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Coping with extremes: the rumen transcriptome and microbiome co-regulate plateau adaptability of Xizang goat
The interactions between the rumen microbiota and the host are crucial for the digestive and absorptive processes of ruminants, and they are heavily influenced by the climatic conditions of their habitat. Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants...
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Published in: | BMC genomics 2024-03, Vol.25 (1), p.258-258, Article 258 |
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description | The interactions between the rumen microbiota and the host are crucial for the digestive and absorptive processes of ruminants, and they are heavily influenced by the climatic conditions of their habitat. Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants regulate the host transcriptome and the composition of their rumen microbiota. Using the model species of goats, we examined the variations in the rumen microbiota, transcriptome regulation, and climate of the environment between high altitude (Lhasa, Xizang; 3650 m) and low altitude (Chengdu, Sichuan, China; 500 m) goats. The results of 16 S rRNA sequencing revealed variations in the abundance, diversity, and composition of rumen microbiota. Papillibacter, Quinella, and Saccharofermentans were chosen as potential microbes for the adaptation of Xizang goats to the harsh climate of the plateau by the Spearman correlation study of climate and microbiota. Based on rumen transcriptome sequencing analysis, 244 genes were found to be differentially expressed between Xizang goats and low-altitude goats, with 127 genes showing up-regulation and 117 genes showing down-regulation. SLC26A9, GPX3, ARRDC4, and COX1 were identified as potential candidates for plateau adaptation in Xizang goats. Moreover, the metabolism of fatty acids, arachidonic acids, pathway involving cytokines and their receptors could be essential for adaptation to plateau hypoxia and cold endurance. The expression of GPX3, a gene linked to plateau acclimatization in Xizang goats, was linked to the abundance of Anaerovibrio, and the expression of SLC26A9 was linked to the quantity of Selenomonas, according to ruminal microbiota and host Spearman correlation analysis. Our findings imply that in order to adapt harsh plateau conditions, Xizang goats have evolved to maximize digestion and absorption as well as to have a rumen microbiota suitable for the composition of their diet. |
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Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants regulate the host transcriptome and the composition of their rumen microbiota. Using the model species of goats, we examined the variations in the rumen microbiota, transcriptome regulation, and climate of the environment between high altitude (Lhasa, Xizang; 3650 m) and low altitude (Chengdu, Sichuan, China; 500 m) goats. The results of 16 S rRNA sequencing revealed variations in the abundance, diversity, and composition of rumen microbiota. Papillibacter, Quinella, and Saccharofermentans were chosen as potential microbes for the adaptation of Xizang goats to the harsh climate of the plateau by the Spearman correlation study of climate and microbiota. Based on rumen transcriptome sequencing analysis, 244 genes were found to be differentially expressed between Xizang goats and low-altitude goats, with 127 genes showing up-regulation and 117 genes showing down-regulation. SLC26A9, GPX3, ARRDC4, and COX1 were identified as potential candidates for plateau adaptation in Xizang goats. Moreover, the metabolism of fatty acids, arachidonic acids, pathway involving cytokines and their receptors could be essential for adaptation to plateau hypoxia and cold endurance. The expression of GPX3, a gene linked to plateau acclimatization in Xizang goats, was linked to the abundance of Anaerovibrio, and the expression of SLC26A9 was linked to the quantity of Selenomonas, according to ruminal microbiota and host Spearman correlation analysis. Our findings imply that in order to adapt harsh plateau conditions, Xizang goats have evolved to maximize digestion and absorption as well as to have a rumen microbiota suitable for the composition of their diet.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/s12864-024-10175-8</identifier><identifier>PMID: 38454325</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Absorptivity ; Abundance ; Acclimatization ; Adaptability ; Adaptation ; Adaptation, Psychological ; Altitude ; Analysis ; Animals ; Bacteria ; Climate ; Climate change ; Climate studies ; Climatic conditions ; Composition ; Correlation analysis ; Down-regulation ; Evolution & development ; Fermentation ; Gene expression ; Gene regulation ; Gene sequencing ; Genes ; Genetic aspects ; Genomes ; Goats ; Goats - metabolism ; High altitude ; High-altitude environments ; Hypoxia ; Low altitude ; Metabolism ; Metabolites ; Microbiomes ; Microbiota ; Microbiota - genetics ; Microorganisms ; Physiology ; Plateau adaptability ; rRNA ; Rumen ; Rumen - metabolism ; Rumen microbiota ; Sequence analysis ; Thermal cycling ; Transcription factors ; Transcriptome ; Transcriptomes ; Ultraviolet radiation ; Xizang goat</subject><ispartof>BMC genomics, 2024-03, Vol.25 (1), p.258-258, Article 258</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-5a3b1beeca4e19763babadf592b4070b43c5d9e411d8de1b80f4575ecc3ea8843</citedby><cites>FETCH-LOGICAL-c542t-5a3b1beeca4e19763babadf592b4070b43c5d9e411d8de1b80f4575ecc3ea8843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2956854616?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38454325$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pan, Cheng</creatorcontrib><creatorcontrib>Li, Haiyan</creatorcontrib><creatorcontrib>Mustafa, Shehr Bano</creatorcontrib><creatorcontrib>Renqing, Cuomu</creatorcontrib><creatorcontrib>Zhang, Zhenzhen</creatorcontrib><creatorcontrib>Li, Jingjing</creatorcontrib><creatorcontrib>Song, Tianzeng</creatorcontrib><creatorcontrib>Wang, Gaofu</creatorcontrib><creatorcontrib>Zhao, Wangsheng</creatorcontrib><title>Coping with extremes: the rumen transcriptome and microbiome co-regulate plateau adaptability of Xizang goat</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>The interactions between the rumen microbiota and the host are crucial for the digestive and absorptive processes of ruminants, and they are heavily influenced by the climatic conditions of their habitat. Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants regulate the host transcriptome and the composition of their rumen microbiota. Using the model species of goats, we examined the variations in the rumen microbiota, transcriptome regulation, and climate of the environment between high altitude (Lhasa, Xizang; 3650 m) and low altitude (Chengdu, Sichuan, China; 500 m) goats. The results of 16 S rRNA sequencing revealed variations in the abundance, diversity, and composition of rumen microbiota. Papillibacter, Quinella, and Saccharofermentans were chosen as potential microbes for the adaptation of Xizang goats to the harsh climate of the plateau by the Spearman correlation study of climate and microbiota. Based on rumen transcriptome sequencing analysis, 244 genes were found to be differentially expressed between Xizang goats and low-altitude goats, with 127 genes showing up-regulation and 117 genes showing down-regulation. SLC26A9, GPX3, ARRDC4, and COX1 were identified as potential candidates for plateau adaptation in Xizang goats. Moreover, the metabolism of fatty acids, arachidonic acids, pathway involving cytokines and their receptors could be essential for adaptation to plateau hypoxia and cold endurance. The expression of GPX3, a gene linked to plateau acclimatization in Xizang goats, was linked to the abundance of Anaerovibrio, and the expression of SLC26A9 was linked to the quantity of Selenomonas, according to ruminal microbiota and host Spearman correlation analysis. Our findings imply that in order to adapt harsh plateau conditions, Xizang goats have evolved to maximize digestion and absorption as well as to have a rumen microbiota suitable for the composition of their diet.</description><subject>Absorptivity</subject><subject>Abundance</subject><subject>Acclimatization</subject><subject>Adaptability</subject><subject>Adaptation</subject><subject>Adaptation, Psychological</subject><subject>Altitude</subject><subject>Analysis</subject><subject>Animals</subject><subject>Bacteria</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate studies</subject><subject>Climatic conditions</subject><subject>Composition</subject><subject>Correlation analysis</subject><subject>Down-regulation</subject><subject>Evolution & development</subject><subject>Fermentation</subject><subject>Gene expression</subject><subject>Gene regulation</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Goats</subject><subject>Goats - metabolism</subject><subject>High altitude</subject><subject>High-altitude environments</subject><subject>Hypoxia</subject><subject>Low altitude</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microbiota - genetics</subject><subject>Microorganisms</subject><subject>Physiology</subject><subject>Plateau adaptability</subject><subject>rRNA</subject><subject>Rumen</subject><subject>Rumen - metabolism</subject><subject>Rumen microbiota</subject><subject>Sequence analysis</subject><subject>Thermal cycling</subject><subject>Transcription factors</subject><subject>Transcriptome</subject><subject>Transcriptomes</subject><subject>Ultraviolet radiation</subject><subject>Xizang goat</subject><issn>1471-2164</issn><issn>1471-2164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2L1TAQhoso7rr6B7yQgDd60bVJkyb1bjn4cWBB8AO8C9N00s3SNjVJWddfb86e9eARCeSLZ95hZt6ieE6rc0pV8yZSphpeVoyXtKJSlOpBcUq5pCWjDX_41_2keBLjdZUhxcTj4qRWXPCaidNi3PjFzQO5cemK4M8UcML4lqQrJGGdcCYpwBxNcEvyExKYezI5E3zndk_jy4DDOkJCsux2WAn0sCTo3OjSLfGWfHe_ICcYPKSnxSMLY8Rn9-dZ8e39u6-bj-Xlpw_bzcVlaQRnqRRQd7RDNMCRtrKpO-igt6JlHa9k1fHaiL5FTmmveqSdqiwXUqAxNYJSvD4rtnvd3sO1XoKbINxqD07fffgwaAjJmRG15ZxKa43tmeWS2bZtQUpaM0Rgksus9WqvtQT_Y8WY9OSiwXGEGf0aNWsFl7KiTZ3Rl_-g134Nc650RzVK8CZjB2qAnN_N1ucWm52ovpAq15HF2kyd_4fKq8fcfz-jdfn_KOD1UUBmUp7nAGuMevvl8zHL9mweZIwB7aFHtNI7a-m9tXS2lr6zllY56MV9dWs3YX8I-eOl-jcUj8gr</recordid><startdate>20240307</startdate><enddate>20240307</enddate><creator>Pan, Cheng</creator><creator>Li, Haiyan</creator><creator>Mustafa, Shehr Bano</creator><creator>Renqing, Cuomu</creator><creator>Zhang, Zhenzhen</creator><creator>Li, Jingjing</creator><creator>Song, Tianzeng</creator><creator>Wang, Gaofu</creator><creator>Zhao, Wangsheng</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20240307</creationdate><title>Coping with extremes: the rumen transcriptome and microbiome co-regulate plateau adaptability of Xizang goat</title><author>Pan, Cheng ; Li, Haiyan ; Mustafa, Shehr Bano ; Renqing, Cuomu ; Zhang, Zhenzhen ; Li, Jingjing ; Song, Tianzeng ; Wang, Gaofu ; Zhao, Wangsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c542t-5a3b1beeca4e19763babadf592b4070b43c5d9e411d8de1b80f4575ecc3ea8843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Absorptivity</topic><topic>Abundance</topic><topic>Acclimatization</topic><topic>Adaptability</topic><topic>Adaptation</topic><topic>Adaptation, Psychological</topic><topic>Altitude</topic><topic>Analysis</topic><topic>Animals</topic><topic>Bacteria</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate studies</topic><topic>Climatic conditions</topic><topic>Composition</topic><topic>Correlation analysis</topic><topic>Down-regulation</topic><topic>Evolution & development</topic><topic>Fermentation</topic><topic>Gene expression</topic><topic>Gene regulation</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Goats</topic><topic>Goats - metabolism</topic><topic>High altitude</topic><topic>High-altitude environments</topic><topic>Hypoxia</topic><topic>Low altitude</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Microbiota - genetics</topic><topic>Microorganisms</topic><topic>Physiology</topic><topic>Plateau adaptability</topic><topic>rRNA</topic><topic>Rumen</topic><topic>Rumen - metabolism</topic><topic>Rumen microbiota</topic><topic>Sequence analysis</topic><topic>Thermal cycling</topic><topic>Transcription factors</topic><topic>Transcriptome</topic><topic>Transcriptomes</topic><topic>Ultraviolet radiation</topic><topic>Xizang goat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pan, Cheng</creatorcontrib><creatorcontrib>Li, Haiyan</creatorcontrib><creatorcontrib>Mustafa, Shehr Bano</creatorcontrib><creatorcontrib>Renqing, Cuomu</creatorcontrib><creatorcontrib>Zhang, Zhenzhen</creatorcontrib><creatorcontrib>Li, Jingjing</creatorcontrib><creatorcontrib>Song, Tianzeng</creatorcontrib><creatorcontrib>Wang, Gaofu</creatorcontrib><creatorcontrib>Zhao, Wangsheng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pan, Cheng</au><au>Li, Haiyan</au><au>Mustafa, Shehr Bano</au><au>Renqing, Cuomu</au><au>Zhang, Zhenzhen</au><au>Li, Jingjing</au><au>Song, Tianzeng</au><au>Wang, Gaofu</au><au>Zhao, Wangsheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coping with extremes: the rumen transcriptome and microbiome co-regulate plateau adaptability of Xizang goat</atitle><jtitle>BMC genomics</jtitle><addtitle>BMC Genomics</addtitle><date>2024-03-07</date><risdate>2024</risdate><volume>25</volume><issue>1</issue><spage>258</spage><epage>258</epage><pages>258-258</pages><artnum>258</artnum><issn>1471-2164</issn><eissn>1471-2164</eissn><abstract>The interactions between the rumen microbiota and the host are crucial for the digestive and absorptive processes of ruminants, and they are heavily influenced by the climatic conditions of their habitat. Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants regulate the host transcriptome and the composition of their rumen microbiota. Using the model species of goats, we examined the variations in the rumen microbiota, transcriptome regulation, and climate of the environment between high altitude (Lhasa, Xizang; 3650 m) and low altitude (Chengdu, Sichuan, China; 500 m) goats. The results of 16 S rRNA sequencing revealed variations in the abundance, diversity, and composition of rumen microbiota. Papillibacter, Quinella, and Saccharofermentans were chosen as potential microbes for the adaptation of Xizang goats to the harsh climate of the plateau by the Spearman correlation study of climate and microbiota. Based on rumen transcriptome sequencing analysis, 244 genes were found to be differentially expressed between Xizang goats and low-altitude goats, with 127 genes showing up-regulation and 117 genes showing down-regulation. SLC26A9, GPX3, ARRDC4, and COX1 were identified as potential candidates for plateau adaptation in Xizang goats. Moreover, the metabolism of fatty acids, arachidonic acids, pathway involving cytokines and their receptors could be essential for adaptation to plateau hypoxia and cold endurance. The expression of GPX3, a gene linked to plateau acclimatization in Xizang goats, was linked to the abundance of Anaerovibrio, and the expression of SLC26A9 was linked to the quantity of Selenomonas, according to ruminal microbiota and host Spearman correlation analysis. Our findings imply that in order to adapt harsh plateau conditions, Xizang goats have evolved to maximize digestion and absorption as well as to have a rumen microbiota suitable for the composition of their diet.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38454325</pmid><doi>10.1186/s12864-024-10175-8</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Absorptivity Abundance Acclimatization Adaptability Adaptation Adaptation, Psychological Altitude Analysis Animals Bacteria Climate Climate change Climate studies Climatic conditions Composition Correlation analysis Down-regulation Evolution & development Fermentation Gene expression Gene regulation Gene sequencing Genes Genetic aspects Genomes Goats Goats - metabolism High altitude High-altitude environments Hypoxia Low altitude Metabolism Metabolites Microbiomes Microbiota Microbiota - genetics Microorganisms Physiology Plateau adaptability rRNA Rumen Rumen - metabolism Rumen microbiota Sequence analysis Thermal cycling Transcription factors Transcriptome Transcriptomes Ultraviolet radiation Xizang goat |
title | Coping with extremes: the rumen transcriptome and microbiome co-regulate plateau adaptability of Xizang goat |
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