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      Hologenomic insights into mammalian adaptations to myrmecophagy

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          Abstract

          Highly specialized myrmecophagy (ant- and termite-eating) has independently evolved multiple times in species of various mammalian orders and represents a textbook example of phenotypic evolutionary convergence. We explored the mechanisms involved in this unique dietary adaptation and convergence through multi-omic analyses, including analyses of host genomes and transcriptomes, as well as gut metagenomes, in combination with validating assays of key enzymes’ activities, in the species of three mammalian orders (anteaters, echidnas and pangolins of the orders Xenarthra, Monotremata and Pholidota, respectively) and their relatives. We demonstrate the complex and diverse interactions between hosts and their symbiotic microbiota that have provided adaptive solutions for nutritional and detoxification challenges associated with high levels of protein and lipid metabolisms, trehalose degradation, and toxic substance detoxification. Interestingly, we also reveal their spatially complementary cooperation involved in degradation of ants’ and termites’ chitin exoskeletons. This study contributes new insights into the dietary evolution of mammals and the mechanisms involved in the coordination of physiological functions by animal hosts and their gut commensals.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

            Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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              PAML 4: phylogenetic analysis by maximum likelihood.

              PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML). The programs may be used to compare and test phylogenetic trees, but their main strengths lie in the rich repertoire of evolutionary models implemented, which can be used to estimate parameters in models of sequence evolution and to test interesting biological hypotheses. Uses of the programs include estimation of synonymous and nonsynonymous rates (d(N) and d(S)) between two protein-coding DNA sequences, inference of positive Darwinian selection through phylogenetic comparison of protein-coding genes, reconstruction of ancestral genes and proteins for molecular restoration studies of extinct life forms, combined analysis of heterogeneous data sets from multiple gene loci, and estimation of species divergence times incorporating uncertainties in fossil calibrations. This note discusses some of the major applications of the package, which includes example data sets to demonstrate their use. The package is written in ANSI C, and runs under Windows, Mac OSX, and UNIX systems. It is available at -- (http://abacus.gene.ucl.ac.uk/software/paml.html).
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                Author and article information

                Contributors
                Journal
                Natl Sci Rev
                Natl Sci Rev
                nsr
                National Science Review
                Oxford University Press
                2095-5138
                2053-714X
                April 2023
                24 August 2022
                24 August 2022
                : 10
                : 4
                : nwac174
                Affiliations
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223, China
                Department of Natural History , Royal Ontario Museum, Toronto, ON M5S2C6, Canada
                Guangzhou Zoo , Guangzhou 510000, China
                State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223, China
                Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223, China
                Beijing Zoo , Beijing 100000, China
                Department of Laboratory Medicine and Pathobiology, University of Toronto , Toronto, ON M5S2E8, Canada
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223, China
                Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences , Kunming 650223, China
                State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University , Kunming 650091, China
                Author notes
                Corresponding author. E-mail: yuli@ 123456ynu.edu.cn
                Corresponding author. E-mail: zhangyp@ 123456mail.kiz.ac.cn
                Corresponding author. E-mail: zhangzhigang@ 123456ynu.edu.cn

                Equally contributed to this work.

                Author information
                https://orcid.org/0000-0002-5401-1114
                https://orcid.org/0000-0003-1891-9501
                Article
                nwac174
                10.1093/nsr/nwac174
                10139702
                37124465
                b275e5ee-3dfc-4dbd-8459-d033a3b52f3a
                © The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 March 2022
                : 05 August 2022
                : 14 August 2022
                : 27 April 2023
                Page count
                Pages: 13
                Funding
                Funded by: National Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: 31925006
                Award ID: U2002206
                Award ID: 31970571
                Funded by: Major Science and Technology Project in Yunnan Province of China;
                Award ID: 202001BB050001
                Funded by: Second Tibetan Plateau Scientific Expedition and Research (STEP) program of China;
                Award ID: 2019QZKK0503
                Categories
                Research Article
                Molecular Biology & Genetics
                AcademicSubjects/MED00010
                AcademicSubjects/SCI00010
                Nsr/8

                myrmecophagy,adaptive evolution,hologenome,genomics,metagenomics,convergent evolution

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