Literature DB >> 20926806

Differential gene expression in ovaries of pregnant pigs with high and low prolificacy levels and identification of candidate genes for litter size.

Amanda Fernandez-Rodriguez1, Maria Munoz, Almudena Fernandez, Ramona N Pena, Anna Tomas, Jose L Noguera, Cristina Ovilo, Ana I Fernandez.   

Abstract

Previous results from a genome scan in an F(2) Iberian × Meishan pig intercross showed several chromosome regions associated with litter size traits in this species. In order to identify candidate genes underlying these quantitative trait loci (QTL), we performed an ovary gene expression analysis during the sow's pregnancy. F(2) sows were ranked by their estimated breeding values for prolificacy: six sows with the highest estimated breeding value (EBV) (i.e., high prolificacy) and six sows with the lowest EBV (low prolificacy) were selected. Samples were hybridized using an Affymetrix GeneChip porcine genome array. Statistical analysis with a mixed model approach identified 221 differentially expressed probes, representing 189 genes. These genes were functionally annotated in order to identify genetic pathways overrepresented in this list. Among the functional groups most represented was, in first position, immune system response activation against external stimulus. The second group consisted of integrated genes that regulate maternal homeostasis by complement and coagulation cascades. A third group was involved in lipid and fatty acid enzymes of metabolic processes, which participate in the steroidogenesis pathway. In order to identify powerful candidate genes for prolificacy, the second approach of this study was to merge microarray data with the QTL positional information affecting litter size, previously detected in the same experimental cross. As a result, we have identified 27 differentially expressed genes colocalizing with QTL for litter size traits, which fulfill the biological, positional, and functional criteria.

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Year:  2010        PMID: 20926806     DOI: 10.1095/biolreprod.110.085589

Source DB:  PubMed          Journal:  Biol Reprod        ISSN: 0006-3363            Impact factor:   4.285


  12 in total

1.  Data mining in networks of differentially expressed genes during sow pregnancy.

Authors:  Ligang Wang; Longchao Zhang; Yong Li; Wen Li; Weizhen Luo; Duxue Cheng; Hua Yan; Xiaojun Ma; Xin Liu; Xin Song; Jing Liang; Kebin Zhao; Lixian Wang
Journal:  Int J Biol Sci       Date:  2012-04-16       Impact factor: 6.580

2.  Differential gene expression in ovaries of Qira black sheep and Hetian sheep using RNA-Seq technique.

Authors:  Han Ying Chen; Hong Shen; Bin Jia; Yong Sheng Zhang; Xu Hai Wang; Xian Cun Zeng
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

3.  Transcriptomic Analysis of Ovaries from Pigs with High And Low Litter Size.

Authors:  Xiaodong Zhang; Long Huang; Tao Wu; Yifang Feng; Yueyun Ding; Pengfei Ye; Zongjun Yin
Journal:  PLoS One       Date:  2015-10-01       Impact factor: 3.240

4.  Endometrial gene expression profiling in pregnant Meishan and Yorkshire pigs on day 12 of gestation.

Authors:  Ting Gu; Meng-jin Zhu; Martine Schroyen; Long Qu; Dan Nettleton; Dan Kuhar; Joan K Lunney; Jason W Ross; Shu-hong Zhao; Christopher K Tuggle
Journal:  BMC Genomics       Date:  2014-02-24       Impact factor: 3.969

5.  A genome-wide linkage analysis for reproductive traits in F2 Large White × Meishan cross gilts.

Authors:  S C Hernandez; H A Finlayson; C J Ashworth; C S Haley; A L Archibald
Journal:  Anim Genet       Date:  2014-01-23       Impact factor: 3.169

6.  Expression of genes involved in progesterone receptor paracrine signaling and their effect on litter size in pigs.

Authors:  Xiao Chen; Jinluan Fu; Aiguo Wang
Journal:  J Anim Sci Biotechnol       Date:  2016-05-25

7.  Identification of Ovarian Circular RNAs and Differential Expression Analysis between MeiShan and Large White Pigs.

Authors:  Guoming Liang; Junyu Yan; Jin Guo; Zhonglin Tang
Journal:  Animals (Basel)       Date:  2020-06-29       Impact factor: 2.752

8.  Porcine tissue-specific regulatory networks derived from meta-analysis of the transcriptome.

Authors:  Dafne Pérez-Montarelo; Nicholas J Hudson; Ana I Fernández; Yuliaxis Ramayo-Caldas; Brian P Dalrymple; Antonio Reverter
Journal:  PLoS One       Date:  2012-09-26       Impact factor: 3.240

9.  Identification of Differentially Expressed Genes Associated with Litter Size in Berkshire Pig Placenta.

Authors:  Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Deok Gyeong Kang; Kyung Hee Kang; Il-Suk Kim; Hwa Chun Park; Chong-Sam Na; Jeongim Ha; Chul Wook Kim
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

10.  Integration of lncRNA-miRNA-mRNA reveals novel insights into oviposition regulation in honey bees.

Authors:  Xiao Chen; Ce Ma; Chao Chen; Qian Lu; Wei Shi; Zhiguang Liu; Huihua Wang; Haikun Guo
Journal:  PeerJ       Date:  2017-10-05       Impact factor: 2.984

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