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Zhou H, Yang L, Ding J, Xu K, Liu J, Zhu W, Zhu J, He C, Han C, Qin C, Luo H, Chen K, Zheng Y, Honaker CF, Zhang Y, Siegel PB, Meng H. Dynamics of Small Non-coding RNA Profiles and the Intestinal Microbiome of High and Low Weight Chickens. Front Microbiol 2022; 13:916280. [PMID: 35847106 PMCID: PMC9279615 DOI: 10.3389/fmicb.2022.916280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 06/13/2022] [Indexed: 11/30/2022] Open
Abstract
The host and its symbiotic bacteria form a biological entity, holobiont, in which they share a dynamic connection characterized by symbiosis, co-metabolism, and coevolution. However, how these collaborative relationships were maintained over evolutionary time remains unclear. In this research, the small non-coding RNA (sncRNA) profiles of cecum and their bacteria contents were measured from lines of chickens that have undergone long-term selection for high (HWS) or low (LWS) 56-day body weight. The results from these lines that originated from a common founder population and maintained under the same husbandry showed an association between host intestinal sncRNA expression profile (miRNA, lncRNA fragment, mRNA fragment, snoRNA, and snRNA) and intestinal microbiota. Correlation analyses suggested that some central miRNAs and mRNA fragments had interactions with the abundance of intestinal microbial species and microbiota functions. miR-6622-3p, a significantly differentially expressed (DE) miRNA was correlated with a body weight gain related bacterium, Alistipes putredinis. Our results showed that host sncRNAs may be mediators of interaction between the host and its intestinal microbiome. This provides additional clue for holobiont concepts.
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Affiliation(s)
- Hao Zhou
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lingyu Yang
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Jinmei Ding
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Ke Xu
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Jiajia Liu
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Wenqi Zhu
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Jianshen Zhu
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Chuan He
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Chengxiao Han
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Qin
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Huaixi Luo
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Kangchun Chen
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Yuming Zheng
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Christa F. Honaker
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA, United States
| | - Yan Zhang
- Carilion Clinic, Roanoke, VA, United States
- *Correspondence: Yan Zhang,
| | - Paul B. Siegel
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA, United States
- Paul B. Siegel,
| | - He Meng
- Shanghai Collaborative Innovation Center of Agri-Seeds, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
- He Meng,
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Huang Y, Chen H, Gao X, Ren H, Gao S. Identification and functional analysis of miRNAs in skeletal muscle of juvenile and adult largemouth bass, Micropterus salmoides. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2022; 42:100985. [PMID: 35381488 DOI: 10.1016/j.cbd.2022.100985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/20/2022] [Accepted: 03/25/2022] [Indexed: 11/28/2022]
Abstract
MicroRNAs (miRNAs) are considered key regulators to post-transcriptionally regulate gene expression affecting multiple biological activities. However, the developmental process of fish skeletal muscles is regulated by complicated molecular mechanism that has not been completely well-described. In this study, two small RNAs libraries from skeletal muscle of juvenile as well as adult largemouth bass (LMB) were obtained and sequenced using deep sequencing to investigate the development-related miRNAs. We identified an overall number of 486 already recognized miRNAs in addition to 43 novel miRNAs. Comparison of two different skeletal muscle development stages led to the identification of 220 differently expressed miRNAs between juvenile and adult LMB containing 116 up-regulated as well as 104 down-regulated miRNAs. Of them, confirmation of some differently expressed miRNAs was performed via a stem-loop qRT-PCR, which exhibited differently expressed level in juvenile and adult LMB. Furthermore, GO and KEGG enrichment analyses of targets of differently-expressed miRNAs were carried out. Additionally, the analysis of miRNAs-targets interaction network showed that miR-181b-5p_R-1, miR-725 and miR-103 as the nodal miRNAs has over 20 target genes. Moreover, miR-103 could bind the 3'-UTR of actr8, which was validated via dual-luciferase reporter assay. It has been reasonably hypothesized that miR-103 may play a crucial role, which regulate skeletal muscle development of LMB. The present study provides the first identification of miRNA expression profiles at two different skeletal muscle development stages in LMB. Results may be valuable in interpreting the regulatory role miRNAs plays in the growth and developmental process of skeletal muscle and its possible use in LMB breeding.
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Affiliation(s)
- Yong Huang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China.
| | - Haigang Chen
- Guangdong Province Key Laboratory of Fish Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Xiaochan Gao
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Hongtao Ren
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Shiyang Gao
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
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Koganti P, Yao J, Cleveland BM. Molecular Mechanisms Regulating Muscle Plasticity in Fish. Animals (Basel) 2020; 11:ani11010061. [PMID: 33396941 PMCID: PMC7824542 DOI: 10.3390/ani11010061] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 12/24/2020] [Accepted: 12/25/2020] [Indexed: 12/12/2022] Open
Abstract
Growth rates in fish are largely dependent on genetic and environmental factors, of which the latter can be highly variable throughout development. For this reason, muscle growth in fish is particularly dynamic as muscle structure and function can be altered by environmental conditions, a concept referred to as muscle plasticity. Myogenic regulatory factors (MRFs) like Myogenin, MyoD, and Pax7 control the myogenic mechanisms regulating quiescent muscle cell maintenance, proliferation, and differentiation, critical processes central for muscle plasticity. This review focuses on recent advancements in molecular mechanisms involving microRNAs (miRNAs) and DNA methylation that regulate the expression and activity of MRFs in fish. Findings provide overwhelming support that these mechanisms are significant regulators of muscle plasticity, particularly in response to environmental factors like temperature and nutritional challenges. Genetic variation in DNA methylation and miRNA expression also correlate with variation in body weight and growth, suggesting that genetic markers related to these mechanisms may be useful for genomic selection strategies. Collectively, this knowledge improves the understanding of mechanisms regulating muscle plasticity and can contribute to the development of husbandry and breeding strategies that improve growth performance and the ability of the fish to respond to environmental challenges.
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Affiliation(s)
- Prasanthi Koganti
- Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506-6108, USA; (P.K.); (J.Y.)
| | - Jianbo Yao
- Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506-6108, USA; (P.K.); (J.Y.)
| | - Beth M. Cleveland
- USDA ARS National Center for Cool and Cold Water Aquaculture, Kearneysville, WV 25430, USA
- Correspondence: ; Tel.: +1-304-724-8340 (ext. 2133)
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Wang K, Shen XL, Jia JS, Yu XD, Du J, Lin SH, Du ZQ. High-throughput sequencing analysis of microRNAs in gills of red swamp crayfish, Procambarus clarkii infected with white spot syndrome virus. FISH & SHELLFISH IMMUNOLOGY 2018; 83:18-25. [PMID: 30195906 DOI: 10.1016/j.fsi.2018.09.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 08/27/2018] [Accepted: 09/05/2018] [Indexed: 06/08/2023]
Abstract
MicroRNAs (miRNAs) are important posttranscriptional regulators. They play an important role in the antiviral innate immunity of invertebrates. In the present study, high-throughput small RNAs Illumina sequencing systems were carried out to identify differentially expressed miRNAs (DEMs) in the gills of Procambarus clarkii, which was challenged with white spot syndrome virus (WSSV). Our results identified 11,617 known and 6 novel miRNAs in normal group (NG) and WSSV-challenged group (WG) small RNA libraries. Additionally, 27 DEMs were shown to participate in the antiviral innate immunity of P. clarkii and were significantly upregulated or downregulated. In addition, the results of the KEGG pathway prediction of the DEMs target genes showed that putative target genes of these 27 DEMs were related mainly to the RNA transport pathway, tight junction pathway, mRNA surveillance pathway, regulation actin cytoskeleton pathway, focal adhesion pathway, and MAPK signaling pathway. These results provide important information for future studies about the antiviral innate immunity of crustaceans.
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Affiliation(s)
- Kai Wang
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia autonomous region, 014010, China
| | - Xiu-Li Shen
- Library, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia autonomous region, 014010, China
| | - Jin-Sheng Jia
- Shenyang Entry-Exit Inspection and Quaranting Bureau, Shenyang, Liaoning, 110016, China
| | - Xiao-Dong Yu
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia autonomous region, 014010, China
| | - Jie Du
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia autonomous region, 014010, China
| | - Si-Han Lin
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia autonomous region, 014010, China
| | - Zhi-Qiang Du
- School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia autonomous region, 014010, China.
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