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Li M, Lu Y, Gao Z, Yue D, Hong J, Wu J, Xi D, Deng W, Chong Y. Pan-Omics in Sheep: Unveiling Genetic Landscapes. Animals (Basel) 2024; 14:273. [PMID: 38254442 PMCID: PMC10812798 DOI: 10.3390/ani14020273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/04/2024] [Accepted: 01/14/2024] [Indexed: 01/24/2024] Open
Abstract
Multi-omics-integrated analysis, known as panomics, represents an advanced methodology that harnesses various high-throughput technologies encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Sheep, playing a pivotal role in agricultural sectors due to their substantial economic importance, have witnessed remarkable advancements in genetic breeding through the amalgamation of multiomics analyses, particularly with the evolution of high-throughput technologies. This integrative approach has established a robust theoretical foundation, enabling a deeper understanding of sheep genetics and fostering improvements in breeding strategies. The comprehensive insights obtained through this approach shed light on diverse facets of sheep development, including growth, reproduction, disease resistance, and the quality of livestock products. This review primarily focuses on the application of principal omics analysis technologies in sheep, emphasizing correlation studies between multiomics data and specific traits such as meat quality, wool characteristics, and reproductive features. Additionally, this paper anticipates forthcoming trends and potential developments in this field.
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Affiliation(s)
- Mengfei Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Ying Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Zhendong Gao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Dan Yue
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
- Faculty of Animal Science and Technology, Yuxi Agricultural Vocational and Technical College, Yuxi 653106, China
| | - Jieyun Hong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Jiao Wu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Dongmei Xi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Weidong Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Yuqing Chong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
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Ghafouri F, Sadeghi M, Bahrami A, Naserkheil M, Dehghanian Reyhan V, Javanmard A, Miraei-Ashtiani SR, Ghahremani S, Barkema HW, Abdollahi-Arpanahi R, Kastelic JP. Construction of a circRNA- lincRNA-lncRNA-miRNA-mRNA ceRNA regulatory network identifies genes and pathways linked to goat fertility. Front Genet 2023; 14:1195480. [PMID: 37547465 PMCID: PMC10400778 DOI: 10.3389/fgene.2023.1195480] [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: 03/28/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
Background: There is growing interest in the genetic improvement of fertility traits in female goats. With high-throughput genotyping, single-cell RNA sequencing (scRNA-seq) is a powerful tool for measuring gene expression profiles. The primary objective was to investigate comparative transcriptome profiling of granulosa cells (GCs) of high- and low-fertility goats, using scRNA-seq. Methods: Thirty samples from Ji'ning Gray goats (n = 15 for high fertility and n = 15 for low fertility) were retrieved from publicly available scRNA-seq data. Functional enrichment analysis and a literature mining approach were applied to explore modules and hub genes related to fertility. Then, interactions between types of RNAs identified were predicted, and the ceRNA regulatory network was constructed by integrating these interactions with other gene regulatory networks (GRNs). Results and discussion: Comparative transcriptomics-related analyses identified 150 differentially expressed genes (DEGs) between high- and low-fertility groups, based on the fold change (≥5 and ≤-5) and false discovery rate (FDR <0.05). Among these genes, 80 were upregulated and 70 were downregulated. In addition, 81 mRNAs, 58 circRNAs, 8 lincRNAs, 19 lncRNAs, and 55 miRNAs were identified by literature mining. Furthermore, we identified 18 hub genes (SMAD1, SMAD2, SMAD3, SMAD4, TIMP1, ERBB2, BMP15, TGFB1, MAPK3, CTNNB1, BMPR2, AMHR2, TGFBR2, BMP4, ESR1, BMPR1B, AR, and TGFB2) involved in goat fertility. Identified biological networks and modules were mainly associated with ovary signature pathways. In addition, KEGG enrichment analysis identified regulating pluripotency of stem cells, cytokine-cytokine receptor interactions, ovarian steroidogenesis, oocyte meiosis, progesterone-mediated oocyte maturation, parathyroid and growth hormone synthesis, cortisol synthesis and secretion, and signaling pathways for prolactin, TGF-beta, Hippo, MAPK, PI3K-Akt, and FoxO. Functional annotation of identified DEGs implicated important biological pathways. These findings provided insights into the genetic basis of fertility in female goats and are an impetus to elucidate molecular ceRNA regulatory networks and functions of DEGs underlying ovarian follicular development.
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Affiliation(s)
- Farzad Ghafouri
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Mostafa Sadeghi
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Abolfazl Bahrami
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
- Biomedical Center for Systems Biology Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Masoumeh Naserkheil
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
- Animal Breeding and Genetics Division, National Institute of Animal Science, Cheonan-si, Republic of Korea
| | - Vahid Dehghanian Reyhan
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Arash Javanmard
- Department of Animal Sciences, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - Seyed Reza Miraei-Ashtiani
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Soheila Ghahremani
- Department of Animal Science, Faculty of Agriculture, University of Tarbiat Modares, Tehran, Iran
| | - Herman W. Barkema
- Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Rostam Abdollahi-Arpanahi
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - John P. Kastelic
- Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
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Ibeagha-Awemu EM, Kiefer H, McKay S, Liu GE. Editorial: Epigenetic Variation Influences on Livestock Production and Disease Traits. Front Genet 2022; 13:942747. [PMID: 35783264 PMCID: PMC9241065 DOI: 10.3389/fgene.2022.942747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 11/22/2022] Open
Affiliation(s)
- Eveline M. Ibeagha-Awemu
- Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada
- *Correspondence: Eveline M. Ibeagha-Awemu,
| | - Hélène Kiefer
- Université Paris-Saclay, UVSQ, INRAE, BREED, Jouy-en-Josas, France
- Ecole Nationale Vétérinaire d’Alfort, BREED, Maisons-Alfort, France
| | - Stephanie McKay
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, United States
| | - George E. Liu
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, United States
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