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  • 1
    Publication Date: 2009-04-25
    Description: The imprints of domestication and breed development on the genomes of livestock likely differ from those of companion animals. A deep draft sequence assembly of shotgun reads from a single Hereford female and comparative sequences sampled from six additional breeds were used to develop probes to interrogate 37,470 single-nucleotide polymorphisms (SNPs) in 497 cattle from 19 geographically and biologically diverse breeds. These data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation. Domestication and artificial selection appear to have left detectable signatures of selection within the cattle genome, yet the current levels of diversity within breeds are at least as great as exists within humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735092/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735092/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bovine HapMap Consortium -- Gibbs, Richard A -- Taylor, Jeremy F -- Van Tassell, Curtis P -- Barendse, William -- Eversole, Kellye A -- Gill, Clare A -- Green, Ronnie D -- Hamernik, Debora L -- Kappes, Steven M -- Lien, Sigbjorn -- Matukumalli, Lakshmi K -- McEwan, John C -- Nazareth, Lynne V -- Schnabel, Robert D -- Weinstock, George M -- Wheeler, David A -- Ajmone-Marsan, Paolo -- Boettcher, Paul J -- Caetano, Alexandre R -- Garcia, Jose Fernando -- Hanotte, Olivier -- Mariani, Paola -- Skow, Loren C -- Sonstegard, Tad S -- Williams, John L -- Diallo, Boubacar -- Hailemariam, Lemecha -- Martinez, Mario L -- Morris, Chris A -- Silva, Luiz O C -- Spelman, Richard J -- Mulatu, Woudyalew -- Zhao, Keyan -- Abbey, Colette A -- Agaba, Morris -- Araujo, Flabio R -- Bunch, Rowan J -- Burton, James -- Gorni, Chiara -- Olivier, Hanotte -- Harrison, Blair E -- Luff, Bill -- Machado, Marco A -- Mwakaya, Joel -- Plastow, Graham -- Sim, Warren -- Smith, Timothy -- Thomas, Merle B -- Valentini, Alessio -- Williams, Paul -- Womack, James -- Woolliams, John A -- Liu, Yue -- Qin, Xiang -- Worley, Kim C -- Gao, Chuan -- Jiang, Huaiyang -- Moore, Stephen S -- Ren, Yanru -- Song, Xing-Zhi -- Bustamante, Carlos D -- Hernandez, Ryan D -- Muzny, Donna M -- Patil, Shobha -- San Lucas, Anthony -- Fu, Qing -- Kent, Matthew P -- Vega, Richard -- Matukumalli, Aruna -- McWilliam, Sean -- Sclep, Gert -- Bryc, Katarzyna -- Choi, Jungwoo -- Gao, Hong -- Grefenstette, John J -- Murdoch, Brenda -- Stella, Alessandra -- Villa-Angulo, Rafael -- Wright, Mark -- Aerts, Jan -- Jann, Oliver -- Negrini, Riccardo -- Goddard, Mike E -- Hayes, Ben J -- Bradley, Daniel G -- Barbosa da Silva, Marcos -- Lau, Lilian P L -- Liu, George E -- Lynn, David J -- Panzitta, Francesca -- Dodds, Ken G -- R01 GM083606/GM/NIGMS NIH HHS/ -- R01 GM083606-02/GM/NIGMS NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2009 Apr 24;324(5926):528-32. doi: 10.1126/science.1167936.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19390050" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Breeding ; Cattle/*genetics ; Female ; Gene Frequency ; *Genetic Variation ; *Genome ; Male ; Molecular Sequence Data ; Mutation ; *Polymorphism, Single Nucleotide ; Population Density
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2009-04-25
    Description: 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.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943200/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943200/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bovine Genome Sequencing and Analysis Consortium -- Elsik, Christine G -- Tellam, Ross L -- Worley, Kim C -- Gibbs, Richard A -- Muzny, Donna M -- Weinstock, George M -- Adelson, David L -- Eichler, Evan E -- Elnitski, Laura -- Guigo, Roderic -- Hamernik, Debora L -- Kappes, Steve M -- Lewin, Harris A -- Lynn, David J -- Nicholas, Frank W -- Reymond, Alexandre -- Rijnkels, Monique -- Skow, Loren C -- Zdobnov, Evgeny M -- Schook, Lawrence -- Womack, James -- Alioto, Tyler -- Antonarakis, Stylianos E -- Astashyn, Alex -- Chapple, Charles E -- Chen, Hsiu-Chuan -- Chrast, Jacqueline -- Camara, Francisco -- Ermolaeva, Olga -- Henrichsen, Charlotte N -- Hlavina, Wratko -- Kapustin, Yuri -- Kiryutin, Boris -- Kitts, Paul -- Kokocinski, Felix -- Landrum, Melissa -- Maglott, Donna -- Pruitt, Kim -- Sapojnikov, Victor -- Searle, Stephen M -- Solovyev, Victor -- Souvorov, Alexandre -- Ucla, Catherine -- Wyss, Carine -- Anzola, Juan M -- Gerlach, Daniel -- Elhaik, Eran -- Graur, Dan -- Reese, Justin T -- Edgar, Robert C -- McEwan, John C -- Payne, Gemma M -- Raison, Joy M -- Junier, Thomas -- Kriventseva, Evgenia V -- Eyras, Eduardo -- Plass, Mireya -- Donthu, Ravikiran -- Larkin, Denis M -- Reecy, James -- Yang, Mary Q -- Chen, Lin -- Cheng, Ze -- Chitko-McKown, Carol G -- Liu, George E -- Matukumalli, Lakshmi K -- Song, Jiuzhou -- Zhu, Bin -- Bradley, Daniel G -- Brinkman, Fiona S L -- Lau, Lilian P L -- Whiteside, Matthew D -- Walker, Angela -- Wheeler, Thomas T -- Casey, Theresa -- German, J Bruce -- Lemay, Danielle G -- Maqbool, Nauman J -- Molenaar, Adrian J -- Seo, Seongwon -- Stothard, Paul -- Baldwin, Cynthia L -- Baxter, Rebecca -- Brinkmeyer-Langford, Candice L -- Brown, Wendy C -- Childers, Christopher P -- Connelley, Timothy -- Ellis, Shirley A -- Fritz, Krista -- Glass, Elizabeth J -- Herzig, Carolyn T A -- Iivanainen, Antti -- Lahmers, Kevin K -- Bennett, Anna K -- Dickens, C Michael -- Gilbert, James G R -- Hagen, Darren E -- Salih, Hanni -- Aerts, Jan -- Caetano, Alexandre R -- Dalrymple, Brian -- Garcia, Jose Fernando -- Gill, Clare A -- Hiendleder, Stefan G -- Memili, Erdogan -- Spurlock, Diane -- Williams, John L -- Alexander, Lee -- Brownstein, Michael J -- Guan, Leluo -- Holt, Robert A -- Jones, Steven J M -- Marra, Marco A -- Moore, Richard -- Moore, Stephen S -- Roberts, Andy -- Taniguchi, Masaaki -- Waterman, Richard C -- Chacko, Joseph -- Chandrabose, Mimi M -- Cree, Andy -- Dao, Marvin Diep -- Dinh, Huyen H -- Gabisi, Ramatu Ayiesha -- Hines, Sandra -- Hume, Jennifer -- Jhangiani, Shalini N -- Joshi, Vandita -- Kovar, Christie L -- Lewis, Lora R -- Liu, Yih-Shin -- Lopez, John -- Morgan, Margaret B -- Nguyen, Ngoc Bich -- Okwuonu, Geoffrey O -- Ruiz, San Juana -- Santibanez, Jireh -- Wright, Rita A -- Buhay, Christian -- Ding, Yan -- Dugan-Rocha, Shannon -- Herdandez, Judith -- Holder, Michael -- Sabo, Aniko -- Egan, Amy -- Goodell, Jason -- Wilczek-Boney, Katarzyna -- Fowler, Gerald R -- Hitchens, Matthew Edward -- Lozado, Ryan J -- Moen, Charles -- Steffen, David -- Warren, James T -- Zhang, Jingkun -- Chiu, Readman -- Schein, Jacqueline E -- Durbin, K James -- Havlak, Paul -- Jiang, Huaiyang -- Liu, Yue -- Qin, Xiang -- Ren, Yanru -- Shen, Yufeng -- Song, Henry -- Bell, Stephanie Nicole -- Davis, Clay -- Johnson, Angela Jolivet -- Lee, Sandra -- Nazareth, Lynne V -- Patel, Bella Mayurkumar -- Pu, Ling-Ling -- Vattathil, Selina -- Williams, Rex Lee Jr -- Curry, Stacey -- Hamilton, Cerissa -- Sodergren, Erica -- Wheeler, David A -- Barris, Wes -- Bennett, Gary L -- Eggen, Andre -- Green, Ronnie D -- Harhay, Gregory P -- Hobbs, Matthew -- Jann, Oliver -- Keele, John W -- Kent, Matthew P -- Lien, Sigbjorn -- McKay, Stephanie D -- McWilliam, Sean -- Ratnakumar, Abhirami -- Schnabel, Robert D -- Smith, Timothy -- Snelling, Warren M -- Sonstegard, Tad S -- Stone, Roger T -- Sugimoto, Yoshikazu -- Takasuga, Akiko -- Taylor, Jeremy F -- Van Tassell, Curtis P -- Macneil, Michael D -- Abatepaulo, Antonio R R -- Abbey, Colette A -- Ahola, Virpi -- Almeida, Iassudara G -- Amadio, Ariel F -- Anatriello, Elen -- Bahadue, Suria M -- Biase, Fernando H -- Boldt, Clayton R -- Carroll, Jeffery A -- Carvalho, Wanessa A -- Cervelatti, Eliane P -- Chacko, Elsa -- Chapin, Jennifer E -- Cheng, Ye -- Choi, Jungwoo -- Colley, Adam J -- de Campos, Tatiana A -- De Donato, Marcos -- Santos, Isabel K F de Miranda -- de Oliveira, Carlo J F -- Deobald, Heather -- Devinoy, Eve -- Donohue, Kaitlin E -- Dovc, Peter -- Eberlein, Annett -- Fitzsimmons, Carolyn J -- Franzin, Alessandra M -- Garcia, Gustavo R -- Genini, Sem -- Gladney, Cody J -- Grant, Jason R -- Greaser, Marion L -- Green, Jonathan A -- Hadsell, Darryl L -- Hakimov, Hatam A -- Halgren, Rob -- Harrow, Jennifer L -- Hart, Elizabeth A -- Hastings, Nicola -- Hernandez, Marta -- Hu, Zhi-Liang -- Ingham, Aaron -- Iso-Touru, Terhi -- Jamis, Catherine -- Jensen, Kirsty -- Kapetis, Dimos -- Kerr, Tovah -- Khalil, Sari S -- Khatib, Hasan -- Kolbehdari, Davood -- Kumar, Charu G -- Kumar, Dinesh -- Leach, Richard -- Lee, Justin C-M -- Li, Changxi -- Logan, Krystin M -- Malinverni, Roberto -- Marques, Elisa -- Martin, William F -- Martins, Natalia F -- Maruyama, Sandra R -- Mazza, Raffaele -- McLean, Kim L -- Medrano, Juan F -- Moreno, Barbara T -- More, Daniela D -- Muntean, Carl T -- Nandakumar, Hari P -- Nogueira, Marcelo F G -- Olsaker, Ingrid -- Pant, Sameer D -- Panzitta, Francesca -- Pastor, Rosemeire C P -- Poli, Mario A -- Poslusny, Nathan -- Rachagani, Satyanarayana -- Ranganathan, Shoba -- Razpet, Andrej -- Riggs, Penny K -- Rincon, Gonzalo -- Rodriguez-Osorio, Nelida -- Rodriguez-Zas, Sandra L -- Romero, Natasha E -- Rosenwald, Anne -- Sando, Lillian -- Schmutz, Sheila M -- Shen, Libing -- Sherman, Laura -- Southey, Bruce R -- Lutzow, Ylva Strandberg -- Sweedler, Jonathan V -- Tammen, Imke -- Telugu, Bhanu Prakash V L -- Urbanski, Jennifer M -- Utsunomiya, Yuri T -- Verschoor, Chris P -- Waardenberg, Ashley J -- Wang, Zhiquan -- Ward, Robert -- Weikard, Rosemarie -- Welsh, Thomas H Jr -- White, Stephen N -- Wilming, Laurens G -- Wunderlich, Kris R -- Yang, Jianqi -- Zhao, Feng-Qi -- 062023/Wellcome Trust/United Kingdom -- 077198/Wellcome Trust/United Kingdom -- BBS/B/13438/Biotechnology and Biological Sciences Research Council/United Kingdom -- BBS/B/13446/Biotechnology and Biological Sciences Research Council/United Kingdom -- P30 DA018310/DA/NIDA NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- U54 HG003273-04/HG/NHGRI NIH HHS/ -- U54 HG003273-04S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05/HG/NHGRI NIH HHS/ -- U54 HG003273-05S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05S2/HG/NHGRI NIH HHS/ -- U54 HG003273-06/HG/NHGRI NIH HHS/ -- U54 HG003273-06S1/HG/NHGRI NIH HHS/ -- U54 HG003273-06S2/HG/NHGRI NIH HHS/ -- U54 HG003273-07/HG/NHGRI NIH HHS/ -- U54 HG003273-08/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2009 Apr 24;324(5926):522-8. doi: 10.1126/science.1169588.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19390049" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Animals ; Animals, Domestic ; *Biological Evolution ; Cattle ; Evolution, Molecular ; Female ; Genetic Variation ; *Genome ; Humans ; Male ; MicroRNAs/genetics ; Molecular Sequence Data ; Proteins/genetics ; Sequence Analysis, DNA ; Species Specificity ; Synteny
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2014-06-07
    Description: Sheep (Ovis aries) are a major source of meat, milk, and fiber in the form of wool and represent a distinct class of animals that have a specialized digestive organ, the rumen, that carries out the initial digestion of plant material. We have developed and analyzed a high-quality reference sheep genome and transcriptomes from 40 different tissues. We identified highly expressed genes encoding keratin cross-linking proteins associated with rumen evolution. We also identified genes involved in lipid metabolism that had been amplified and/or had altered tissue expression patterns. This may be in response to changes in the barrier lipids of the skin, an interaction between lipid metabolism and wool synthesis, and an increased role of volatile fatty acids in ruminants compared with nonruminant animals.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157056/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157056/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jiang, Yu -- Xie, Min -- Chen, Wenbin -- Talbot, Richard -- Maddox, Jillian F -- Faraut, Thomas -- Wu, Chunhua -- Muzny, Donna M -- Li, Yuxiang -- Zhang, Wenguang -- Stanton, Jo-Ann -- Brauning, Rudiger -- Barris, Wesley C -- Hourlier, Thibaut -- Aken, Bronwen L -- Searle, Stephen M J -- Adelson, David L -- Bian, Chao -- Cam, Graham R -- Chen, Yulin -- Cheng, Shifeng -- DeSilva, Udaya -- Dixen, Karen -- Dong, Yang -- Fan, Guangyi -- Franklin, Ian R -- Fu, Shaoyin -- Fuentes-Utrilla, Pablo -- Guan, Rui -- Highland, Margaret A -- Holder, Michael E -- Huang, Guodong -- Ingham, Aaron B -- Jhangiani, Shalini N -- Kalra, Divya -- Kovar, Christie L -- Lee, Sandra L -- Liu, Weiqing -- Liu, Xin -- Lu, Changxin -- Lv, Tian -- Mathew, Tittu -- McWilliam, Sean -- Menzies, Moira -- Pan, Shengkai -- Robelin, David -- Servin, Bertrand -- Townley, David -- Wang, Wenliang -- Wei, Bin -- White, Stephen N -- Yang, Xinhua -- Ye, Chen -- Yue, Yaojing -- Zeng, Peng -- Zhou, Qing -- Hansen, Jacob B -- Kristiansen, Karsten -- Gibbs, Richard A -- Flicek, Paul -- Warkup, Christopher C -- Jones, Huw E -- Oddy, V Hutton -- Nicholas, Frank W -- McEwan, John C -- Kijas, James W -- Wang, Jun -- Worley, Kim C -- Archibald, Alan L -- Cockett, Noelle -- Xu, Xun -- Wang, Wen -- Dalrymple, Brian P -- 095908/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- BB/1025360/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/I025328/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/I025360/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/I025506/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- U54 HG003273/HG/NHGRI NIH HHS/ -- WT095908/Wellcome Trust/United Kingdom -- WT098051/Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2014 Jun 6;344(6188):1168-73. doi: 10.1126/science.1252806.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China. Commonwealth Scientific and Industrial Research Organisation Animal Food and Health Sciences, St Lucia, QLD 4067, Australia. College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China. ; BGI-Shenzhen, Shenzhen 518083, China. ; Ediburgh Genomics, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK. ; Utah State University, Logan, UT 84322-4815, USA. ; Institut National de la Recherche Agronomique, Laboratoire de Genetique Cellulaire, UMR 444, Castanet-Tolosan F-31326, France. ; Utah State University, Logan, UT 84322-1435, USA. ; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA. ; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China. Inner Mongolia Agricultural University, Hohhot 010018, China. Institute of ATCG, Nei Mongol Bio-Information, Hohhot, China. ; Department of Anatomy, University of Otago, Dunedin 9054, New Zealand. ; AgResearch, Invermay Agricultural Centre, Mosgiel 9053, New Zealand. ; Commonwealth Scientific and Industrial Research Organisation Animal Food and Health Sciences, St Lucia, QLD 4067, Australia. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. ; College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China. ; Department of Biology, University of Copenhagen, DK-2100 Copenhagen O, Denmark. ; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China. ; Inner Mongolia Agricultural University, Hohhot 010018, China. ; U.S. Department of Agriculture Agricultural Research Service Animal Disease Research Unit, Pullman, WA 99164, USA. Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA 99164, USA. ; BGI-Shenzhen, Shenzhen 518083, China. Maize Research Institute, Sichuan Agricultural University, Chengdu 611130, China. ; Lanzhou Institute of Husbandry and Pharmaceutical Science, Lanzhou, 730050, China. ; Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark. ; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. ; Biosciences Knowledge Transfer Network, The Roslin Institute, Easter Bush, Midlothian, EH25 9RG, UK. ; School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia. ; Faculty of Veterinary Science, University of Sydney, NSW 2006, Australia. ; BGI-Shenzhen, Shenzhen 518083, China. Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Macau University of Science and Technology, Macau 999078, China. ; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA. brian.dalrymple@csiro.au wwang@mail.kiz.ac.cn xuxun@genomics.cn alan.archibald@roslin.ed.ac.uk kworley@bcm.edu noelle.cockett@usu.edu. ; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK. brian.dalrymple@csiro.au wwang@mail.kiz.ac.cn xuxun@genomics.cn alan.archibald@roslin.ed.ac.uk kworley@bcm.edu noelle.cockett@usu.edu. ; Utah State University, Logan, UT 84322-1435, USA. brian.dalrymple@csiro.au wwang@mail.kiz.ac.cn xuxun@genomics.cn alan.archibald@roslin.ed.ac.uk kworley@bcm.edu noelle.cockett@usu.edu. ; BGI-Shenzhen, Shenzhen 518083, China. brian.dalrymple@csiro.au wwang@mail.kiz.ac.cn xuxun@genomics.cn alan.archibald@roslin.ed.ac.uk kworley@bcm.edu noelle.cockett@usu.edu. ; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China. brian.dalrymple@csiro.au wwang@mail.kiz.ac.cn xuxun@genomics.cn alan.archibald@roslin.ed.ac.uk kworley@bcm.edu noelle.cockett@usu.edu. ; Commonwealth Scientific and Industrial Research Organisation Animal Food and Health Sciences, St Lucia, QLD 4067, Australia. brian.dalrymple@csiro.au wwang@mail.kiz.ac.cn xuxun@genomics.cn alan.archibald@roslin.ed.ac.uk kworley@bcm.edu noelle.cockett@usu.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24904168" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Fatty Acids, Volatile/metabolism/physiology ; Gene Expression Regulation ; Genome ; Keratins, Hair-Specific/genetics ; Lipid Metabolism/genetics/*physiology ; Molecular Sequence Data ; Phylogeny ; Rumen/metabolism/*physiology ; Sheep, Domestic/classification/*genetics/*metabolism ; Transcriptome ; Wool/growth & development
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 92 (1996), S. 966-975 
    ISSN: 1432-2242
    Keywords: Key words Parentage tests ; Exclusion probabilities ; Genetic markers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Pedigree testing, using genetic markers, may be undertaken for a variety of situations, of which the classical paternity testing is only one. This has not always been made clear in the literature. Exclusion probabilities associated with various testing situations, including the use of autosomal or X-linked codominant marker systems with any number of alleles, are presented. These formulae can be used to determine the appropriate exclusion probability for the situation being investigated. One such situation is where sire groups of progeny are to be verified without knowledge of the dams’ genotypes, in which case the classical paternity exclusion probability is too high, and if used may result in an optimistic declaration about the progeny that have not been excluded. On the other hand, if mating pairs are known then incorrect progeny can be excluded at a higher rate than suggested by paternity exclusion calculations. The formulae also assist in determining the usefulness of X-linked markers, particularly if the pedigree checks involve progeny of only one sex. A system of notation that is useful for the algebraic manipulation of genetic probabilities, including exclusion probabilities as presented here, is also given.
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 92 (1996), S. 966-975 
    ISSN: 1432-2242
    Keywords: Parentage tests ; Exclusion probabilities ; Genetic markers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Pedigree testing, using genetic markers, may be undertaken for a variety of situations, of which the classical paternity testing is only one. This has not always been made clear in the literature. Exclusion probabilities associated with various testing situations, including the use of autosomal or X-linked codominant marker systems with any number of alleles, are presented. These formulae can be used to determine the appropriate exclusion probability for the situation being investigated. One such situation is where sire groups of progeny are to be verified without knowledge of the dams' genotypes, in which case the classical paternity exclusion probability is too high, and if used may result in an optimistic declaration about the progeny that have not been excluded. On the other hand, if mating pairs are known then incorrect progeny can be excluded at a higher rate than suggested by paternity exclusion calculations. The formulae also assist in determining the usefulness of X-linked markers, particularly if the pedigree checks involve progeny of only one sex. A system of notation that is useful for the algebraic manipulation of genetic probabilities, including exclusion probabilities as presented here, is also given.
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  • 6
    ISSN: 1573-2657
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Summary The generation of myotubes was studied in the tibialis cranialis muscle in the sheep hindlimb from the earliest stage of primary myotube formation until a stage shortly before muscle fascicles began to segregate. Primary myotubes were first seen on embryonic day 32 (E32) and reached their maximum number by E38. Small numbers of secondary myotubes were first identified at E38, and secondary myotube numbers continued to increase during the period of study. The ratio of adult muscle fibre to primary myotube numbers was approximately 70∶1, making it seem unlikely that every later generation myotube used a primary myotube as scaffold for its formation, as described in small mammals. By E62, some secondary myotubes were supporting the formation of a third generation of myotubes. Experiments with diffusible dye markers showed that primary myotubes extended from tendon to tendon of the muscle, whereas most adult fibres ran for only part of the muscle length, terminating with myo-myonal attachments to other muscle fibres in a series arrangement. Acetylcholinesterase (AChE) and acetylcholine receptor (AChR) aggregations appeared in multiple bands across the muscle shortly after formation of the primary generation of myotubes was complete. The number of bands and their pattern of distribution across the muscle as they were first formed was the same as in the adult. Primary myotubes teased from early muscles had multiple focal AChE and AChR deposits regularly spaced along their lengths. We suggest that the secondary generation of myotubes forms at endplate sites in a series arrangement along the length of single primary myotubes, and that tertiary and possibly later generations of myotubes in their turn use the earlier generation myofibres as a scaffold. Although the fundamental cellular mechanisms appear to be similar, the process of muscle fibre generation in large mammalian muscles is more complex than that described from previous studies in small laboratory rodents.
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