• Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

The genome sequence of taurine cattle: a window to ruminant biology and evolution.

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.

Pubmed ID: 19390049

Authors

  • Bovine Genome Sequencing and Analysis Consortium
  • Elsik CG
  • Tellam RL
  • Worley KC
  • Gibbs RA
  • Muzny DM
  • Weinstock GM
  • Adelson DL
  • Eichler EE
  • Elnitski L
  • Guigó 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
  • Câmara 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
  • 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
  • Moré 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
  • White SN
  • Wilming LG
  • Wunderlich KR
  • Yang J
  • Zhao FQ

Journal

Science (New York, N.Y.)

Publication Data

April 24, 2009

Associated Grants

  • Agency: Wellcome Trust, Id: 062023
  • Agency: Wellcome Trust, Id: 077198
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BBS/B/13438
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BBS/B/13446
  • Agency: NIDA NIH HHS, Id: P30 DA018310
  • Agency: NHGRI NIH HHS, Id: U54 HG003273
  • Agency: NHGRI NIH HHS, Id: U54 HG003273
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-04
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-04S1
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-05
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-05S1
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-05S2
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-06
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-06S1
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-06S2
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-07
  • Agency: NHGRI NIH HHS, Id: U54 HG003273-08

Mesh Terms

  • Alternative Splicing
  • Animals
  • Animals, Domestic
  • Biological Evolution
  • Cattle
  • Evolution, Molecular
  • Female
  • Genetic Variation
  • Genome
  • Humans
  • Male
  • MicroRNAs
  • Molecular Sequence Data
  • Proteins
  • Sequence Analysis, DNA
  • Species Specificity
  • Synteny