東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

Translational Genomics for Improving...

Wijesena, Hiruni R.

FindBook

Google Book

Amazon

博客來

Translational Genomics for Improving Sow Fertility.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Translational Genomics for Improving Sow Fertility./
作者:	Wijesena, Hiruni R.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	158 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-10, Section: B.
Contained By:	Dissertations Abstracts International81-10B.
標題:	Animal sciences. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27836991
ISBN:	9798641803876

Translational Genomics for Improving Sow Fertility.
Wijesena, Hiruni R.

Translational Genomics for Improving Sow Fertility. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 158 p.

Source: Dissertations Abstracts International, Volume: 81-10, Section: B.

Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2020.

This item must not be sold to any third party vendors.

Sow fertility traits, such as litter size and number of lifetime parities produced (reproductive longevity), are economically important. Selection for these traits is difficult because they are lowly heritable, polygenic, sex-limited, and express late in life. Age at puberty is an early indicator of reproductive longevity. Gilts that achieve puberty at an early age have a greater probability to produce more parities over their lifetime. However, measuring age at puberty is time consuming and tedious. Identifying pleiotropic polymorphisms that affect age at puberty and other fertility traits, including reproductive longevity, could help to improve the accuracy of genomic prediction for sow fertility traits. We developed a custom Affymetrix SNP array (SowPro90) including SNPs located in major QTL regions for age at puberty, other fertility and disease related traits, and potential loss of function SNPs. Genetic variants were identified using deep transcriptomic and genomic sequencing, gene network analysis, and genome-wide association (GWAS) carried out at University of Nebraska-Lincoln (UNL) and US Meat Animal Research Center (USMARC). This novel SNP array was used to fine map the genetic sources associated with fertility traits. Using a Bayesian haplotype approach (BayesIM), SowPro90 haplotypes were inferred and assigned to the entire UNL population and were used in an association analysis for age at puberty and other fertility traits. Five major QTL regions located on four chromosomes (SSC2, SSC7, SSC14, SSC18) were discovered for age at puberty. As expected, a negative correlation (r = −0.96 to −0.10; P<0.0001) was observed between genomic estimated breeding values for age at puberty and reproductive longevity at these QTL. Some of the SNPs discovered in the major QTL regions for age at puberty were located in candidate genes for fertility traits (e.g. P2RX3, OAS1, NR2F2, PTPN11). These SNPs showed significant or suggestive effects on age at puberty, reproductive longevity, and litter size traits in the UNL population and litter size traits in the commercial sows. It will be beneficial to further characterize these SNPs and candidate genes to understand their impact on protein sequence and function, gene expression, splicing process, and how these changes affect phenotypic variation of fertility traits.

ISBN: 9798641803876Subjects--Topical Terms:

3174829
Animal sciences.
Subjects--Index Terms:

Age at puberty

Translational Genomics for Improving Sow Fertility.
LDR:03465nmm a2200361 4500 001 2285436
005 20211208101823.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798641803876
035 $a (MiAaPQ)AAI27836991
035 $a AAI27836991
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wijesena, Hiruni R. $3 3564776
245 1 0 $a Translational Genomics for Improving Sow Fertility.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 158 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-10, Section: B.
500 $a Advisor: Ciobanu, Daniel.
502 $a Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Sow fertility traits, such as litter size and number of lifetime parities produced (reproductive longevity), are economically important. Selection for these traits is difficult because they are lowly heritable, polygenic, sex-limited, and express late in life. Age at puberty is an early indicator of reproductive longevity. Gilts that achieve puberty at an early age have a greater probability to produce more parities over their lifetime. However, measuring age at puberty is time consuming and tedious. Identifying pleiotropic polymorphisms that affect age at puberty and other fertility traits, including reproductive longevity, could help to improve the accuracy of genomic prediction for sow fertility traits. We developed a custom Affymetrix SNP array (SowPro90) including SNPs located in major QTL regions for age at puberty, other fertility and disease related traits, and potential loss of function SNPs. Genetic variants were identified using deep transcriptomic and genomic sequencing, gene network analysis, and genome-wide association (GWAS) carried out at University of Nebraska-Lincoln (UNL) and US Meat Animal Research Center (USMARC). This novel SNP array was used to fine map the genetic sources associated with fertility traits. Using a Bayesian haplotype approach (BayesIM), SowPro90 haplotypes were inferred and assigned to the entire UNL population and were used in an association analysis for age at puberty and other fertility traits. Five major QTL regions located on four chromosomes (SSC2, SSC7, SSC14, SSC18) were discovered for age at puberty. As expected, a negative correlation (r = −0.96 to −0.10; P<0.0001) was observed between genomic estimated breeding values for age at puberty and reproductive longevity at these QTL. Some of the SNPs discovered in the major QTL regions for age at puberty were located in candidate genes for fertility traits (e.g. P2RX3, OAS1, NR2F2, PTPN11). These SNPs showed significant or suggestive effects on age at puberty, reproductive longevity, and litter size traits in the UNL population and litter size traits in the commercial sows. It will be beneficial to further characterize these SNPs and candidate genes to understand their impact on protein sequence and function, gene expression, splicing process, and how these changes affect phenotypic variation of fertility traits.
590 $a School code: 0138.
650 4 $a Animal sciences. $3 3174829
653 $a Age at puberty
653 $a BayesIM
653 $a Custom SNP array
653 $a Gilts
653 $a QTL
653 $a Reproductive longevity
690 $a 0475
710 2 $a The University of Nebraska - Lincoln. $b Animal Science. $3 1676764
773 0 $t Dissertations Abstracts International $g 81-10B.
790 $a 0138
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27836991