Towards an integrated approach to study SNPs and expression of candidate genes associated with milk protein biosynthesis
MilkProtChip is oligonucleotide microarray allowing bovine genotyping based on single nucleotide polymorphisms (SNPs) in genes influencing milk protein biosynthesis. A total of 71 SNPs in 42 genes were selected as associated with milk protein biosynthesis. Genotyping of about 300 animals of Polish B...
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| Veröffentlicht in: | Russian journal of genetics 2008-04, Vol.44 (4), p.459-465 |
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| container_title | Russian journal of genetics |
| container_volume | 44 |
| creator | Kamiński, S. Malewski, T. Ahman, A. Wójcik, E. Ruść, A. Oleński, K. Jakubczak, A. Sazanov, A. A. |
| description | MilkProtChip is oligonucleotide microarray allowing bovine genotyping based on single nucleotide polymorphisms (SNPs) in genes influencing milk protein biosynthesis. A total of 71 SNPs in 42 genes were selected as associated with milk protein biosynthesis. Genotyping of about 300 animals of Polish Black-and-White cattle showed that SNPs in acyl-CoA:1,2-diacylglycerol O-transferase (
DGAT1
), lactoferrin (
LTF
), casein kappa (
CSN3
) and growth hormone receptor (
GHR
) genes were associated with several milk performance traits. Analysis of correlations between SNPs and milk production traits showed that SNPs in single genes rarely affect the investigated traits. Only 4 of 42 investigated single SNPs had impact on milk production traits while 22 combinations of paired SNPs in these genes had impact. Positive effect SNP combinations in two genes can be a result of additive effect on these SNPs on the same traits or effect of genes interaction. The MilkBovExp chip representing 90 genes encoding transcription factors expressed in the bovine mammary gland and/or involved in mammary gland signaling pathways was designed for further investigation of impact of gene expression and/or its encoded products on milk traits performance. |
| doi_str_mv | 10.1134/S1022795408040121 |
| format | Article |
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DGAT1
), lactoferrin (
LTF
), casein kappa (
CSN3
) and growth hormone receptor (
GHR
) genes were associated with several milk performance traits. Analysis of correlations between SNPs and milk production traits showed that SNPs in single genes rarely affect the investigated traits. Only 4 of 42 investigated single SNPs had impact on milk production traits while 22 combinations of paired SNPs in these genes had impact. Positive effect SNP combinations in two genes can be a result of additive effect on these SNPs on the same traits or effect of genes interaction. The MilkBovExp chip representing 90 genes encoding transcription factors expressed in the bovine mammary gland and/or involved in mammary gland signaling pathways was designed for further investigation of impact of gene expression and/or its encoded products on milk traits performance.</description><identifier>ISSN: 1022-7954</identifier><identifier>EISSN: 1608-3369</identifier><identifier>DOI: 10.1134/S1022795408040121</identifier><language>eng</language><publisher>Dordrecht: SP MAIK Nauka/Interperiodica</publisher><subject>Animal Genetics ; Animal Genetics and Genomics ; Biomedical and Life Sciences ; Biomedicine ; Human Genetics ; Microbial Genetics and Genomics</subject><ispartof>Russian journal of genetics, 2008-04, Vol.44 (4), p.459-465</ispartof><rights>MAIK Nauka 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-550e2496940290ace50dc3df7a938e03968f3e6a1302d9b68b69378e58654bd63</citedby><cites>FETCH-LOGICAL-c320t-550e2496940290ace50dc3df7a938e03968f3e6a1302d9b68b69378e58654bd63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1022795408040121$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1022795408040121$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Kamiński, S.</creatorcontrib><creatorcontrib>Malewski, T.</creatorcontrib><creatorcontrib>Ahman, A.</creatorcontrib><creatorcontrib>Wójcik, E.</creatorcontrib><creatorcontrib>Ruść, A.</creatorcontrib><creatorcontrib>Oleński, K.</creatorcontrib><creatorcontrib>Jakubczak, A.</creatorcontrib><creatorcontrib>Sazanov, A. A.</creatorcontrib><title>Towards an integrated approach to study SNPs and expression of candidate genes associated with milk protein biosynthesis</title><title>Russian journal of genetics</title><addtitle>Russ J Genet</addtitle><description>MilkProtChip is oligonucleotide microarray allowing bovine genotyping based on single nucleotide polymorphisms (SNPs) in genes influencing milk protein biosynthesis. A total of 71 SNPs in 42 genes were selected as associated with milk protein biosynthesis. Genotyping of about 300 animals of Polish Black-and-White cattle showed that SNPs in acyl-CoA:1,2-diacylglycerol O-transferase (
DGAT1
), lactoferrin (
LTF
), casein kappa (
CSN3
) and growth hormone receptor (
GHR
) genes were associated with several milk performance traits. Analysis of correlations between SNPs and milk production traits showed that SNPs in single genes rarely affect the investigated traits. Only 4 of 42 investigated single SNPs had impact on milk production traits while 22 combinations of paired SNPs in these genes had impact. Positive effect SNP combinations in two genes can be a result of additive effect on these SNPs on the same traits or effect of genes interaction. The MilkBovExp chip representing 90 genes encoding transcription factors expressed in the bovine mammary gland and/or involved in mammary gland signaling pathways was designed for further investigation of impact of gene expression and/or its encoded products on milk traits performance.</description><subject>Animal Genetics</subject><subject>Animal Genetics and Genomics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Human Genetics</subject><subject>Microbial Genetics and Genomics</subject><issn>1022-7954</issn><issn>1608-3369</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNp9kE9PwzAMxSsEEmPwAbjlxqngJG3WHBHinzQB0sa5yhp3C2zJiDPBvj0Z44bEyZbf7z3ZLopzDpecy-pqwkGIka4raKACLvhBMeAKmlJKpQ9zn-Vypx8XJ0RvABxAyUHxNQ2fJlpixjPnE86jSWiZWa9jMN2CpcAobeyWTZ5edpBl-LWOSOSCZ6FnXR45mz1sjh4zQRQ695Px6dKCrdzyneWshM6zmQu09WmB5Oi0OOrNkvDstw6L17vb6c1DOX6-f7y5HpedFJDKugYUlVa6AqHBdFiD7aTtR0bLBkFq1fQSleEShNUz1cyUlqMG60bV1cwqOSwu9rl5iY8NUmpXjjpcLo3HsKFWg5C1qKXOJN-TXQxEEft2Hd3KxG3Lod09uf3z5OwRew9l1s8xtm9hE30-6B_TNwryf2o</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Kamiński, S.</creator><creator>Malewski, T.</creator><creator>Ahman, A.</creator><creator>Wójcik, E.</creator><creator>Ruść, A.</creator><creator>Oleński, K.</creator><creator>Jakubczak, A.</creator><creator>Sazanov, A. A.</creator><general>SP MAIK Nauka/Interperiodica</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20080401</creationdate><title>Towards an integrated approach to study SNPs and expression of candidate genes associated with milk protein biosynthesis</title><author>Kamiński, S. ; Malewski, T. ; Ahman, A. ; Wójcik, E. ; Ruść, A. ; Oleński, K. ; Jakubczak, A. ; Sazanov, A. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-550e2496940290ace50dc3df7a938e03968f3e6a1302d9b68b69378e58654bd63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Animal Genetics</topic><topic>Animal Genetics and Genomics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Human Genetics</topic><topic>Microbial Genetics and Genomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kamiński, S.</creatorcontrib><creatorcontrib>Malewski, T.</creatorcontrib><creatorcontrib>Ahman, A.</creatorcontrib><creatorcontrib>Wójcik, E.</creatorcontrib><creatorcontrib>Ruść, A.</creatorcontrib><creatorcontrib>Oleński, K.</creatorcontrib><creatorcontrib>Jakubczak, A.</creatorcontrib><creatorcontrib>Sazanov, A. A.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Russian journal of genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kamiński, S.</au><au>Malewski, T.</au><au>Ahman, A.</au><au>Wójcik, E.</au><au>Ruść, A.</au><au>Oleński, K.</au><au>Jakubczak, A.</au><au>Sazanov, A. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Towards an integrated approach to study SNPs and expression of candidate genes associated with milk protein biosynthesis</atitle><jtitle>Russian journal of genetics</jtitle><stitle>Russ J Genet</stitle><date>2008-04-01</date><risdate>2008</risdate><volume>44</volume><issue>4</issue><spage>459</spage><epage>465</epage><pages>459-465</pages><issn>1022-7954</issn><eissn>1608-3369</eissn><abstract>MilkProtChip is oligonucleotide microarray allowing bovine genotyping based on single nucleotide polymorphisms (SNPs) in genes influencing milk protein biosynthesis. A total of 71 SNPs in 42 genes were selected as associated with milk protein biosynthesis. Genotyping of about 300 animals of Polish Black-and-White cattle showed that SNPs in acyl-CoA:1,2-diacylglycerol O-transferase (
DGAT1
), lactoferrin (
LTF
), casein kappa (
CSN3
) and growth hormone receptor (
GHR
) genes were associated with several milk performance traits. Analysis of correlations between SNPs and milk production traits showed that SNPs in single genes rarely affect the investigated traits. Only 4 of 42 investigated single SNPs had impact on milk production traits while 22 combinations of paired SNPs in these genes had impact. Positive effect SNP combinations in two genes can be a result of additive effect on these SNPs on the same traits or effect of genes interaction. The MilkBovExp chip representing 90 genes encoding transcription factors expressed in the bovine mammary gland and/or involved in mammary gland signaling pathways was designed for further investigation of impact of gene expression and/or its encoded products on milk traits performance.</abstract><cop>Dordrecht</cop><pub>SP MAIK Nauka/Interperiodica</pub><doi>10.1134/S1022795408040121</doi><tpages>7</tpages></addata></record> |
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| source | SpringerNature Journals |
| subjects | Animal Genetics Animal Genetics and Genomics Biomedical and Life Sciences Biomedicine Human Genetics Microbial Genetics and Genomics |
| title | Towards an integrated approach to study SNPs and expression of candidate genes associated with milk protein biosynthesis |
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