Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys
The skeletal muscle fiber profile is closely related to livestock meat quality. However, the molecular mechanisms determining muscle fiber types in donkeys are not completely understood. In this study, we selected the psoas major muscle (PM; mainly composed of oxidative-type muscle fibers) and bicep...
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description | The skeletal muscle fiber profile is closely related to livestock meat quality. However, the molecular mechanisms determining muscle fiber types in donkeys are not completely understood. In this study, we selected the psoas major muscle (PM; mainly composed of oxidative-type muscle fibers) and biceps femoris muscle (BF; mainly composed of glycolytic-type muscle fibers) and systematically compared their mRNA and microRNA transcriptomes via RNA-seq. We identified a total of 2881 differentially expressed genes (DEGs) and 21 known differentially expressed miRNAs (DEmiRs). Furthermore, functional enrichment analysis showed that the DEGs were mainly involved in energy metabolism and actin cytoskeleton regulation. The glycolysis/gluconeogenesis pathway (including up-regulated genes such as PKM, LDHA, PGK1 and ALDOA) was more highly enriched in BF, whereas the oxidative phosphorylation pathway and cardiac muscle contraction (including down-regulated genes such as LDHB, ATP2A2, myosin-7 (MYH7), TNNC1, TPM3 and TNNI1) was more enriched in PM. Additionally, we identified several candidate miRNA–mRNA pairs that might regulate muscle fiber types using the integrated miRNA–mRNA analysis. Combined with the results of protein–protein interaction (PPI) analysis, some interesting DEGs (including ACTN3, TNNT3, TPM2, TNNC2, PKM, TNNC1 and TNNI1) might be potential candidate target genes involved in the miRNA-mediated regulation of the myofibril composition. This study is the first to indicate that DEmiRs, especially eca-miR-193a-5p and eca-miR-370, and potential candidate target genes that are mainly involved in actin binding (e.g., ACTN3, TNNT3 and TNNC1) and the glycolysis/gluconeogenesis pathways (e.g., PKM) might coregulate the myofibril composition in donkeys. This study may provide useful information for improving meat quality traits in Dezhou donkeys. |
doi_str_mv | 10.3390/genes13091610 |
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However, the molecular mechanisms determining muscle fiber types in donkeys are not completely understood. In this study, we selected the psoas major muscle (PM; mainly composed of oxidative-type muscle fibers) and biceps femoris muscle (BF; mainly composed of glycolytic-type muscle fibers) and systematically compared their mRNA and microRNA transcriptomes via RNA-seq. We identified a total of 2881 differentially expressed genes (DEGs) and 21 known differentially expressed miRNAs (DEmiRs). Furthermore, functional enrichment analysis showed that the DEGs were mainly involved in energy metabolism and actin cytoskeleton regulation. The glycolysis/gluconeogenesis pathway (including up-regulated genes such as PKM, LDHA, PGK1 and ALDOA) was more highly enriched in BF, whereas the oxidative phosphorylation pathway and cardiac muscle contraction (including down-regulated genes such as LDHB, ATP2A2, myosin-7 (MYH7), TNNC1, TPM3 and TNNI1) was more enriched in PM. Additionally, we identified several candidate miRNA–mRNA pairs that might regulate muscle fiber types using the integrated miRNA–mRNA analysis. Combined with the results of protein–protein interaction (PPI) analysis, some interesting DEGs (including ACTN3, TNNT3, TPM2, TNNC2, PKM, TNNC1 and TNNI1) might be potential candidate target genes involved in the miRNA-mediated regulation of the myofibril composition. This study is the first to indicate that DEmiRs, especially eca-miR-193a-5p and eca-miR-370, and potential candidate target genes that are mainly involved in actin binding (e.g., ACTN3, TNNT3 and TNNC1) and the glycolysis/gluconeogenesis pathways (e.g., PKM) might coregulate the myofibril composition in donkeys. This study may provide useful information for improving meat quality traits in Dezhou donkeys.</description><identifier>ISSN: 2073-4425</identifier><identifier>EISSN: 2073-4425</identifier><identifier>DOI: 10.3390/genes13091610</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Actin ; Adenosine triphosphatase ; Animals ; Cardiac muscle ; Cybernetics ; Cytoskeleton ; Donkeys ; Energy metabolism ; Gene expression ; Gene set enrichment analysis ; Genetic aspects ; Genomes ; Gluconeogenesis ; Glycolysis ; Livestock ; Meat quality ; Metabolism ; MicroRNAs ; miRNA ; Molecular modelling ; Muscle contraction ; Muscles ; Musculoskeletal system ; Myosin ; Oxidative phosphorylation ; Phosphorylation ; Physiological aspects ; Reagents ; RNA ; Skeletal muscle ; Software ; Transcriptomes</subject><ispartof>Genes, 2022-09, Vol.13 (9), p.1610</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-5805d7353b9d08613af10581eef6a61eb12a1e93a6a8cf1eeeda0481c48c9da93</citedby><cites>FETCH-LOGICAL-c459t-5805d7353b9d08613af10581eef6a61eb12a1e93a6a8cf1eeeda0481c48c9da93</cites><orcidid>0000-0003-2569-7089 ; 0000-0002-5186-1703</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498731/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498731/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Ma, Qingshan</creatorcontrib><creatorcontrib>Shi, Xiaoyuan</creatorcontrib><creatorcontrib>Yuan, Wenmin</creatorcontrib><creatorcontrib>Liu, Guiqin</creatorcontrib><creatorcontrib>Wang, Changfa</creatorcontrib><title>Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys</title><title>Genes</title><description>The skeletal muscle fiber profile is closely related to livestock meat quality. However, the molecular mechanisms determining muscle fiber types in donkeys are not completely understood. In this study, we selected the psoas major muscle (PM; mainly composed of oxidative-type muscle fibers) and biceps femoris muscle (BF; mainly composed of glycolytic-type muscle fibers) and systematically compared their mRNA and microRNA transcriptomes via RNA-seq. We identified a total of 2881 differentially expressed genes (DEGs) and 21 known differentially expressed miRNAs (DEmiRs). Furthermore, functional enrichment analysis showed that the DEGs were mainly involved in energy metabolism and actin cytoskeleton regulation. The glycolysis/gluconeogenesis pathway (including up-regulated genes such as PKM, LDHA, PGK1 and ALDOA) was more highly enriched in BF, whereas the oxidative phosphorylation pathway and cardiac muscle contraction (including down-regulated genes such as LDHB, ATP2A2, myosin-7 (MYH7), TNNC1, TPM3 and TNNI1) was more enriched in PM. Additionally, we identified several candidate miRNA–mRNA pairs that might regulate muscle fiber types using the integrated miRNA–mRNA analysis. Combined with the results of protein–protein interaction (PPI) analysis, some interesting DEGs (including ACTN3, TNNT3, TPM2, TNNC2, PKM, TNNC1 and TNNI1) might be potential candidate target genes involved in the miRNA-mediated regulation of the myofibril composition. This study is the first to indicate that DEmiRs, especially eca-miR-193a-5p and eca-miR-370, and potential candidate target genes that are mainly involved in actin binding (e.g., ACTN3, TNNT3 and TNNC1) and the glycolysis/gluconeogenesis pathways (e.g., PKM) might coregulate the myofibril composition in donkeys. This study may provide useful information for improving meat quality traits in Dezhou donkeys.</description><subject>Actin</subject><subject>Adenosine triphosphatase</subject><subject>Animals</subject><subject>Cardiac muscle</subject><subject>Cybernetics</subject><subject>Cytoskeleton</subject><subject>Donkeys</subject><subject>Energy metabolism</subject><subject>Gene expression</subject><subject>Gene set enrichment analysis</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Gluconeogenesis</subject><subject>Glycolysis</subject><subject>Livestock</subject><subject>Meat quality</subject><subject>Metabolism</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>Molecular modelling</subject><subject>Muscle contraction</subject><subject>Muscles</subject><subject>Musculoskeletal system</subject><subject>Myosin</subject><subject>Oxidative phosphorylation</subject><subject>Phosphorylation</subject><subject>Physiological aspects</subject><subject>Reagents</subject><subject>RNA</subject><subject>Skeletal muscle</subject><subject>Software</subject><subject>Transcriptomes</subject><issn>2073-4425</issn><issn>2073-4425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkk1vFDEMhkcIJKrSI_dIXLhMSSZfkwvSaksBqagHticOkTfj2U2ZSZZkptXy60lpgS6qc7BjP36jWK6q14yecm7ouw0GzIxTwxSjz6qjhmpeC9HI54_il9VJzte0mKANpfKo-raM4w4STP4GySpByC753RRHJIsAwz77TGJPvg7xtl7d-sltCYSOnEOe_ty_zNkNmIkP5Ax_buNMzmL4jvv8qnrRw5Dx5MEfV1fnH1bLT_XF5cfPy8VF7YQ0Uy1bKjvNJV-bjraKcegZlS1D7BUohmvWAEPDQUHr-pLGDqhomROtMx0Yfly9v9fdzesRO4dhSjDYXfIjpL2N4O1hJfit3cQba4RpNWdF4O2DQIo_ZsyTHX12OAwQMM7ZNppp1RqldUHf_IdexzmVSf2mlBSCyeYftYEBrQ99LO-6O1G70ELqhjOqCnX6BFVOh6N3MWDvS_6gob5vcCnmnLD_-0dG7d0W2IMt4L8AIdWlXw</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Li, Yan</creator><creator>Ma, Qingshan</creator><creator>Shi, Xiaoyuan</creator><creator>Yuan, Wenmin</creator><creator>Liu, Guiqin</creator><creator>Wang, Changfa</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2569-7089</orcidid><orcidid>https://orcid.org/0000-0002-5186-1703</orcidid></search><sort><creationdate>20220901</creationdate><title>Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys</title><author>Li, Yan ; Ma, Qingshan ; Shi, Xiaoyuan ; Yuan, Wenmin ; Liu, Guiqin ; Wang, Changfa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-5805d7353b9d08613af10581eef6a61eb12a1e93a6a8cf1eeeda0481c48c9da93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Actin</topic><topic>Adenosine triphosphatase</topic><topic>Animals</topic><topic>Cardiac muscle</topic><topic>Cybernetics</topic><topic>Cytoskeleton</topic><topic>Donkeys</topic><topic>Energy metabolism</topic><topic>Gene expression</topic><topic>Gene set enrichment analysis</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Gluconeogenesis</topic><topic>Glycolysis</topic><topic>Livestock</topic><topic>Meat quality</topic><topic>Metabolism</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>Molecular modelling</topic><topic>Muscle contraction</topic><topic>Muscles</topic><topic>Musculoskeletal system</topic><topic>Myosin</topic><topic>Oxidative phosphorylation</topic><topic>Phosphorylation</topic><topic>Physiological aspects</topic><topic>Reagents</topic><topic>RNA</topic><topic>Skeletal muscle</topic><topic>Software</topic><topic>Transcriptomes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Ma, Qingshan</creatorcontrib><creatorcontrib>Shi, Xiaoyuan</creatorcontrib><creatorcontrib>Yuan, Wenmin</creatorcontrib><creatorcontrib>Liu, Guiqin</creatorcontrib><creatorcontrib>Wang, Changfa</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yan</au><au>Ma, Qingshan</au><au>Shi, Xiaoyuan</au><au>Yuan, Wenmin</au><au>Liu, Guiqin</au><au>Wang, Changfa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys</atitle><jtitle>Genes</jtitle><date>2022-09-01</date><risdate>2022</risdate><volume>13</volume><issue>9</issue><spage>1610</spage><pages>1610-</pages><issn>2073-4425</issn><eissn>2073-4425</eissn><abstract>The skeletal muscle fiber profile is closely related to livestock meat quality. However, the molecular mechanisms determining muscle fiber types in donkeys are not completely understood. In this study, we selected the psoas major muscle (PM; mainly composed of oxidative-type muscle fibers) and biceps femoris muscle (BF; mainly composed of glycolytic-type muscle fibers) and systematically compared their mRNA and microRNA transcriptomes via RNA-seq. We identified a total of 2881 differentially expressed genes (DEGs) and 21 known differentially expressed miRNAs (DEmiRs). Furthermore, functional enrichment analysis showed that the DEGs were mainly involved in energy metabolism and actin cytoskeleton regulation. The glycolysis/gluconeogenesis pathway (including up-regulated genes such as PKM, LDHA, PGK1 and ALDOA) was more highly enriched in BF, whereas the oxidative phosphorylation pathway and cardiac muscle contraction (including down-regulated genes such as LDHB, ATP2A2, myosin-7 (MYH7), TNNC1, TPM3 and TNNI1) was more enriched in PM. Additionally, we identified several candidate miRNA–mRNA pairs that might regulate muscle fiber types using the integrated miRNA–mRNA analysis. Combined with the results of protein–protein interaction (PPI) analysis, some interesting DEGs (including ACTN3, TNNT3, TPM2, TNNC2, PKM, TNNC1 and TNNI1) might be potential candidate target genes involved in the miRNA-mediated regulation of the myofibril composition. This study is the first to indicate that DEmiRs, especially eca-miR-193a-5p and eca-miR-370, and potential candidate target genes that are mainly involved in actin binding (e.g., ACTN3, TNNT3 and TNNC1) and the glycolysis/gluconeogenesis pathways (e.g., PKM) might coregulate the myofibril composition in donkeys. This study may provide useful information for improving meat quality traits in Dezhou donkeys.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/genes13091610</doi><orcidid>https://orcid.org/0000-0003-2569-7089</orcidid><orcidid>https://orcid.org/0000-0002-5186-1703</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Actin Adenosine triphosphatase Animals Cardiac muscle Cybernetics Cytoskeleton Donkeys Energy metabolism Gene expression Gene set enrichment analysis Genetic aspects Genomes Gluconeogenesis Glycolysis Livestock Meat quality Metabolism MicroRNAs miRNA Molecular modelling Muscle contraction Muscles Musculoskeletal system Myosin Oxidative phosphorylation Phosphorylation Physiological aspects Reagents RNA Skeletal muscle Software Transcriptomes |
title | Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys |
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