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      Species variations in the gut microbiota of captive snub-nosed monkeys

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          Abstract

          Introduction

          Snub-nosed monkeys are species in danger of extinction due to habitat fragmentation and human activities. Captivity has been suggested as an Auxiliary Conservation Area (ASA) strategy. However, little is known about the adaptation of different species of snub-nosed monkeys to captive environments.

          Methods

          This study compared the gut microbiota between Rhinopithecus bieti, R. brelichi, and R. roxellana under identical captive conditions to provide insights for improving captive conservation strategies.

          Results

          The results showed that these three Rhinopithecus species shared 80.94% of their Operational Taxonomic Unit (OTU), indicating high similarity in gut microbiota composition. The predominant phyla were Firmicutes and Bacteroidetes for all three Rhinopithecus species, but differences were observed in diversity, characteristic bacterial communities, and predicted function. Significant enrichment of cellulolytic families, including Ruminococcaceae, Clostridiales vadinBB60 group, Christensenellaceae, and Erysipelotrichaceae, and pathways involved in propionate and butyrate metabolism in the gut of R. bieti suggested that it may have a superior dietary fiber utilization capacity. In contrast, Bacteroidetes, Ruminoccaceae, and Trichospiraceae were more abundant in R. brelichi and R. roxellana, and were associated with saccharide and glycan metabolic pathways. Moreover, R. brelichi and R. roxellana also had higher similarity in microbiota composition and predicted function.

          Discussion

          In conclusion, the results demonstrate that host species are associated with the composition and function of the gut microbiota in snub-nosed monkeys. Thus, host species should be considered when formulating nutritional strategies and disease surveillance in captive snub-nosed monkeys.

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          Most cited references52

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              KEGG: kyoto encyclopedia of genes and genomes.

              M Kanehisa (2000)
              KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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                Author and article information

                Contributors
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                13 September 2023
                2023
                : 14
                : 1250865
                Affiliations
                [1] 1 College of Biology and Food, Shangqiu Normal University , Shangqiu, China
                [2] 2 Henan Engineering Research Center of Development and Application of Green Feed Additives, College of Biology and Food, Shangqiu Normal University , Shangqiu, China
                [3] 3 Institute of Animal Health, Guangdong Academy of Agricultural Sciences , Guangzhou, China
                [4] 4 College of Veterinary Medicine, Northwest A&F University , Yangling, China
                Author notes

                Edited by: Fazul Nabi, Southwest University, China

                Reviewed by: Xin-He Lai, University of Colorado Anschutz Medical Campus, United States; Nurgulsim Kaster, S. Seifullin Kazakh Agro Technical University, Kazakhstan; Reetesh Kumar, GLA University, India

                *Correspondence: Xiaohui Wen, wenxiaohui@ 123456gdaas.cn ; Longfei Zhao, hnzhaolongfei@ 123456163.com ; Xinxi Qin, qinxinxi@ 123456163.com
                Article
                10.3389/fendo.2023.1250865
                10534982
                37780618
                9f6e0229-c039-4518-8e86-b0433541f514
                Copyright © 2023 Xi, Han, Wen, Zhao, Qin, Luo, Lv and Song

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 June 2023
                : 29 August 2023
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 52, Pages: 8, Words: 3746
                Funding
                This study was funded by the key research and development projects of Henan Province (222102320024); Guangdong provincial special fund for modern agriculture industry technology innovation teams (Department of Agriculture and Rural Affairs of Guangdong Province: 2023KJ119); and National natural science foundation of China (32072753).
                Categories
                Endocrinology
                Original Research
                Custom metadata
                Gut Endocrinology

                Endocrinology & Diabetes
                snub-nosed monkey,gut microbiota,captivity,species,conservation
                Endocrinology & Diabetes
                snub-nosed monkey, gut microbiota, captivity, species, conservation

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