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      Longitudinal patterns in the skin microbiome of wild, individually marked frogs from the Sierra Nevada, California

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          Abstract

          The amphibian skin microbiome has been the focus of numerous studies because of the protective effects that some bacteria provide against the pathogenic fungus Batrachochytrium dendrobatidis, which has caused a global panzootic among amphibians. However, the mechanisms driving community structure and function in the amphibian skin microbiome are still poorly understood, and longitudinal analyses of the skin microbiome have not yet been conducted in wild populations. In this study, we investigate longitudinal patterns in the skin microbiome of 19 individually marked adult frogs from two wild populations of the endangered Sierra Nevada yellow-legged frog ( Rana sierrae), sampled over the course of 2 years. We found that individuals with low bacterial diversity (dominated by order Burkhorderiales) had significantly more stable bacterial communities than those with higher diversity. Amplicon sequence variants (ASVs) with high relative abundance were significantly less transient than those with low relative abundance, and ASVs with intermediate-level relative abundances experienced the greatest volatility over time. Based on these results, we suggest that efforts to develop probiotic treatments to combat B. dendrobatidis should focus on bacteria that are found at high relative abundances in some members of a population, as these strains are more likely to persist and remain stable in the long term.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                silas.d.l.ellison@gmail.com
                Journal
                ISME Commun
                ISME Commun
                ISME Communications
                Nature Publishing Group UK (London )
                2730-6151
                2730-6151
                1 September 2021
                1 September 2021
                2021
                : 1
                : 45
                Affiliations
                [1 ]GRID grid.263091.f, ISNI 0000000106792318, Department of Biology, , San Francisco State University, ; San Francisco, California USA
                [2 ]Sierra Nevada Aquatic Research Laboratory, University of California, Mammoth Lakes, CA USA
                [3 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Museum of Vertebrate Zoology, , University of California, ; Berkeley, California USA
                Author information
                http://orcid.org/0000-0002-7698-4013
                http://orcid.org/0000-0002-1954-2745
                Article
                47
                10.1038/s43705-021-00047-7
                9723788
                1d09649a-66b2-47c7-a7da-9c45d6c00c29
                © The Author(s) 2021, corrected publication 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 January 2021
                : 4 August 2021
                : 17 August 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100006959, United States Department of Agriculture | U.S. Forest Service (Forest Service);
                Award ID: 13-DG-11272170-002
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: DEB-11202283
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100006747, San Francisco State University (SF State);
                Funded by: FundRef https://doi.org/10.13039/100008134, California State University (CSU);
                Funded by: FundRef https://doi.org/10.13039/100005835, American Museum of Natural History (AMNH);
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                microbiome,microbial ecology,conservation biology
                microbiome, microbial ecology, conservation biology

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