region on BTA14 that includes the positional candidate genes LYPLA1, XKR4 and TMEM68 is associated with feed intake and growth phenotypes in cattle
Feed cost for beef cattle is the largest expense incurred by cattle producers. The development of genetic markers to enhance selection of more efficient animals that require less feed while still achieving acceptable levels of production has the potential to substantially reduce production costs. A...
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Veröffentlicht in: | Animal genetics 2012-04, Vol.43 (2), p.216-219 |
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creator | Lindholm-Perry, A.K Kuehn, L.A Smith, T.P.L Ferrell, C.L Jenkins, T.G Freetly, H.C Snelling, W.M |
description | Feed cost for beef cattle is the largest expense incurred by cattle producers. The development of genetic markers to enhance selection of more efficient animals that require less feed while still achieving acceptable levels of production has the potential to substantially reduce production costs. A genome-wide marker association approach based on the Illumina BovineSNP50 BeadChip was used to identify genomic regions affecting average daily feed intake (ADFI), average daily gain (ADG) and residual feed intake traits in a population of 1159 crossbred steers. This approach identified a region on BTA14 from 22.02 to 23.92 Mb containing several single-nucleotide polymorphisms (SNPs) that have significant association with at least one of the traits. Two genes in this region, lysophospholipase 1 (LYPLA1) and transmembrane protein 68 (TMEM68), appeared to be logical positional and functional candidate genes. LYPLA1 deacylates ghrelin, a hormone involved in the regulation of appetite in the rat stomach, while TMEM68 is expressed in bovine rumen, abomasum, intestine and adipose tissue in cattle, and likely affects lipid biosynthetic processes. SNPs lying in or near these two genes were identified by sequencing a subset of animals with extreme phenotypes. A total of 55 SNPs were genotyped and tested for association with the same population of steers. After correction for multiple testing, five markers within 22.79–22.84 Mb, located downstream of TMEM68, and between TMEM68 and the neighbouring gene XKR4, were significant for both ADFI and ADG. Genetic markers predictive of feed intake and weight gain phenotypes in this population of cattle may be useful for the identification and selection of animals that consume less feed, although further evaluation of these markers for effects on other production traits and validation in additional populations will be required. |
doi_str_mv | 10.1111/j.1365-2052.2011.02232.x |
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The development of genetic markers to enhance selection of more efficient animals that require less feed while still achieving acceptable levels of production has the potential to substantially reduce production costs. A genome-wide marker association approach based on the Illumina BovineSNP50 BeadChip was used to identify genomic regions affecting average daily feed intake (ADFI), average daily gain (ADG) and residual feed intake traits in a population of 1159 crossbred steers. This approach identified a region on BTA14 from 22.02 to 23.92 Mb containing several single-nucleotide polymorphisms (SNPs) that have significant association with at least one of the traits. Two genes in this region, lysophospholipase 1 (LYPLA1) and transmembrane protein 68 (TMEM68), appeared to be logical positional and functional candidate genes. LYPLA1 deacylates ghrelin, a hormone involved in the regulation of appetite in the rat stomach, while TMEM68 is expressed in bovine rumen, abomasum, intestine and adipose tissue in cattle, and likely affects lipid biosynthetic processes. SNPs lying in or near these two genes were identified by sequencing a subset of animals with extreme phenotypes. A total of 55 SNPs were genotyped and tested for association with the same population of steers. After correction for multiple testing, five markers within 22.79–22.84 Mb, located downstream of TMEM68, and between TMEM68 and the neighbouring gene XKR4, were significant for both ADFI and ADG. Genetic markers predictive of feed intake and weight gain phenotypes in this population of cattle may be useful for the identification and selection of animals that consume less feed, although further evaluation of these markers for effects on other production traits and validation in additional populations will be required.</description><identifier>ISSN: 1365-2052</identifier><identifier>ISSN: 0268-9146</identifier><identifier>EISSN: 1365-2052</identifier><identifier>DOI: 10.1111/j.1365-2052.2011.02232.x</identifier><identifier>PMID: 22404358</identifier><identifier>CODEN: ANGEE3</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>abomasum ; adipose tissue ; Animal Feed ; Animals ; beef cattle ; Cattle ; Cattle - genetics ; Cattle - growth & development ; Cattle - physiology ; chromosome mapping ; Chromosomes, Mammalian ; Eating ; feed intake ; feeds ; Genes ; Genetic Markers ; ghrelin ; growth ; intestines ; liveweight gain ; Lysophospholipase - genetics ; Lysophospholipase - metabolism ; lysophospholipase 1 ; Membrane Transport Proteins - genetics ; Membrane Transport Proteins - metabolism ; nucleotide sequences ; phenotype ; Polymorphism, Single Nucleotide ; rumen ; single nucleotide polymorphism ; steers ; transmembrane protein 68 ; transmembrane proteins ; Weaning ; weight gain ; XKR4</subject><ispartof>Animal genetics, 2012-04, Vol.43 (2), p.216-219</ispartof><rights>Animal Genetics © 2011 Stichting International Foundation for Animal Genetics. No claim to original US government works.</rights><rights>Animal Genetics © 2011 Stichting International Foundation for Animal Genetics. No claim to original US government works</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22404358$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lindholm-Perry, A.K</creatorcontrib><creatorcontrib>Kuehn, L.A</creatorcontrib><creatorcontrib>Smith, T.P.L</creatorcontrib><creatorcontrib>Ferrell, C.L</creatorcontrib><creatorcontrib>Jenkins, T.G</creatorcontrib><creatorcontrib>Freetly, H.C</creatorcontrib><creatorcontrib>Snelling, W.M</creatorcontrib><title>region on BTA14 that includes the positional candidate genes LYPLA1, XKR4 and TMEM68 is associated with feed intake and growth phenotypes in cattle</title><title>Animal genetics</title><addtitle>Anim Genet</addtitle><description>Feed cost for beef cattle is the largest expense incurred by cattle producers. The development of genetic markers to enhance selection of more efficient animals that require less feed while still achieving acceptable levels of production has the potential to substantially reduce production costs. A genome-wide marker association approach based on the Illumina BovineSNP50 BeadChip was used to identify genomic regions affecting average daily feed intake (ADFI), average daily gain (ADG) and residual feed intake traits in a population of 1159 crossbred steers. This approach identified a region on BTA14 from 22.02 to 23.92 Mb containing several single-nucleotide polymorphisms (SNPs) that have significant association with at least one of the traits. Two genes in this region, lysophospholipase 1 (LYPLA1) and transmembrane protein 68 (TMEM68), appeared to be logical positional and functional candidate genes. LYPLA1 deacylates ghrelin, a hormone involved in the regulation of appetite in the rat stomach, while TMEM68 is expressed in bovine rumen, abomasum, intestine and adipose tissue in cattle, and likely affects lipid biosynthetic processes. SNPs lying in or near these two genes were identified by sequencing a subset of animals with extreme phenotypes. A total of 55 SNPs were genotyped and tested for association with the same population of steers. After correction for multiple testing, five markers within 22.79–22.84 Mb, located downstream of TMEM68, and between TMEM68 and the neighbouring gene XKR4, were significant for both ADFI and ADG. Genetic markers predictive of feed intake and weight gain phenotypes in this population of cattle may be useful for the identification and selection of animals that consume less feed, although further evaluation of these markers for effects on other production traits and validation in additional populations will be required.</description><subject>abomasum</subject><subject>adipose tissue</subject><subject>Animal Feed</subject><subject>Animals</subject><subject>beef cattle</subject><subject>Cattle</subject><subject>Cattle - genetics</subject><subject>Cattle - growth & development</subject><subject>Cattle - physiology</subject><subject>chromosome mapping</subject><subject>Chromosomes, Mammalian</subject><subject>Eating</subject><subject>feed intake</subject><subject>feeds</subject><subject>Genes</subject><subject>Genetic Markers</subject><subject>ghrelin</subject><subject>growth</subject><subject>intestines</subject><subject>liveweight gain</subject><subject>Lysophospholipase - genetics</subject><subject>Lysophospholipase - metabolism</subject><subject>lysophospholipase 1</subject><subject>Membrane Transport Proteins - genetics</subject><subject>Membrane Transport Proteins - metabolism</subject><subject>nucleotide sequences</subject><subject>phenotype</subject><subject>Polymorphism, Single Nucleotide</subject><subject>rumen</subject><subject>single nucleotide polymorphism</subject><subject>steers</subject><subject>transmembrane protein 68</subject><subject>transmembrane proteins</subject><subject>Weaning</subject><subject>weight gain</subject><subject>XKR4</subject><issn>1365-2052</issn><issn>0268-9146</issn><issn>1365-2052</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkstu1DAUhiNERS_wCmCJBZsm9SW-ZDlUpaBOC4KpCivLiZ0ZTzNxiB21fQ5emNNOqRAbLEs-x_-n_0i_nWWI4ILAOloXhAmeU8xpQTEhBaaU0eL2Wbb3JDz_q97N9mNcY4wVkeRFtktpiUvG1V72a3RLH3oE-_1iRkqUViYh3zfdZF2EzqEhRJ-AMR1qTG-9NcmhpetBnv_4Mp-RQ_T97GuJQEOL85NzoZCPyMQYGg-oRTc-rVDroPJ9MtfugVyO4Qauh5XrQ7obwMz34J9S515mO63ponv1eB5klx9OFscf8_nn00_Hs3neMkZTXnNOqJDWGlE7XDoma0sN4a0QnBroSUW4aKyQnJd1q6SVTOBaKIXL2lSOHWTvtr7DGH5OLia98bFxXWd6F6aoKwFxSQZJ_ZekUjEs1D359h9yHaYRsoua8JLTipb8nnr9SE31xlk9jH5jxjv9510AyLeAj8ndPulmvNZCMsn11cWpJqK6UFdkoQnwb7Z8a4I2y9FHffkNfgbDpOIKw8jfFwOm6Q</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Lindholm-Perry, A.K</creator><creator>Kuehn, L.A</creator><creator>Smith, T.P.L</creator><creator>Ferrell, C.L</creator><creator>Jenkins, T.G</creator><creator>Freetly, H.C</creator><creator>Snelling, W.M</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>FBQ</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20120401</creationdate><title>region on BTA14 that includes the positional candidate genes LYPLA1, XKR4 and TMEM68 is associated with feed intake and growth phenotypes in cattle</title><author>Lindholm-Perry, A.K ; Kuehn, L.A ; Smith, T.P.L ; Ferrell, C.L ; Jenkins, T.G ; Freetly, H.C ; Snelling, W.M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f332t-b551267dda6be04e37bd2a15f6652a4e319156cd67554bf87d7360b68804ba9e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>abomasum</topic><topic>adipose tissue</topic><topic>Animal Feed</topic><topic>Animals</topic><topic>beef cattle</topic><topic>Cattle</topic><topic>Cattle - genetics</topic><topic>Cattle - growth & development</topic><topic>Cattle - physiology</topic><topic>chromosome mapping</topic><topic>Chromosomes, Mammalian</topic><topic>Eating</topic><topic>feed intake</topic><topic>feeds</topic><topic>Genes</topic><topic>Genetic Markers</topic><topic>ghrelin</topic><topic>growth</topic><topic>intestines</topic><topic>liveweight gain</topic><topic>Lysophospholipase - genetics</topic><topic>Lysophospholipase - metabolism</topic><topic>lysophospholipase 1</topic><topic>Membrane Transport Proteins - genetics</topic><topic>Membrane Transport Proteins - metabolism</topic><topic>nucleotide sequences</topic><topic>phenotype</topic><topic>Polymorphism, Single Nucleotide</topic><topic>rumen</topic><topic>single nucleotide polymorphism</topic><topic>steers</topic><topic>transmembrane protein 68</topic><topic>transmembrane proteins</topic><topic>Weaning</topic><topic>weight gain</topic><topic>XKR4</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lindholm-Perry, A.K</creatorcontrib><creatorcontrib>Kuehn, L.A</creatorcontrib><creatorcontrib>Smith, T.P.L</creatorcontrib><creatorcontrib>Ferrell, C.L</creatorcontrib><creatorcontrib>Jenkins, T.G</creatorcontrib><creatorcontrib>Freetly, H.C</creatorcontrib><creatorcontrib>Snelling, W.M</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Animal genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lindholm-Perry, A.K</au><au>Kuehn, L.A</au><au>Smith, T.P.L</au><au>Ferrell, C.L</au><au>Jenkins, T.G</au><au>Freetly, H.C</au><au>Snelling, W.M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>region on BTA14 that includes the positional candidate genes LYPLA1, XKR4 and TMEM68 is associated with feed intake and growth phenotypes in cattle</atitle><jtitle>Animal genetics</jtitle><addtitle>Anim Genet</addtitle><date>2012-04-01</date><risdate>2012</risdate><volume>43</volume><issue>2</issue><spage>216</spage><epage>219</epage><pages>216-219</pages><issn>1365-2052</issn><issn>0268-9146</issn><eissn>1365-2052</eissn><coden>ANGEE3</coden><abstract>Feed cost for beef cattle is the largest expense incurred by cattle producers. The development of genetic markers to enhance selection of more efficient animals that require less feed while still achieving acceptable levels of production has the potential to substantially reduce production costs. A genome-wide marker association approach based on the Illumina BovineSNP50 BeadChip was used to identify genomic regions affecting average daily feed intake (ADFI), average daily gain (ADG) and residual feed intake traits in a population of 1159 crossbred steers. This approach identified a region on BTA14 from 22.02 to 23.92 Mb containing several single-nucleotide polymorphisms (SNPs) that have significant association with at least one of the traits. Two genes in this region, lysophospholipase 1 (LYPLA1) and transmembrane protein 68 (TMEM68), appeared to be logical positional and functional candidate genes. LYPLA1 deacylates ghrelin, a hormone involved in the regulation of appetite in the rat stomach, while TMEM68 is expressed in bovine rumen, abomasum, intestine and adipose tissue in cattle, and likely affects lipid biosynthetic processes. SNPs lying in or near these two genes were identified by sequencing a subset of animals with extreme phenotypes. A total of 55 SNPs were genotyped and tested for association with the same population of steers. After correction for multiple testing, five markers within 22.79–22.84 Mb, located downstream of TMEM68, and between TMEM68 and the neighbouring gene XKR4, were significant for both ADFI and ADG. Genetic markers predictive of feed intake and weight gain phenotypes in this population of cattle may be useful for the identification and selection of animals that consume less feed, although further evaluation of these markers for effects on other production traits and validation in additional populations will be required.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>22404358</pmid><doi>10.1111/j.1365-2052.2011.02232.x</doi><tpages>4</tpages></addata></record> |
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subjects | abomasum adipose tissue Animal Feed Animals beef cattle Cattle Cattle - genetics Cattle - growth & development Cattle - physiology chromosome mapping Chromosomes, Mammalian Eating feed intake feeds Genes Genetic Markers ghrelin growth intestines liveweight gain Lysophospholipase - genetics Lysophospholipase - metabolism lysophospholipase 1 Membrane Transport Proteins - genetics Membrane Transport Proteins - metabolism nucleotide sequences phenotype Polymorphism, Single Nucleotide rumen single nucleotide polymorphism steers transmembrane protein 68 transmembrane proteins Weaning weight gain XKR4 |
title | region on BTA14 that includes the positional candidate genes LYPLA1, XKR4 and TMEM68 is associated with feed intake and growth phenotypes in cattle |
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