mazza R , McLean KL , Medrano JF , Moreno BT , More DD , Muntean CT , Nandakumar HP , Nogueira MF , Olsaker I , Pant SD , Panzitta F , Pastor RC , Poli MA , Poslusny N , Rachagani S , Ranganathan S , Razpet A , Riggs PK , Rincon G , Rodriguez-Osorio N , Rodriguez-Zas SL , Romero NE , Rosenwald A , Sando L , Schmutz SM , Shen L , Sherman L , Southey BR , Lutzow YS , Sweedler JV , Tammen I , Telugu BP , Urbanski JM , Utsunomiya YT , Verschoor CP , Waardenberg AJ , Wang Z , Ward R , Weikard R , Welsh TH, Jr. , White SN , Wilming LG , Wunderlich KR , Yang J , Zhao FQ
Ref : Science , 324 :522 , 2009
Abstract : To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.
ESTHER : Elsik_2009_Science_324_522
PubMedSearch : Elsik_2009_Science_324_522
PubMedID: 19390049
Gene_locus related to this paper: bovin-2neur , bovin-a0jnh8 , bovin-a5d7b7 , bovin-ACHE , bovin-balip , bovin-dpp4 , bovin-dpp6 , bovin-e1bi31 , bovin-e1bn79 , bovin-est8 , bovin-f1mbd6 , bovin-f1mi11 , bovin-f1mr65 , bovin-f1n1l4 , bovin-g3mxp5 , bovin-q0vcc8 , bovin-q2kj30 , bovin-q3t0r6 , bovin-thyro

Title : Characterization of 954 bovine full-CDS cDNA sequences - Harhay_2005_BMC.Genomics_6_166
Author(s) : Harhay GP , Sonstegard TS , Keele JW , Heaton MP , Clawson ML , Snelling WM , Wiedmann RT , Van Tassell CP , Smith TP
Ref : BMC Genomics , 6 :166 , 2005
Abstract : BACKGROUND: Genome assemblies rely on the existence of transcript sequence to stitch together contigs, verify assembly of whole genome shotgun reads, and annotate genes. Functional genomics studies also rely on transcript sequence to create expression microarrays or interpret digital tag data produced by methods such as Serial Analysis of Gene Expression (SAGE). Transcript sequence can be predicted based on reconstruction from overlapping expressed sequence tags (EST) that are obtained by single-pass sequencing of random cDNA clones, but these reconstructions are prone to errors caused by alternative splice forms, transcripts from gene families with related sequences, and expressed pseudogenes. These errors confound genome assembly and annotation. The most useful transcript sequences are derived by complete insert sequencing of clones containing the entire length, or at least the full protein coding sequence (CDS) portion, of the source mRNA. While the bovine genome sequencing initiative is nearing completion, there is currently a paucity of bovine full-CDS mRNA and protein sequence data to support bovine genome assembly and functional genomics studies. Consequently, the production of high-quality bovine full-CDS cDNA sequences will enhance the bovine genome assembly and functional studies of bovine genes and gene products. The goal of this investigation was to identify and characterize the full-CDS sequences of bovine transcripts from clones identified in non-full-length enriched cDNA libraries. In contrast to several recent full-length cDNA investigations, these full-CDS cDNAs were selected, sequenced, and annotated without the benefit of the target organism's genomic sequence, by using comparison of bovine EST sequence to existing human mRNA to identify likely full-CDS clones for full-length insert cDNA (FLIC) sequencing.
RESULTS: The predicted bovine protein lengths, 5' UTR lengths, and Kozak consensus sequences from 954 bovine FLIC sequences (bFLICs; average length 1713 nt, representing 762 distinct loci) are all consistent with previously sequenced mammalian full-length transcripts. CONCLUSION: In most cases, the bFLICs span the entire CDS of the genes, providing the basis for creating predicted bovine protein sequences to support proteomics and comparative evolutionary research as well as functional genomics and genome annotation. The results demonstrate the utility of the comparative approach in obtaining predicted protein sequences in other species.
ESTHER : Harhay_2005_BMC.Genomics_6_166
PubMedSearch : Harhay_2005_BMC.Genomics_6_166
PubMedID: 16305752
Gene_locus related to this paper: bovin-abhd2 , bovin-abhd4 , bovin-ABHD16A , bovin-ppme1 , bovin-ppt2 , bovin-ABHDA

Title : Sequence evaluation of four pooled-tissue normalized bovine cDNA libraries and construction of a gene index for cattle - Smith_2001_Genome.Res_11_626
Author(s) : Smith TP , Grosse WM , Freking BA , Roberts AJ , Stone RT , Casas E , Wray JE , White J , Cho J , Fahrenkrug SC , Bennett GL , Heaton MP , Laegreid WW , Rohrer GA , Chitko-McKown CG , Pertea G , Holt I , Karamycheva S , Liang F , Quackenbush J , Keele JW
Ref : Genome Res , 11 :626 , 2001
Abstract : An essential component of functional genomics studies is the sequence of DNA expressed in tissues of interest. To provide a resource of bovine-specific expressed sequence data and facilitate this powerful approach in cattle research, four normalized cDNA libraries were produced and arrayed for high-throughput sequencing. The libraries were made with RNA pooled from multiple tissues to increase efficiency of normalization and maximize the number of independent genes for which sequence data were obtained. Target tissues included those with highest likelihood to have impact on production parameters of animal health, growth, reproductive efficiency, and carcass merit. Success of normalization and inter- and intralibrary redundancy were assessed by collecting 6000-23,000 sequences from each of the libraries (68,520 total sequences deposited in GenBank). Sequence comparison and assembly of these sequences was performed in combination with 56,500 other bovine EST sequences present in the GenBank dbEST database to construct a cattle Gene Index (available from The Institute for Genomic Research at http:\/\/www.tigr.org/tdb/tgi.shtml). The 124,381 bovine ESTs present in GenBank at the time of the analysis form 16,740 assemblies that are listed and annotated on the Web site. Analysis of individual library sequence data indicates that the pooled-tissue approach was highly effective in preparing libraries for efficient deep sequencing.
ESTHER : Smith_2001_Genome.Res_11_626
PubMedSearch : Smith_2001_Genome.Res_11_626
PubMedID: 11282978
Gene_locus related to this paper: bovin-abhd2 , bovin-abhd4 , bovin-balip , bovin-LPLA2 , bovin-paf2 , bovin-ppme1 , bovin-q5e9h0 , bovin-ABHDA