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Huang Y, Li S, Tan Y, Xu C, Huang X, Yin Z. Identification and functional analysis of ovarian lncRNAs during different egg laying periods in Taihe Black-Bone Chickens. Front Physiol 2024; 15:1358682. [PMID: 38426211 PMCID: PMC10902129 DOI: 10.3389/fphys.2024.1358682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction: Long non-coding RNA (lncRNA) refers to a category of non-coding RNA molecules exceeding 200 nucleotides in length, which exerts a regulatory role in the context of ovarian development. There is a paucity of research examining the involvement of lncRNA in the regulation of ovary development in Taihe Black-Bone Chickens. In order to further investigate the egg laying regulation mechanisms of Taihe Black-Bone Chickens at different periods, transcriptome analysis was conducted on the ovarian tissues at different laying periods. Methods: This study randomly selected ovarian tissues from 12 chickens for RNA-seq. Four chickens were selected for each period, including the early laying period (102 days, Pre), the peak laying period (203 days, Peak), and the late laying period (394 days, Late). Based on our previous study of mRNA expression profiles in the same ovarian tissue, we identified three differentially expressed lncRNAs (DE lncRNAs) at different periods and searched for their cis- and trans-target genes to draw an lncRNA-mRNA network. Results and discussion: In three groups of ovarian tissues, we identified 136 DE lncRNAs, with 8 showing specific expression during the early laying period, 10 showing specific expression during the peak laying period, and 4 showing specific expression during the late laying period. The lncRNA-mRNA network revealed 16 pairs of lncRNA-target genes associated with 7 DE lncRNAs, and these 14 target genes were involved in the regulation of reproductive traits. Furthermore, these reproductive-related target genes were primarily associated with signaling pathways related to follicle and ovary development in Taihe Black-Bone Chickens, including cytokine-cytokine receptor interaction, TGF-beta signaling pathway, tyrosine metabolism, ECM-receptor interaction, focal adhesion, neuroactive ligand-receptor interaction, and cell adhesion molecules (CAMs). This study offers valuable insights for a comprehensive understanding of the influence of lncRNAs on poultry reproductive traits.
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Affiliation(s)
| | | | | | | | | | - Zhaozheng Yin
- College of Animal Science, Zhejiang University, Hangzhou, China
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Wang J, Liu Z, Cao D, Liu J, Li F, Han H, Han H, Lei Q, Liu W, Li D, Wang J, Zhou Y. Elucidation of the genetic determination of clutch traits in Chinese local chickens of the Laiwu Black breed. BMC Genomics 2023; 24:686. [PMID: 37968610 PMCID: PMC10652520 DOI: 10.1186/s12864-023-09798-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/08/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Egg laying rate (LR) is associated with a clutch, which is defined as consecutive days of oviposition. The clutch trait can be used as a selection indicator to improve egg production in poultry breeding. However, little is known about the genetic basis of clutch traits. In this study, our aim was to estimate genetic parameters and identify quantitative trait single nucleotide polymorphisms for clutch traits in 399 purebred Laiwu Black chickens (a native Chinese breed) using a genome-wide association study (GWAS). METHODS In this work, after estimating the genetic parameters of age at first egg, body weight at first egg, LR, longest clutch until 52 week of age, first week when the longest clutch starts, last week when the longest clutch ends, number of clutches, and longest number of days without egg-laying until 52 week of age, we identified single nucleotide polymorphisms (SNPs) and potential candidate genes associated with clutch traits in Laiwu Black chickens. The restricted maximum likelihood method was used to estimate genetic parameters of clutch pattern in 399 Laiwu Black hens, using the GCTA software. RESULTS The results showed that SNP-based heritability estimates of clutch traits ranged from 0.06 to 0.59. Genotyping data were obtained from whole genome re-sequencing data. After quality control, a total of 10,810,544 SNPs remained to be analyzed. The GWAS revealed that 421 significant SNPs responsible for clutch traits were scattered on chicken chromosomes 1-14, 17-19, 21-25, 28 and Z. Among the annotated genes, NELL2, SMYD9, SPTLC2, SMYD3 and PLCL1 were the most promising candidates for clutch traits in Laiwu Black chickens. CONCLUSION The findings of this research provide critical insight into the genetic basis of clutch traits. These results contribute to the identification of candidate genes and variants. Genes and SNPs potentially provide new avenues for further research and would help to establish a framework for new methods of genomic prediction, and increase the accuracy of estimated genetic merit for egg production and clutch traits.
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Affiliation(s)
- Jie Wang
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Zhansheng Liu
- Shandong Animal Husbandry General Station, Jinan, 250023, China
| | - Dingguo Cao
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Jie Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Fuwei Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Heguo Han
- Lijin County Center for Animal Disease Control, Lijin, 257400, China
| | - Haixia Han
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Qiuxia Lei
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Wei Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Dapeng Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Jianxia Wang
- Administrative Examination and Approval Service Bureau of Lijin County, Lijin, 257400, China
| | - Yan Zhou
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China.
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Li Q, Li J, Li C, Wu X, Si S, Yang P, Li W, Han R, Li G, Liu X, Kang X, Tian Y. Transcriptome identification and characterization of long non-coding RNAs in the ovary of hens at four stages. Anim Biotechnol 2023; 34:1342-1353. [PMID: 35209802 DOI: 10.1080/10495398.2021.2024217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Long non-coding RNAs (lncRNAs) play important roles in transcriptional and post-transcriptional regulation. LncRNAs, which are defined as non-coding RNAs more than 200 bp in length, are involved in key biological processes, such as cell proliferation and differentiation, epigenetic regulation, and gene transcriptional translation. Recent studies have shown that lncRNAs also play major regulatory roles in the reproduction of mammals. However, knowledge of the roles of lncRNAs in the chicken ovary lacking. In this study, we performed RNA-seq analyses of ovarian tissue from Hy-Line brown laying hens at four physiological stages [15, 20, 30, and 68 weeks of age (W)]. We identified 657 lncRNA transcripts that were differentially expressed during ovarian development, the number of down-regulated lncRNAs was higher than the number of up-regulated lncRNAs during development. We predicted the cis and trans target genes of the DE lncRNAs and constructed a lncRNA-mRNA interaction network, which indicated that the DE genes (DEGs) and the target genes of the DE lncRNAs are mainly involved in signaling pathways associated with ovarian development, including oocyte meiosis, calcium signaling pathways, ECM-receptor interactions, and ribosome and focal adhesion. Overall, we found that twelve lncRNAs were strongly involved in ovarian development: LNC_013443, LNC_001029, LNC_005713, LNC_016762, ENSGALT00000101857, LNC_003913, LNC_013692, LNC_012219, LNC_004140, ENSGALT00000096941, LNC_009356, and ENSGALT00000098716. In summary, our study utilized RNA-seq analysis of hen ovaries to explore key lncRNAs involved in ovarian development and function. Furthermore, the comprehensive analysis identified the target genes of these lncRNAs providing a better understanding of the mechanisms underlying ovarian development in hens and a theoretical basis for further research.
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Affiliation(s)
- Qi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Jing Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Chong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Xing Wu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Sujin Si
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Pengkun Yang
- College of Animal Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, China
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, China
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, China
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Identification of candidate genomic regions for egg yolk moisture content based on a genome-wide association study. BMC Genomics 2023; 24:110. [PMID: 36918797 PMCID: PMC10015838 DOI: 10.1186/s12864-023-09221-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/01/2023] [Indexed: 03/15/2023] Open
Abstract
BACKGROUND Eggs represent important sources of protein and are widely loved by consumers. Egg yolk taste is an important index for egg selection, and the moisture content of the egg yolk affects the taste. To understand the molecular mechanism underlying egg yolk moisture content, this study determined the phenotype and heritability of egg yolk water content and conducted a genome-wide association study (GWAS) using a mixed linear model. RESULTS We determined the phenotype and heritability of thermogelled egg yolk water content (TWC) and found that the average TWC was 47.73%. Moreover, significant variations occurred (41.06-57.12%), and the heritability was 0.11, which indicates medium-low heritability. Through the GWAS, 48 single nucleotide polymorphisms (SNPs) related to TWC (20 significantly, 28 suggestively) were obtained, and they were mainly located on chromosomes 10 and 13. We identified 36 candidate genes based on gene function and found that they were mainly involved in regulating fat, protein, and water content and embryonic development. FGF9, PIAS1, FEM1B, NOX5, GLCE, VDAC1, IGFBP7, and THOC5 were involved in lipid formation and regulation; AP3S2, GNPDA1, HSPA4, AP1B1, CABP7, EEF1D, SYTL3, PPP2CA, SKP1, and UBE2B were involved in protein folding and hydrolysis; and CSF2, SOWAHA, GDF9, FSTL4, RAPGEF6, PAQR5, and ZMAT5 were related to embryonic development and egg production. Moreover, MICU2, ITGA11, WDR76, BLM, ANPEP, TECRL, EWSR1, and P4HA2 were related to yolk quality, while ITGA11, WDR76, BLM, and ANPEP were potentially significantly involved in egg yolk water content and thus deserve further attention and research. In addition, this study identified a 19.31-19.92 Mb genome region on GGA10, and a linkage disequilibrium analysis identified strong correlations within this region. Thus, GGA10 may represent a candidate region for TWC traits. CONCLUSION The molecular genetic mechanism involved in TWC was revealed through heritability measurements and GWAS, which identified a series of SNPs, candidate genes, and candidate regions related to TWC. These results provide insights on the molecular mechanism of egg yolk moisture content and may aid in the development of new egg traits.
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Wang Y, Wang Y, Wang L, Wei B, Lv X, Huang Y, Zhang H, Chen W. Dietary supplementation with Clostridium butyricum and its ferment substance improves the egg quality and ovarian function in laying hens from 50 to 58 weeks of age. Anim Sci J 2023; 94:e13877. [PMID: 37818858 DOI: 10.1111/asj.13877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/19/2023] [Accepted: 08/01/2023] [Indexed: 10/13/2023]
Abstract
The current study was conducted to explore the effects of dietary Clostridium butyricum (C. butyricum) and fermented calcium (Ca) butyrate produced by C. butyricum on the performance and egg quality of post-peak laying. A total of 384 50-week-old hens were fed a basal diet, the basal diet with 300 mg/kg of fermented Ca butyrate or 1 × 109 CFU/kg C. butyricum for 8 weeks. Hens received a C. butyricum exhibited higher yolk properties, albumen height, and Haugh unit. A diet with fermented Ca butyrate or C. butyricum increased the egg mass and the pre-grade yellow follicle number. RNA-sequencing (RNA-seq) data showed that these observations were associated with cytokine-cytokine receptor interaction and intestinal immune status. Accordingly, when compared with the basal diet group, Ca butyrate and C. butyricum addition decreased serum pro-inflammatory cytokine levels and increased the concentration of immunoglobulin A, along with improved intestinal barrier. In addition, dietary C. butyricum inclusion induced a higher abundance of Ruminococcaceae and Lachnospiraceae at the family level. In summary, dietary fermented Ca butyrate or C. butyricum supplementation improved egg quality and ovarian function, which might be related to the enhanced intestinal barrier and immunity in post-peak laying hens.
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Affiliation(s)
- Yongshuai Wang
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
| | - Yilu Wang
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
| | - Leilei Wang
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
| | - Bin Wei
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
| | - Xiangyun Lv
- Charoen Pokphand Group Co., Ltd., Zhumadian, Henan, China
| | - Yanqun Huang
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
| | - Huaiyong Zhang
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
- Laboratory for Animal Nutrition and Animal Product Quality, Department of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium
| | - Wen Chen
- College of Animal Science and Technology, Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, China
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Liu J, Zhang D, Zhang Z, Chai W, Zhang J, Li M, Wang Y, Zhang S, Zhu M. Comparison of body size and reproductive hormones in high- and low-yielding Wulong geese. Poult Sci 2021; 101:101618. [PMID: 34986450 PMCID: PMC8743208 DOI: 10.1016/j.psj.2021.101618] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 10/08/2021] [Accepted: 11/22/2021] [Indexed: 11/26/2022] Open
Abstract
Wulong geese are renowned for their egg-laying and reproductive abilities. This work investigated the potential of using body size traits in the selection and breeding of high-yielding Wulong geese. A total of forty 479day-old female geese (high-yielding geese, n = 20; low-yielding geese, n = 20) were selected to evaluate the relationship between body weight, body size trait indicators, serum reproductive hormones, and biochemical indicators. The results showed that serum estradiol (E2), glucose (GLU), and triglyceride (TG) concentrations, together with pubic spacing and abdominal circumference were significantly higher in high-yielding geese (P < 0.01), whereas the opposite was true for neck circumference, neck length, and tibial circumference. In addition, the serum testosterone (T) concentration and body weight were higher in high-yielding geese (P < 0.05). Neck circumference and neck length were negatively correlated with E2 and TG (P < 0.01); while pubic spacing and abdominal circumference were positively correlated with E2, GLU, and TG (P < 0.01), the highest correlation coefficient was 0.777 between TG and pubic spacing; T was also strongly associated with neck circumference (P < 0.01). In conclusion, high-yielding Wulong geese can be selected through neck circumference, neck length, pubic spacing, and abdominal circumference.
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Affiliation(s)
- Jingjing Liu
- College of Agronomy of Liaocheng University, Liaocheng 252000, China
| | - Demin Zhang
- Shandong Animal Husbandry General Station, Jinan 250010, China
| | - Zhenwei Zhang
- College of Agronomy of Liaocheng University, Liaocheng 252000, China
| | - Wenqiong Chai
- College of Agronomy of Liaocheng University, Liaocheng 252000, China
| | - Jiqing Zhang
- College of Agronomy of Liaocheng University, Liaocheng 252000, China
| | - Mengmeng Li
- College of Agronomy of Liaocheng University, Liaocheng 252000, China
| | - Yun Wang
- Liaocheng Academy of Agricultural Sciences, Liaocheng 252000, China
| | - Shuer Zhang
- Shandong Animal Husbandry General Station, Jinan 250010, China
| | - Mingxia Zhu
- College of Agronomy of Liaocheng University, Liaocheng 252000, China.
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Bello SF, Xu H, Guo L, Li K, Zheng M, Xu Y, Zhang S, Bekele EJ, Bahareldin AA, Zhu W, Zhang D, Zhang X, Ji C, Nie Q. Hypothalamic and ovarian transcriptome profiling reveals potential candidate genes in low and high egg production of white Muscovy ducks (Cairina moschata). Poult Sci 2021; 100:101310. [PMID: 34298381 PMCID: PMC8322464 DOI: 10.1016/j.psj.2021.101310] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 05/24/2021] [Accepted: 06/01/2021] [Indexed: 01/16/2023] Open
Abstract
In China, the low egg production rate is a major challenge to Muscovy duck farmers. Hypothalamus and ovary play essential role in egg production of birds. However, there are little or no reports from these tissues to identify potential candidate genes responsible for egg production in White Muscovy ducks. A total of 1,537 laying ducks were raised; the egg production traits which include age at first egg (days), number of eggs at 300 d, and number of eggs at 59 wk were recorded. Moreover, 4 lowest (LP) and 4 highest producing (HP) were selected at 59 wk of age, respectively. To understand the mechanism of egg laying regulation, we sequenced the hypothalamus and ovary transcriptome profiles in LP and HP using RNA-Seq. The results showed that the number of eggs at 300 d and number of eggs at 59 wk in the HP were significantly more (P < 0.001) than the LP ducks. In total, 106.98G clean bases were generated from 16 libraries with an average of 6.68G clean bases for each library. Further analysis showed 569 and 2,259 differentially expressed genes (DEGs) were identified in the hypothalamus and ovary between LP and HP, respectively. The KEGG pathway enrichment analysis revealed 114 and 139 pathways in the hypothalamus and ovary, respectively which includes Calcium signaling pathway, ECM-receptor interaction, Focal adhesion, MAPK signaling pathway, Apoptosis and Apelin signaling pathways that are involved in egg production. Based on the GO terms and KEGG pathways results, 10 potential candidate genes (P2RX1, LPAR2, ADORA1, FN1, AKT3, ADCY5, ADCY8, MAP3K8, PXN, and PTTG1) were identified to be responsible for egg production. Further, protein-protein interaction was analyzed to show the relationship between these candidate genes. Therefore, this study provides useful information on transcriptome of hypothalamus and ovary of LP and HP Muscovy ducks.
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Affiliation(s)
- Semiu Folaniyi Bello
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Haiping Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Lijin Guo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Kan Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Ming Zheng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Yibin Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Siyu Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Endashaw Jebessa Bekele
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Ali Abdalla Bahareldin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Weijian Zhu
- Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China
| | - Dexiang Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China; Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Congliang Ji
- Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China; Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China.
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8
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Foury A, Collin A, Helbling JC, Leterrier C, Moisan MP, Guilloteau LA. Spontaneous intake of essential oils after a negative postnatal experience has long-term effects on blood transcriptome in chickens. Sci Rep 2020; 10:20702. [PMID: 33244117 PMCID: PMC7691513 DOI: 10.1038/s41598-020-77732-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 11/10/2020] [Indexed: 12/19/2022] Open
Abstract
Chicks subjected to early stressful factors could develop long-lasting effects on their performances, welfare and health. Free access to essential oils (EO) in poultry farming could mitigate these effects and potentially reduce use of antimicrobial drugs. This study on chicken analyzed long-lasting effects of post-hatch adverse conditions (Delayed group), and the impact of EO intake on blood physiological parameters and transcriptome. Half of the Control and Delayed groups had free access to EO, while the other half had only water for the first 13 days post-hatching. Blood analyses of metabolites, inflammation and oxidative stress biomarkers, and mRNA expression showed sex differences. Long-lasting effects of postnatal experience and EO intake persisted in blood transcriptome at D34. The early adverse conditions modified 68 genes in males and 83 genes in females. In Delayed males six transcription factors were over-represented (NFE2L2, MEF2A, FOXI1, Foxd3, Sox2 and TEAD1). In females only one factor was over-represented (PLAG1) and four under-represented (NFIL3, Foxd3, ESR2 and TAL1::TCF3). The genes showing modified expression are involved in oxidative stress, growth, bone metabolism and reproduction. Remarkably, spontaneous EO intake restored the expression levels of some genes affected by the postnatal adverse conditions suggesting a mitigating effect of EO intake.
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Affiliation(s)
- Aline Foury
- INRAE, Bordeaux INP, NutriNeuro, UMR 1286, University Bordeaux, 33076, Bordeaux, France
| | - Anne Collin
- INRAE, Université de Tours, BOA, 37380, Nouzilly, France
| | | | | | - Marie-Pierre Moisan
- INRAE, Bordeaux INP, NutriNeuro, UMR 1286, University Bordeaux, 33076, Bordeaux, France
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Liu G, Zeng M, Li X, Rong Y, Hu Z, Zhang H, Liu X. Expression and analysis of ESR1, IGF-1, FSH, VLDLR, LRP, LH, PRLR genes in Pekin duck and Black Muscovy duck. Gene 2020; 769:145183. [PMID: 33007371 DOI: 10.1016/j.gene.2020.145183] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 09/12/2020] [Accepted: 09/23/2020] [Indexed: 12/27/2022]
Abstract
In order to explore the influence of egg-laying regulatory genes on egg production in ducks at different laying stages, Pekin duck and Black Muscovy duck were used in this study, including early laying stage (20-30 weeks old), peak laying period (31-48 weeks old) and late laying stage (49-66 weeks old). Relative quantitative RT-PCR was used to detect the mRNA transcription level of selected egg-laying regulatory genes in the ovary tissues of ducks at different laying stages. Study shows: during the laying period of Pekin duck, ESR1, LRP1, IGF-1 and LHR were involved in the regulation of egg-laying, and the high expression of LRP1 in the late stage could inhibit egg production. Still, the expression products of the other three genes showed promoting effect. During the laying period of Black Muscovy duck, FSH, VLDLR, IGF-1, PRLR, LHR and LRP1 participated in the regulation of egg-laying, in which the expression products of the first five genes could promote egg production, while LRP1 showed inhibitory effect. Through our experiments, these data will provide strong theoretical support for the breeding of Pekin duck and Black Muscovy duck.
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Affiliation(s)
- Guangyu Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Mingfei Zeng
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Xingxing Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Yu Rong
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Zhigang Hu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Huilin Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Xiaolin Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China.
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10
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Du Y, Liu L, He Y, Dou T, Jia J, Ge C. Endocrine and genetic factors affecting egg laying performance in chickens: a review. Br Poult Sci 2020; 61:538-549. [PMID: 32306752 DOI: 10.1080/00071668.2020.1758299] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
1. Egg-laying performance reflects the overall reproductive performance of breeding hens. The genetic traits for egg-laying performance have low or medium heritability, and, depending on the period involved, usually ranges from 0.16 to 0.64. Egg-laying in chickens is regulated by a combination of environmental, endocrine and genetic factors. 2. The main endocrine factors that regulate egg-laying are gonadotropin-releasing hormone (GnRH), prolactin (PRL), follicle-stimulating hormone (FSH) and luteinising hormone (LH). 3. In the last three decades, many studies have explored this aspect at a molecular genetic level. Recent studies identified 31 reproductive hormone-based candidate genes that were significantly associated with egg-laying performance. With the development of genome-sequencing technology, 64 new candidate genes and 108 single nucleotide polymorphisms (SNPs) related to egg-laying performance have been found using genome-wide association studies (GWAS), providing novel insights into the molecular genetic mechanisms governing egg production. At the same time, microRNAs that regulate genes responsible for egg-laying in chickens were reviewed. 4. Research on endocrinological and genetic factors affecting egg-laying performance will greatly improve the reproductive performance of chickens and promote the protection, development, and utilisation of poultry. This review summarises studies on the endocrine and genetic factors of egg-laying performance in chickens from 1972 to 2019.
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Affiliation(s)
- Y Du
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - L Liu
- School of Forensic Medicine, Kunming Medical University , Kunming, Yunnan, The People's Republic of China
| | - Y He
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - T Dou
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - J Jia
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - C Ge
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
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11
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Zhuang ZX, Chen SE, Chen CF, Lin EC, Huang SY. Genomic regions and pathways associated with thermotolerance in layer-type strain Taiwan indigenous chickens. J Therm Biol 2019; 88:102486. [PMID: 32125976 DOI: 10.1016/j.jtherbio.2019.102486] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 12/17/2019] [Accepted: 12/19/2019] [Indexed: 02/07/2023]
Abstract
This study aimed to investigate genetic markers and candidate genes associated with thermotolerance in a layer-type strain Taiwan indigenous chickens exposed to acute heat stress. One hundred and ninety-two 30-week-old roosters were subjected to acute heat stress. Changes in body temperature (BT, ΔT) were calculated by measuring the difference between the initial BT and the highest BT during heat stress and the results were categorized into dead, susceptible, tolerant, and intermediate groups depending on their survival and ΔT values at the end of the experiment. A genome-wide association study on survival and ΔT values was conducted using the Cochran-Armitage trend test and Fisher's exact test. Association analyses identified 80 significant SNPs being annotated to 23 candidate genes, 440 SNPs to 71 candidate genes, 64 SNPs to 25 candidate genes, and 378 SNPs to 78 candidate genes in the dead versus survivor, tolerant versus susceptible, intermediate versus tolerant, and intermediate versus susceptible groups, respectively. The annotated genes were associated with apoptosis, cellular stress responses, DNA repair, and metabolic oxidative stress. In conclusion, the identified SNPs of candidate genes provide insights into the potential mechanisms underlying physiological responses to acute heat stress in chickens.
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Affiliation(s)
- Zi-Xuan Zhuang
- Department of Animal Science, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan.
| | - Shuen-Ei Chen
- Department of Animal Science, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan; The iEGG and Animal Biotechnology Center, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan; Innovation and Development Center of Sustainable Agriculture (IDCSA), National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan; Research Center for Sustainable Energy and Nanotechnology, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan.
| | - Chih-Feng Chen
- Department of Animal Science, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan; The iEGG and Animal Biotechnology Center, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan.
| | - En-Chung Lin
- Department of Animal Science and Technology, National Taiwan University, 50, Lane 155, Section 3, Keelung Road, Taipei, 10673, Taiwan.
| | - San-Yuan Huang
- Department of Animal Science, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan; The iEGG and Animal Biotechnology Center, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan; Research Center for Sustainable Energy and Nanotechnology, National Chung Hsing University, 145 Xingda Road, Taichung, 40227, Taiwan.
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12
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Hypothalamic and pituitary transcriptome profiling using RNA-sequencing in high-yielding and low-yielding laying hens. Sci Rep 2019; 9:10285. [PMID: 31311989 PMCID: PMC6635495 DOI: 10.1038/s41598-019-46807-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 07/05/2019] [Indexed: 12/21/2022] Open
Abstract
The reproductive physiology and laying performance of laying hens are regulated by the hypothalamus and pituitary. To understand the mechanism of egg laying regulation, we sequenced and analysed the hypothalamus and pituitary expression profiles in high- and low-yielding laying Chinese Dagu Chickens (CDC) using RNA-seq. More than 46 million clean reads and 24,873 tentative genes were obtained using the Gallus gallus genome as a reference. Transcriptome analysis in hypothalamus and pituitary revealed seven and 39 differentially expressed genes (DEGs) between high- and low-yielding CDC hens, respectively. A total of 24 and 22 DEGs were up-regulated and down-regulated, respectively, and 13 novel genes were identified. Functional annotation and pathway enrichment analysis showed that DEGs in the hypothalamus were mainly enriched in glycosaminoglycan biosynthesis. DEGs significantly enriched in the pituitary primarily affected the extracellular matrix, the protein extracellular matrix, and the extracellular space. Pathways involving phenylalanine metabolism, 2-oxocarboxylic acid metabolism, the glycosphingolipid biosynthesis-ganglion series, and local adhesion were significantly enriched in the pituitary. Eight DEGs, PRDX6, TRIB2, OVCH2, CFD, Peptidase M20, SLC7A10, and two other amino acid transporters, are involved in the metabolism and transport of amino acids. To our knowledge, this is the first study comparing the hypothalamus and pituitary transcriptomes of high- and low-yielding laying hens. Our findings suggest that putative differences in gene expression can provide a base for further research in this field. Moreover, we identified increased expression of genes involved in amino acid metabolism, glycosaminoglycan biosynthesis, and oestrogen negative feedback systems in low-yielding laying hens, highlighting their potential as biomarkers of egg production.
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13
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Zhou C, Zhang W, Wen Q, Bu P, Gao J, Wang G, Jin J, Song Y, Sun X, Zhang Y, Jiang X, Yu H, Peng C, Shen Y, Price M, Li J, Zhang X, Fan Z, Yue B. Comparative Genomics Reveals the Genetic Mechanisms of Musk Secretion and Adaptive Immunity in Chinese Forest Musk Deer. Genome Biol Evol 2019; 11:1019-1032. [PMID: 30903183 PMCID: PMC6450037 DOI: 10.1093/gbe/evz055] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/04/2019] [Indexed: 02/05/2023] Open
Abstract
The Chinese forest musk deer (Moschus berezovskii; FMD) is an artiodactyl mammal and is both economically valuable and highly endangered. To investigate the genetic mechanisms of musk secretion and adaptive immunity in FMD, we compared its genome to nine other artiodactyl genomes. Comparative genomics demonstrated that eight positively selected genes (PSGs) in FMD were annotated in three KEGG pathways that were related to metabolic and synthetic activity of musk, similar to previous transcriptome studies. Functional enrichment analysis indicated that many PSGs were involved in the regulation of immune system processes, implying important reorganization of the immune system in FMD. FMD-specific missense mutations were found in two PSGs (MHC class II antigen DRA and ADA) that were classified as deleterious by PolyPhen-2, possibly contributing to immune adaptation to infectious diseases. Functional assessment showed that the FMD-specific mutation enhanced the ADA activity, which was likely to strengthen the immune defense against pathogenic invasion. Single nucleotide polymorphism-based inference showed the recent demographic trajectory for FMD. Our data and findings provide valuable genomic resources not only for studying the genetic mechanisms of musk secretion and adaptive immunity, but also for facilitating more effective management of the captive breeding programs for this endangered species.
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Affiliation(s)
- Chuang Zhou
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Wenbo Zhang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Qinchao Wen
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Ping Bu
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Jie Gao
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Guannan Wang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Jiazheng Jin
- Sichuan Engineering Research Center for Medicinal Animals, Xichang, P.R. China
| | - Yinjie Song
- Center of Infectious Diseases, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, P.R. China
| | - Xiaohong Sun
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Yifan Zhang
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Xue Jiang
- Sichuan Engineering Research Center for Medicinal Animals, Xichang, P.R. China
| | - Haoran Yu
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Changjun Peng
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Yongmei Shen
- Sichuan Engineering Research Center for Medicinal Animals, Xichang, P.R. China
| | - Megan Price
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Jing Li
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Xiuyue Zhang
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Zhenxin Fan
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
| | - Bisong Yue
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, P.R. China
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14
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Zhang T, Chen L, Han K, Zhang X, Zhang G, Dai G, Wang J, Xie K. Transcriptome analysis of ovary in relatively greater and lesser egg producing Jinghai Yellow Chicken. Anim Reprod Sci 2019; 208:106114. [PMID: 31405454 DOI: 10.1016/j.anireprosci.2019.106114] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 06/19/2019] [Accepted: 06/27/2019] [Indexed: 12/11/2022]
Abstract
Egg production is determined by the function of ovary and is regulated by the hypothalamic-pituitary-ovary axis. The mechanism by which the ovary regulates egg production, however, is still poorly understood. The purpose of this study is to compare the transcriptome difference in ovary of relatively greater and lesser egg producing chickens, and to screen candidate genes related to egg production. A RNA sequencing was performed to analyze and compare the mRNA in ovarian tissues of relatively greater and lesser egg producing chickens. A total of 4 431 new genes expressed in the chicken ovary were mined. There were 305 differentially expressed genes (DEGs) identified between the relatively greater and lesser egg producing hens. Gene ontology analysis identified five candidate genes related to egg production, including ZP2, WNT4, AMH, IGF1, and CYP17A1 genes. Tissue expression profiles indicated these five candidate genes were highly expressed in chicken ovarian tissues, indicating a potential role in regulating chicken ovarian function and egg production. The KEGG analysis indicated the neuroactive ligand-receptor interaction pathway might have an important function in regulation of egg production. In addition, four known pathways related to reproduction were detected, including the calcium signaling, wnt signaling pathway, focal adhesion, and cytokine-cytokine receptor interaction pathways. Results of the present study indicate gene expression differences in the ovarian tissues of relatively greater and lesser egg producing chickens, and identified five important candidate genes related to egg production, which provided a theoretical basis for improving egg production of Jinghai Yellow Chickens.
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Affiliation(s)
- Tao Zhang
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Lan Chen
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Kunpeng Han
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Xiangqian Zhang
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Genxi Zhang
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Guojun Dai
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Jinyu Wang
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
| | - Kaizhou Xie
- College of Animal Science and Technology, Yangzhou University, Jiangsu, Yangzhou 225009, China; Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Jiangsu, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Eduction of China, Yangzhou University, China.
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15
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Juma AR, Hall NE, Wong J, Gasperoni JG, Watanabe Y, Sahota A, Damdimopoulou PE, Grommen SVH, De Groef B. PLAG1 expression and target genes in the hypothalamo-pituitary system in male mice. Mol Cell Endocrinol 2018; 478:77-83. [PMID: 30048678 DOI: 10.1016/j.mce.2018.07.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 06/28/2018] [Accepted: 07/23/2018] [Indexed: 12/26/2022]
Abstract
Knockout of pleomorphic adenoma gene 1 (PLAG1) in mice results in reduced fertility. To investigate whether PLAG1 is involved in reproductive control by the hypothalamo-pituitary system in males, we determined PLAG1 expression sites and compared gene expression between hypothalami and pituitary glands from Plag1 knockout and wildtype animals. Abundant expression of PLAG1 was detected throughout the pituitary gland, including gonadotropes and somatotropes. The hypothalamus also contained a large number of PLAG1-expressing cells. PLAG1 was expressed in some gonadotropin-releasing hormone neurons, but not in kisspeptin neurons. Gene ontology analysis indicated upregulation of cell proliferation in both structures, and of cholesterol biosynthesis in the hypothalamus, but functional confirmation is required. Expression levels of pituitary gonadotropins and gonadotropin-releasing hormone receptor, and of brain gonadotropin-releasing hormone and kisspeptin mRNA were unaffected in knockout mice. We conclude that PLAG1 deficiency does not have a major impact on the reproductive control by the hypothalamo-pituitary system.
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Affiliation(s)
- Almas R Juma
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Nathan E Hall
- Department of Biochemistry and Genetics and La Trobe Institute for Molecular Sciences, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Joanne Wong
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Jemma G Gasperoni
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Yugo Watanabe
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Akashdeep Sahota
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Pauliina E Damdimopoulou
- Department of Clinical Sciences, Intervention and Technology, Karolinska Institute, Karolinska University Hospital, 14183, Huddinge, Sweden
| | - Sylvia V H Grommen
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Bert De Groef
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, 3086, Australia.
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16
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Huang T, Cheng S, Feng Y, Sheng Z, Gong Y. A copy number variation generated by complicated organization of PCDHA gene cluster is associated with egg performance traits in Xinhua E-strain. Poult Sci 2018; 97:3435-3445. [PMID: 30007306 DOI: 10.3382/ps/pey236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 07/07/2018] [Indexed: 01/15/2023] Open
Abstract
In recent years, a mass of duplicated and deleted DNA sequences have been found in human and animal genomes following the prevalence of employing high-throughput sequencing and SNP array. However, few copy number variation (CNV) studies have been performed on egg performance traits of chicken. In this study, 17 loci reported in previous studies were selected for CNV detection in the Xinhua E-strain by using the CNVplex kit, and the detection results showed that locus14 exhibited CNV. Further association analysis indicated the copies of locus14 could be significantly associated with age at first egg (AFE; P < 0.0086) and egg number at 250 d (250EN; P < 0.036). DNA sequence amplification showed the loss of a 260-bp-long fragment in the upstream of locus14, which mainly occurred in normal or copy-gain individuals. The qPCR results showed that subjects with gain of copies could promote the total expression level of the PCDHA gene cluster in the pituitary gland of adult individuals. Additionally, PCR amplification with randomly combined primers revealed a larger number of chicken variable exons than that previously reported, indicating the complexity of the organization of the PCDHA gene cluster. Those variable exons are divergent in their distribution among the populations of Xinhua E-strain, Chahua, Tibetan, and Tulufan Game Chicken, and most individuals only possess part of variable exons. Overall, the copies of locus14 reflect the variable exon dosage effects on the total expression level of the PCDHA gene cluster, which may regulate the layer egg production by affecting the development of the neural system.
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Affiliation(s)
- Tao Huang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Shengqi Cheng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Yanping Feng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Zheya Sheng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Yanzhang Gong
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
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17
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Functional genomics study of acute heat stress response in the small yellow follicles of layer-type chickens. Sci Rep 2018; 8:1320. [PMID: 29358656 PMCID: PMC5778056 DOI: 10.1038/s41598-017-18335-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 12/11/2017] [Indexed: 01/16/2023] Open
Abstract
This study investigated global gene and protein expression in the small yellow follicle (SYF; 6-8 mm in diameter) tissues of chickens in response to acute heat stress. Twelve 30-week-old layer-type hens were divided into four groups: control hens were maintained at 25 °C while treatment hens were subjected to acute heat stress at 36 °C for 4 h without recovery, with 2-h recovery, and with 6-h recovery. SYFs were collected at each time point for mRNA and protein analyses. A total of 176 genes and 93 distinct proteins with differential expressions were identified, mainly associated with the molecular functions of catalytic activity and binding. The upregulated expression of heat shock proteins and peroxiredoxin family after acute heat stress is suggestive of responsive machineries to protect cells from apoptosis and oxidative insults. In conclusion, both the transcripts and proteins associated with apoptosis, stress response, and antioxidative defense were upregulated in the SYFs of layer-type hens to alleviate the detrimental effects by acute heat stress. However, the genomic regulations of specific cell type in response to acute heat stress of SYFs require further investigation.
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18
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Proteomic Analysis of Thermal Regulation of Small Yellow Follicles in Broiler-Type Taiwan Country Chickens. J Poult Sci 2018; 55:120-136. [PMID: 32055165 PMCID: PMC6756493 DOI: 10.2141/jpsa.0170069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/03/2017] [Indexed: 11/21/2022] Open
Abstract
Heat stress hampers egg production and lowers fertility in layers. This study investigated global protein abundance in the small yellow follicles (SYFs, 6–8 mm diameter) of a broiler-type strain of Taiwan country chickens (TCCs) under acute heat stress. Twelve 30-week-old TCC hens were allocated to a control group maintained at 25°C, and to three acute heat-stressed groups subjected to 38°C for 2 h without recovery, with 2-h recovery, or with 6-h recovery. Two-dimensional difference gel electrophoresis analysis identified 119 significantly differentially expressed proteins after acute heat exposure. Gene ontology analysis revealed that most of these proteins are involved in molecular binding (34%), catalytic activity (23%), and structural molecule activity (11%), and participate in metabolic processes (20%), cellular processes (20%), and cellular component organization or biogenesis (11%). Proteins associated with stress response and survival (HSP25, HSP47, HSP70, HSC70, HSPA9), cytoskeleton remodeling, mitochondrial metabolic process of ATP production, antioxidative defense (peroxiredoxin-6), cargo lipid export and delivery (vitellogenin, apolipoprotein B and A1), and toxin/metabolite clearance and delivery (albumin) were upregulated after acute heat stress in the SYFs of TCCs. No overt cell death and atresia were observed in SYFs after acute heat stress. Collectively, these responses may represent a protective mechanism to maintain follicle cell integrity and survival, thereby ensuring a sufficient pool of SYFs for selection into the ovulation hierarchy for successful egg production.
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19
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RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens. Sci Rep 2017; 7:18083. [PMID: 29273734 PMCID: PMC5741707 DOI: 10.1038/s41598-017-18389-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 12/11/2017] [Indexed: 01/07/2023] Open
Abstract
Eggs with a much higher proportion of thick albumen are preferred in the layer industry, as they are favoured by consumers. However, the genetic factors affecting the thick egg albumen trait have not been elucidated. Using RNA sequencing, we explored the magnum transcriptome in 9 Rhode Island white layers: four layers with phenotypes of extremely high ratios of thick to thin albumen (high thick albumen, HTA) and five with extremely low ratios (low thick albumen, LTA). A total of 220 genes were differentially expressed, among which 150 genes were up-regulated and 70 were down-regulated in the HTA group compared with the LTA group. Gene Ontology (GO) analysis revealed that the up-regulated genes in HTA were mainly involved in a wide range of regulatory functions. In addition, a large number of these genes were related to glycosphingolipid biosynthesis, focal adhesion, ECM-receptor interactions and cytokine-cytokine receptor interactions. Based on functional analysis, ST3GAL4, FUT4, ITGA2, SDC3, PRLR, CDH4 and GALNT9 were identified as promising candidate genes for thick albumen synthesis and metabolism during egg formation. These results provide new insights into the molecular mechanisms of egg albumen traits and may contribute to future breeding strategies that optimise the proportion of thick egg albumen.
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Júnior GAO, Perez BC, Cole JB, Santana MHA, Silveira J, Mazzoni G, Ventura RV, Júnior MLS, Kadarmideen HN, Garrick DJ, Ferraz JBS. Genomic study and Medical Subject Headings enrichment analysis of early pregnancy rate and antral follicle numbers in Nelore heifers. J Anim Sci 2017; 95:4796-4812. [PMID: 29293733 PMCID: PMC6292327 DOI: 10.2527/jas2017.1752] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 08/24/2017] [Indexed: 12/18/2022] Open
Abstract
Zebu animals () are known to take longer to reach puberty compared with taurine animals (), limiting the supply of animals for harvest or breeding and impacting profitability. Genomic information can be a helpful tool to better understand complex traits and improve genetic gains. In this study, we performed a genomewide association study (GWAS) to identify genetic variants associated with reproductive traits in Nelore beef cattle. Heifer pregnancy (HP) was recorded for 1,267 genotyped animals distributed in 12 contemporary groups (CG) with an average pregnancy rate of 0.35 (±0.01). Disregarding one of these CG, the number of antral follicles (NF) was also collected for 937 of these animals, with an average of 11.53 (±4.43). The animals were organized in CG: 12 and 11 for HP and NF, respectively. Genes in linkage disequilibrium (LD) with the associated variants can be considered in a functional enrichment analysis to identify biological mechanisms involved in fertility. Medical Subject Headings (MeSH) were detected using the MESHR package, allowing the extraction of broad meanings from the gene lists provided by the GWAS. The estimated heritability for HP was 0.28 ± 0.07 and for NF was 0.49 ± 0.09, with the genomic correlation being -0.21 ± 0.29. The average LD between adjacent markers was 0.23 ± 0.01, and GWAS identified genomic windows that accounted for >1% of total genetic variance on chromosomes 5, 14, and 18 for HP and on chromosomes 2, 8, 11, 14, 15, 16, and 22 for NF. The MeSH enrichment analyses revealed significant ( < 0.05) terms associated with HP-"Munc18 Proteins," "Fucose," and "Hemoglobins"-and with NF-"Cathepsin B," "Receptors, Neuropeptide," and "Palmitic Acid." This is the first study in Nelore cattle introducing the concept of MeSH analysis. The genomic analyses contributed to a better understanding of the genetic control of the reproductive traits HP and NF and provide new selection strategies to improve beef production.
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Affiliation(s)
| | - B. C. Perez
- Universidade de São Paulo (USP), Pirassununga, SP, Brazil
| | - J. B. Cole
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
| | | | - J. Silveira
- Universidade de São Paulo (USP), Pirassununga, SP, Brazil
| | - G. Mazzoni
- Department of Veterinary and Animal Sciences, University of Copenhagen, Denmark
- Section of Systems Genomics, Department of Bio and Health Informatics, Technical University of Denmark, Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - R. V. Ventura
- Beef Improvement Opportunities, Guelph, ON N1K1E5, Canada
- Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON N1G2W1, Canada
| | | | - H. N. Kadarmideen
- Section of Systems Genomics, Department of Bio and Health Informatics, Technical University of Denmark, Kemitorvet, 2800 Kgs. Lyngby, Denmark
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21
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Sex Change in Clownfish: Molecular Insights from Transcriptome Analysis. Sci Rep 2016; 6:35461. [PMID: 27748421 PMCID: PMC5066260 DOI: 10.1038/srep35461] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 09/30/2016] [Indexed: 12/12/2022] Open
Abstract
Sequential hermaphroditism is a unique reproductive strategy among teleosts that is displayed mainly in fish species living in the coral reef environment. The reproductive biology of hermaphrodites has long been intriguing; however, very little is known about the molecular pathways underlying their sex change. Here, we provide the first de novo transcriptome analyses of a hermaphrodite teleost´s undergoing sex change in its natural environment. Our study has examined relative gene expression across multiple groups-rather than just two contrasting conditions- and has allowed us to explore the differential expression patterns throughout the whole process. Our analysis has highlighted the rapid and complex genomic response of the brain associated with sex change, which is subsequently transmitted to the gonads, identifying a large number of candidate genes, some well-known and some novel, involved in the process. The present study provides strong evidence of the importance of the sex steroidogenic machinery during sex change in clownfish, with the aromatase gene playing a central role, both in the brain and the gonad. This work constitutes the first genome-wide study in a social sex-changing species and provides insights into the genetic mechanism governing social sex change and gonadal restructuring in protandrous hermaphrodites.
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Jing Y, Shan X, Mu F, Qin N, Zhu H, Liu D, Yuan S, Xu R. Associations of the Novel Polymorphisms of Periostin and Platelet-Derived Growth Factor Receptor-Like Genes with Egg Production Traits in Local Chinese Dagu Hens. Anim Biotechnol 2016; 27:208-16. [DOI: 10.1080/10495398.2016.1169191] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Yang Jing
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
| | - Xuesong Shan
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
| | - Fang Mu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
| | - Ning Qin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
| | - HongYan Zhu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
| | - Dehui Liu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
| | - Shuguo Yuan
- Jilin Grain Group Agriculture and Livestock Co., Ltd., Changchun, Jilin, China
| | - Rifu Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
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Cruz V, Pires A, Gonçalves F, Torres Filho R, Pereira I, Araújo C. Seleção para a produção de ovos em períodos parciais e acumulados em linhagem de frango de corte comercial. ARQ BRAS MED VET ZOO 2016. [DOI: 10.1590/1678-4162-7906] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Objetivou-se com este estudo estimar parâmetros genéticos para produções parciais e acumuladas de ovos em uma linha fêmea de frangos de corte comercial. Foram considerados 10 períodos mensais entre 25 e 64 semanas, três períodos parciais de 25 a 32, 33 a 48 e 49 a 64 semanas, e três períodos acumulados de 25 até 30, 40 e 50 semanas de idade. Os componentes de covariância e parâmetros genéticos foram obtidos pelo método da máxima verossimilhança restrita, sob o modelo animal considerando o efeito fixo de incubação e os efeitos aleatórios genético aditivo e residual. As estimativas de herdabilidade variaram de 0,12 a 0,41. Evidenciou-se que os períodos anteriores e posteriores ao maior nível de produção apresentam maior variabilidade genética. As correlações genéticas entre os períodos de produção de ovos estudados variaram de -0,12 a 0,98. De modo geral, o padrão de variação foi semelhante entre as estratégias avaliadas, e todas foram geneticamente associadas com a produção total. Os resultados deste estudo mostraram que a melhoria da produção total é viável por meio de seleção de registros parciais. No entanto, caso se considere a eficiência relativa de seleção, o segundo mês e os períodos a partir da quadragésima semana de produção seriam os mais indicados.
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Affiliation(s)
| | - A.V. Pires
- Universidade Federal dos Vales do Jequitinhonha e Mucuri, Brasil
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24
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Juma AR, Damdimopoulou PE, Grommen SVH, Van de Ven WJM, De Groef B. Emerging role of PLAG1 as a regulator of growth and reproduction. J Endocrinol 2016; 228:R45-56. [PMID: 26577933 DOI: 10.1530/joe-15-0449] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/17/2015] [Indexed: 12/15/2022]
Abstract
Pleomorphic adenoma gene 1 (PLAG1) belongs to the PLAG family of zinc finger transcription factors along with PLAG-like 1 and PLAG-like 2. The PLAG1 gene is best known as an oncogene associated with certain types of cancer, most notably pleomorphic adenomas of the salivary gland. While the mechanisms of PLAG1-induced tumorigenesis are reasonably well understood, the role of PLAG1 in normal physiology is less clear. It is known that PLAG1 is involved in cell proliferation by directly regulating a wide array of target genes, including a number of growth factors such as insulin-like growth factor 2. This is likely to be a central mode of action for PLAG1 both in embryonic development and in cancer. The phenotype of Plag1 knockout mice suggests an important role for PLAG1 also in postnatal growth and reproduction, as PLAG1 deficiency causes growth retardation and reduced fertility. A role for PLAG1 in growth and reproduction is further corroborated by genome-wide association studies in humans and domestic animals in which polymorphisms in the PLAG1 genomic region are associated with body growth and reproductive traits. Here we review the current evidence for PLAG1 as a regulator of growth and fertility and discuss possible endocrine mechanisms involved.
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Affiliation(s)
- Almas R Juma
- Department of PhysiologyAnatomy and Microbiology, School of Life Sciences, La Trobe University, Bundoora, Victoria 3086, AustraliaDepartment of Clinical SciencesIntervention and Technology, Karolinska Institutet and Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Human GeneticsKU Leuven, B-3000 Leuven, Belgium
| | - Pauliina E Damdimopoulou
- Department of PhysiologyAnatomy and Microbiology, School of Life Sciences, La Trobe University, Bundoora, Victoria 3086, AustraliaDepartment of Clinical SciencesIntervention and Technology, Karolinska Institutet and Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Human GeneticsKU Leuven, B-3000 Leuven, Belgium
| | - Sylvia V H Grommen
- Department of PhysiologyAnatomy and Microbiology, School of Life Sciences, La Trobe University, Bundoora, Victoria 3086, AustraliaDepartment of Clinical SciencesIntervention and Technology, Karolinska Institutet and Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Human GeneticsKU Leuven, B-3000 Leuven, Belgium
| | - Wim J M Van de Ven
- Department of PhysiologyAnatomy and Microbiology, School of Life Sciences, La Trobe University, Bundoora, Victoria 3086, AustraliaDepartment of Clinical SciencesIntervention and Technology, Karolinska Institutet and Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Human GeneticsKU Leuven, B-3000 Leuven, Belgium
| | - Bert De Groef
- Department of PhysiologyAnatomy and Microbiology, School of Life Sciences, La Trobe University, Bundoora, Victoria 3086, AustraliaDepartment of Clinical SciencesIntervention and Technology, Karolinska Institutet and Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Human GeneticsKU Leuven, B-3000 Leuven, Belgium
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Monitoring of genetic diversity in Taiwan conserved chickens assessed by pedigree and molecular data. Livest Sci 2016. [DOI: 10.1016/j.livsci.2015.12.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Cheng CY, Tu WL, Wang SH, Tang PC, Chen CF, Chen HH, Lee YP, Chen SE, Huang SY. Annotation of Differential Gene Expression in Small Yellow Follicles of a Broiler-Type Strain of Taiwan Country Chickens in Response to Acute Heat Stress. PLoS One 2015; 10:e0143418. [PMID: 26587838 PMCID: PMC4654548 DOI: 10.1371/journal.pone.0143418] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 11/04/2015] [Indexed: 12/19/2022] Open
Abstract
This study investigated global gene expression in the small yellow follicles (6-8 mm diameter) of broiler-type B strain Taiwan country chickens (TCCs) in response to acute heat stress. Twelve 30-wk-old TCC hens were divided into four groups: control hens maintained at 25°C and hens subjected to 38°C acute heat stress for 2 h without recovery (H2R0), with 2-h recovery (H2R2), and with 6-h recovery (H2R6). Small yellow follicles were collected for RNA isolation and microarray analysis at the end of each time point. Results showed that 69, 51, and 76 genes were upregulated and 58, 15, 56 genes were downregulated after heat treatment of H2R0, H2R2, and H2R6, respectively, using a cutoff value of two-fold or higher. Gene ontology analysis revealed that these differentially expressed genes are associated with the biological processes of cell communication, developmental process, protein metabolic process, immune system process, and response to stimuli. Upregulation of heat shock protein 25, interleukin 6, metallopeptidase 1, and metalloproteinase 13, and downregulation of type II alpha 1 collagen, discoidin domain receptor tyrosine kinase 2, and Kruppel-like factor 2 suggested that acute heat stress induces proteolytic disintegration of the structural matrix and inflamed damage and adaptive responses of gene expression in the follicle cells. These suggestions were validated through gene expression, using quantitative real-time polymerase chain reaction. Functional annotation clarified that interleukin 6-related pathways play a critical role in regulating acute heat stress responses in the small yellow follicles of TCC hens.
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Affiliation(s)
- Chuen-Yu Cheng
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Wei-Lin Tu
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Shih-Han Wang
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Pin-Chi Tang
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
- Agricultural Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Center for the Integrative and Evolutionary Galliformes Genomics, iEGG Center, National Chung Hsing University, Taichung, Taiwan
| | - Chih-Feng Chen
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
- Agricultural Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Center for the Integrative and Evolutionary Galliformes Genomics, iEGG Center, National Chung Hsing University, Taichung, Taiwan
| | - Hsin-Hsin Chen
- Department of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yen-Pai Lee
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Shuen-Ei Chen
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
- Agricultural Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Center for the Integrative and Evolutionary Galliformes Genomics, iEGG Center, National Chung Hsing University, Taichung, Taiwan
- * E-mail: (SEC); (SYH)
| | - San-Yuan Huang
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
- Agricultural Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Center for the Integrative and Evolutionary Galliformes Genomics, iEGG Center, National Chung Hsing University, Taichung, Taiwan
- Center of Nanoscience and Nanotechnology, National Chung Hsing University, Taichung, Taiwan
- * E-mail: (SEC); (SYH)
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27
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Pan YE, Liu ZC, Chang CJ, Huang YF, Lai CY, Walzem RL, Chen SE. Feed restriction ameliorates metabolic dysregulation and improves reproductive performance of meat-type country chickens. Anim Reprod Sci 2014; 151:229-36. [PMID: 25458320 DOI: 10.1016/j.anireprosci.2014.10.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Revised: 10/02/2014] [Accepted: 10/05/2014] [Indexed: 11/17/2022]
Abstract
Restricted feed intake improves egg production in Cornish×Plymouth Rock (broiler) hens. Red-feather (RF) and Black-feather (BF) chickens are 2 local strains of non-broiler meat-type chickens whose egg production has declined with continued selection for meat yield, and which are unstudied regarding restricted feeding and egg-laying improvement. Sixteen week old RF and BF pullets were either fed ad libitum (AL) or restricted to 85% AL intake (R). At 35wk and 50wk R-hens showed improved egg production and less abnormal ovarian morphology than AL-hens. Obesity, hepatic steatosis, lipotoxic change to plasma lipids, and systemic inflammation induced by AL feeding in RF and BF hens were similar to those observed previously in AL-broiler hens. Egg production was negatively correlated to body weight, fractional abdominal fat weight and plasma NEFA concentrations in AL hens (P<0.05). AL-hen hierarchical follicles accumulated ceramide and increased interleukin-1β production (P<0.05) in conjunction with increased granulosa cell apoptosis, follicle atresia, ovarian regression, and reduced plasma 17β-estradiol concentrations (P<0.05). The present outcomes from non-broiler but nevertheless meat-type country chicken strains indicate that selection for rapid growth and increased meat yield fundamentally changes energy metabolism in a way that renders hens highly susceptible to reproductive impairment from lipid dysregulation and pro-inflammatory signaling rather than impaired resource allocation per se.
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Affiliation(s)
- Yu-En Pan
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Zu-Chen Liu
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Chai-Ju Chang
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Feng Huang
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Chien-Yang Lai
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan
| | - Rosemary L Walzem
- Department of Poultry Science, Texas A&M University, College Station, TX, USA
| | - Shuen-Ei Chen
- Department of Animal Science, National Chung Hsing University, Taichung, Taiwan; Agricultural Biotechnology Center, National Chung Hsing University, Taichung, Taiwan; Center for the Integrative and Evolutionary Galliformes Genomics, iEGG center, National Chung Hsing University, Taiwan.
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28
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Differential expression profiling of hypothalamus genes in laying period and ceased period Huoyan geese. Mol Biol Rep 2014; 41:3401-11. [DOI: 10.1007/s11033-014-3202-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2013] [Accepted: 01/25/2014] [Indexed: 01/21/2023]
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29
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Wang C, Li S, Li C, Yu G, Feng Y, Peng X, Gong Y. Molecular cloning, expression and association study with reproductive traits of the duckLRP8gene. Br Poult Sci 2013; 54:567-74. [DOI: 10.1080/00071668.2013.819488] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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30
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Wang SH, Cheng CY, Tang PC, Chen CF, Chen HH, Lee YP, Huang SY. Differential gene expressions in testes of L2 strain Taiwan country chicken in response to acute heat stress. Theriogenology 2013; 79:374-82.e1-7. [DOI: 10.1016/j.theriogenology.2012.10.010] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2012] [Revised: 10/14/2012] [Accepted: 10/14/2012] [Indexed: 01/03/2023]
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31
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Genetic Characterization of Taiwan Commercial Native Chickens Ascertained by Microsatellite Markers. J Poult Sci 2013. [DOI: 10.2141/jpsa.0120041] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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32
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Wang YH, Zhang HY, Zhang CL, Chen H, Fang XT, Zhang YS, Hou SS. The Fear Gene Stathmin Alleles Generated Heterosis on Feed Efficiency Parameters in Peking Ducks. Anim Biotechnol 2012; 23:233-40. [DOI: 10.1080/10495398.2012.701599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Shen X, Zeng H, Xie L, He J, Li J, Xie X, Luo C, Xu H, Zhou M, Nie Q, Zhang X. The GTPase activating Rap/RanGAP domain-like 1 gene is associated with chicken reproductive traits. PLoS One 2012; 7:e33851. [PMID: 22496769 PMCID: PMC3322132 DOI: 10.1371/journal.pone.0033851] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2011] [Accepted: 02/19/2012] [Indexed: 11/28/2022] Open
Abstract
Background Abundant evidence indicates that chicken reproduction is strictly regulated by the hypothalamic-pituitary-gonad (HPG) axis, and the genes included in the HPG axis have been studied extensively. However, the question remains as to whether any other genes outside of the HPG system are involved in regulating chicken reproduction. The present study was aimed to identify, on a genome-wide level, novel genes associated with chicken reproductive traits. Methodology/Principal Finding Suppressive subtractive hybridization (SSH), genome-wide association study (GWAS), and gene-centric GWAS were used to identify novel genes underlying chicken reproduction. Single marker-trait association analysis with a large population and allelic frequency spectrum analysis were used to confirm the effects of candidate genes. Using two full-sib Ningdu Sanhuang (NDH) chickens, GARNL1 was identified as a candidate gene involved in chicken broodiness by SSH analysis. Its expression levels in the hypothalamus and pituitary were significantly higher in brooding chickens than in non-brooding chickens. GWAS analysis with a NDH two tail sample showed that 2802 SNPs were significantly associated with egg number at 300 d of age (EN300). Among the 2802 SNPs, 2 SNPs composed a block overlapping the GARNL1 gene. The gene-centric GWAS analysis with another two tail sample of NDH showed that GARNL1 was strongly associated with EN300 and age at first egg (AFE). Single marker-trait association analysis in 1301 female NDH chickens confirmed that variation in this gene was related to EN300 and AFE. The allelic frequency spectrum of the SNP rs15700989 among 5 different populations supported the above associations. Western blotting, RT-PCR, and qPCR were used to analyze alternative splicing of the GARNL1 gene. RT-PCR detected 5 transcripts and revealed that the transcript, which has a 141 bp insertion, was expressed in a tissue-specific manner. Conclusions/Significance Our findings demonstrate that the GARNL1 gene contributes to chicken reproductive traits.
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Affiliation(s)
- Xu Shen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
| | - Hua Zeng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Liang Xie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Institute of Animal Science and Veterinary, Hainan Academy of Agricultural Sciences, Haikou, Hainan, China
| | - Jun He
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
| | - Jian Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
| | - Xiujuan Xie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
| | - Chenglong Luo
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Haiping Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
| | - Min Zhou
- Biotechnology Institute, Jiang Xi Education College, Nanchang, Jiangxi, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China
- * E-mail:
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Liu W, Li D, Liu J, Chen S, Qu L, Zheng J, Xu G, Yang N. A genome-wide SNP scan reveals novel loci for egg production and quality traits in white leghorn and brown-egg dwarf layers. PLoS One 2011; 6:e28600. [PMID: 22174844 PMCID: PMC3234275 DOI: 10.1371/journal.pone.0028600] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2011] [Accepted: 11/11/2011] [Indexed: 01/05/2023] Open
Abstract
Availability of the complete genome sequence as well as high-density SNP genotyping platforms allows genome-wide association studies (GWAS) in chickens. A high-density SNP array containing 57,636 markers was employed herein to identify associated variants underlying egg production and quality traits within two lines of chickens, i.e., White Leghorn and brown-egg dwarf layers. For each individual, age at first egg (AFE), first egg weight (FEW), and number of eggs (EN) from 21 to 56 weeks of age were recorded, and egg quality traits including egg weight (EW), eggshell weight (ESW), yolk weight (YW), eggshell thickness (EST), eggshell strength (ESS), albumen height(AH) and Haugh unit(HU) were measured at 40 and 60 weeks of age. A total of 385 White Leghorn females and 361 brown-egg dwarf dams were selected to be genotyped. The genome-wide scan revealed 8 SNPs showing genome-wise significant (P<1.51E-06, Bonferroni correction) association with egg production and quality traits under the Fisher's combined probability method. Some significant SNPs are located in known genes including GRB14 and GALNT1 that can impact development and function of ovary, but more are located in genes with unclear functions in layers, and need to be studied further. Many chromosome-wise significant SNPs were also detected in this study and some of them are located in previously reported QTL regions. Most of loci detected in this study are novel and the follow-up replication studies may be needed to further confirm the functional significance for these newly identified SNPs.
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Affiliation(s)
- Wenbo Liu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Dongfeng Li
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jianfeng Liu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Sirui Chen
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lujiang Qu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jiangxia Zheng
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Guiyun Xu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
- * E-mail:
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Hawken RJ, Zhang YD, Fortes MRS, Collis E, Barris WC, Corbet NJ, Williams PJ, Fordyce G, Holroyd RG, Walkley JRW, Barendse W, Johnston DJ, Prayaga KC, Tier B, Reverter A, Lehnert SA. Genome-wide association studies of female reproduction in tropically adapted beef cattle. J Anim Sci 2011; 90:1398-410. [PMID: 22100599 DOI: 10.2527/jas.2011-4410] [Citation(s) in RCA: 109] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The genetics of reproduction is poorly understood because the heritabilities of traits currently recorded are low. To elucidate the genetics underlying reproduction in beef cattle, we performed a genome-wide association study using the bovine SNP50 chip in 2 tropically adapted beef cattle breeds, Brahman and Tropical Composite. Here we present the results for 3 female reproduction traits: 1) age at puberty, defined as age in days at first observed corpus luteum (CL) after frequent ovarian ultrasound scans (AGECL); 2) the postpartum anestrous interval, measured as the number of days from calving to first ovulation postpartum (first rebreeding interval, PPAI); and 3) the occurrence of the first postpartum ovulation before weaning in the first rebreeding period (PW), defined from PPAI. In addition, correlated traits such as BW, height, serum IGF1 concentration, condition score, and fatness were also examined. In the Brahman and Tropical Composite cattle, 169 [false positive rate (FPR) = 0.262] and 84 (FPR = 0.581) SNP, respectively, were significant (P < 0.001) for AGECL. In Brahman, 41% of these significant markers mapped to a single chromosomal region on BTA14. In Tropical Composites, 16% of these significant markers were located on BTA5. For PPAI, 66 (FPR = 0.67) and 113 (FPR = 0.432) SNP were significant (P < 0.001) in Brahman and Tropical Composite, respectively, whereas for PW, 68 (FPR = 0.64) and 113 (FPR = 0.432) SNP were significant (P < 0.01). In Tropical Composites, the largest concentration of PPAI markers were located on BTA5 [19% (PPAI) and 23% (PW)], and BTA16 [17% (PPAI) and 18% (PW)]. In Brahman cattle, the largest concentration of markers for postpartum anestrus was located on BTA3 (14% for PPAI and PW) and BTA14 (17% PPAI). Very few of the significant markers for female reproduction traits for the Brahman and Tropical Composite breeds were located in the same chromosomal regions. However, fatness and BW traits as well as serum IGF1 concentration were found to be associated with similar genome regions within and between breeds. Clusters of SNP associated with multiple traits were located on BTA14 in Brahman and BTA5 in Tropical Composites.
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Affiliation(s)
- R J Hawken
- Cooperative Research Centre for Beef Genetic Technologies, University of New England, Armidale, New South Wales 2351, Australia
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Xu HP, Zeng H, Zhang DX, Jia XL, Luo CL, Fang MX, Nie QH, Zhang XQ. Polymorphisms associated with egg number at 300 days of age in chickens. GENETICS AND MOLECULAR RESEARCH 2011; 10:2279-89. [PMID: 22002122 DOI: 10.4238/2011.october.3.5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
We looked for variations that could be associated with chicken egg number at 300 days of age (EN300) in seven genes of the hypothalamic-pituitary-gonadal axis, including gonadotrophin-releasing hormone-I (GnRH-I), GnRH receptor (GnRHR), neuropeptide Y (NPY), dopamine D2 receptor (DRD2), vasoactive intestinal polypeptide (VIP), VIP receptor-1 (VIPR-1), prolactin (PRL), and the QTL region between 87 and 105 cM of the Z chromosome. Ten mutations in the seven genes were chosen to do marker-trait association analyses in a population comprising 1310 chickens, which were obtained from a company located in Guangdong Province of China. The C1704887T of VIPR-1 was found to have a highly significant association with EN300. The T5841629C of DRD2 and the C1715301T of VIPR-1 were significantly associated with EN300. A highly significant association was also found between the C1704887T-C1715301T haplotypes of VIPR-1 and EN300. H1H3 had the highest EN300. Four PCR-RFLP variations in the candidate QTL region were selected to investigate their genetic effects on EN300. The haplotypes of T32742468C-G32742603A in this region showed a highly significant association with EN300. Bioinformatics analyses showed that both T32742468C and G32742603A were located in intron 1 of the SH3-domain GRB2-like 2 (SH3GL2) gene. We conclude that five SNPs, including C1704887T and C1715301T of VIPR-1, T5841629C of DRD2, and T32742468C and G32742603A of SH3GL2, would be useful as markers for breeding to increase chicken EN300.
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Affiliation(s)
- H P Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
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Kang L, Zhang Y, Zhang N, Zang L, Wang M, Cui X, Jiang Y. Identification of differentially expressed genes in ovaries of chicken attaining sexual maturity at different ages. Mol Biol Rep 2011; 39:3037-45. [PMID: 21691707 DOI: 10.1007/s11033-011-1066-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2010] [Accepted: 06/10/2011] [Indexed: 10/18/2022]
Abstract
In poultry as well as in other birds, sexual maturity is one of the important factors influencing female reproduction and egg production. In this study, cDNA-amplified fragment length polymorphism (cDNA-AFLP) differential display approach was used to identify genes related to sexual maturity. Using 54 EcoR I/Mse I selective primer combinations, totally 403 differentially expressed transcript-derived fragments (TDFs) were isolated, 27 of which belong to 25 unigenes. By real-time quantitative PCR (qPCR), the expression pattern of 13 genes was confirmed; among them, four genes including ZNF183 (P < 0.01), KIAA0700, CCT6A, and 23e 15 (P < 0.05) are significantly up-regulated and one gene (Loc418883) is significantly down-regulated (P < 0.01) in sexually mature ovaries compared to immature ones. The mRNA expression dynamics of ZNF183, CCT6A, 23e 15 and Loc418883 were further investigated in ovaries of 70-, 300- and 500-day-old commercial egg-laying hens: the expression level of CCT6A was the highest in 300-day-old hens (P < 0.05), while that of Loc418883 in 500-day-old hens was significantly higher than the other two stages (P < 0.01). The expression levels of ZNF183 and 23e 15 in ovary increase significantly from 70-day-old hens (P < 0.01) and 300-day-old (P < 0.05) to 500-day-old hens, respectively. The consistence of CCT6A expression and egg-laying performance suggests that CCT6A likely plays important role in sexual maturity in hens.
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Affiliation(s)
- Li Kang
- Lab of Animal Molecular Genetics, College of Animal Science, Shandong Agricultural University, Taian 271018, China
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Kommadath A, Woelders H, Beerda B, Mulder HA, de Wit AAC, Veerkamp RF, te Pas MFW, Smits MA. Gene expression patterns in four brain areas associate with quantitative measure of estrous behavior in dairy cows. BMC Genomics 2011; 12:200. [PMID: 21504592 PMCID: PMC3110153 DOI: 10.1186/1471-2164-12-200] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2010] [Accepted: 04/19/2011] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The decline noticed in several fertility traits of dairy cattle over the past few decades is of major concern. Understanding of the genomic factors underlying fertility, which could have potential applications to improve fertility, is very limited. Here, we aimed to identify and study those genes that associated with a key fertility trait namely estrous behavior, among genes expressed in four bovine brain areas (hippocampus, amygdala, dorsal hypothalamus and ventral hypothalamus), either at the start of estrous cycle, or at mid cycle, or regardless of the phase of cycle. RESULTS An average heat score was calculated for each of 28 primiparous cows in which estrous behavior was recorded for at least two consecutive estrous cycles starting from 30 days post-partum. Gene expression was then measured in brain tissue samples collected from these cows, 14 of which were sacrificed at the start of estrus and 14 around mid cycle. For each brain area, gene expression was modeled as a function of the orthogonally transformed average heat score values using a Bayesian hierarchical mixed model. Genes whose expression patterns showed significant linear or quadratic relationships with heat scores were identified. These included genes expected to be related to estrous behavior as they influence states like socio-sexual behavior, anxiety, stress and feeding motivation (OXT, AVP, POMC, MCHR1), but also genes whose association with estrous behavior is novel and warrants further investigation. CONCLUSIONS Several genes were identified whose expression levels in the bovine brain associated with the level of expression of estrous behavior. The genes OXT and AVP play major roles in regulating estrous behavior in dairy cows. Genes related to neurotransmission and neuronal plasticity are also involved in estrous regulation, with several genes and processes expressed in mid-cycle probably contributing to proper expression of estrous behavior in the next estrus. Studying these genes and the processes they control improves our understanding of the genomic regulation of estrous behavior expression.
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Affiliation(s)
- Arun Kommadath
- Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Lelystad, The Netherlands.
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Chen LR, Lee SC, Lin YP, Hsieh YL, Chen YL, Yang JR, Liou JF, Chen CF, Lee YP, Shiue YL. Prostaglandin-D synthetase induces transcription of the LH beta subunit in the primary culture of chicken anterior pituitary cells via the PPAR signaling pathway. Theriogenology 2010; 73:367-82. [DOI: 10.1016/j.theriogenology.2009.09.020] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2009] [Revised: 09/16/2009] [Accepted: 09/24/2009] [Indexed: 11/28/2022]
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