Wilczek-Boney K

References (2)

Title : A catalog of reference genomes from the human microbiome - Nelson_2010_Science_328_994
Author(s) : Nelson KE , Weinstock GM , Highlander SK , Worley KC , Creasy HH , Wortman JR , Rusch DB , Mitreva M , Sodergren E , Chinwalla AT , Feldgarden M , Gevers D , Haas BJ , Madupu R , Ward DV , Birren BW , Gibbs RA , Methe B , Petrosino JF , Strausberg RL , Sutton GG , White OR , Wilson RK , Durkin S , Giglio MG , Gujja S , Howarth C , Kodira CD , Kyrpides N , Mehta T , Muzny DM , Pearson M , Pepin K , Pati A , Qin X , Yandava C , Zeng Q , Zhang L , Berlin AM , Chen L , Hepburn TA , Johnson J , McCorrison J , Miller J , Minx P , Nusbaum C , Russ C , Sykes SM , Tomlinson CM , Young S , Warren WC , Badger J , Crabtree J , Markowitz VM , Orvis J , Cree A , Ferriera S , Fulton LL , Fulton RS , Gillis M , Hemphill LD , Joshi V , Kovar C , Torralba M , Wetterstrand KA , Abouellleil A , Wollam AM , Buhay CJ , Ding Y , Dugan S , Fitzgerald MG , Holder M , Hostetler J , Clifton SW , Allen-Vercoe E , Earl AM , Farmer CN , Liolios K , Surette MG , Xu Q , Pohl C , Wilczek-Boney K , Zhu D
Ref : Science , 328 :994 , 2010
Abstract : The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified ("novel") polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (approximately 97%) were unique. In addition, this set of microbial genomes allows for approximately 40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.
ESTHER : Nelson_2010_Science_328_994
PubMedSearch : Nelson_2010_Science_328_994
PubMedID: 20489017
Gene_locus related to this paper: strp2-q04l35 , strpn-AXE1 , strpn-pepx

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