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      The evolution and genomic basis of beetle diversity

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          We inferred the phylogeny and evolution of beetles using genomic data of an unprecedented scale. Moreover, we documented the diversification of plant-feeding (herbivorous) beetles, which account for nearly half of all beetle species and a similar proportion of herbivorous insects, following convergent horizontal transfers of bacterial and fungal genes enabling the digestion of lignocellulose in plant cell walls. Our findings clarify beetle phylogenetic relationships and reveal new insights into the evolution of specialized herbivory and why there are so many species of beetles. Furthermore, they underscore the intimacy and complexity of the evolutionary relationships between insects, plants, and microorganisms and show how analyses of large-scale genomic data are revealing the evolution and genomic basis of insect biodiversity.

          Abstract

          The order Coleoptera (beetles) is arguably the most speciose group of animals, but the evolutionary history of beetles, including the impacts of plant feeding (herbivory) on beetle diversification, remain poorly understood. We inferred the phylogeny of beetles using 4,818 genes for 146 species, estimated timing and rates of beetle diversification using 89 genes for 521 species representing all major lineages and traced the evolution of beetle genes enabling symbiont-independent digestion of lignocellulose using 154 genomes or transcriptomes. Phylogenomic analyses of these uniquely comprehensive datasets resolved previously controversial beetle relationships, dated the origin of Coleoptera to the Carboniferous, and supported the codiversification of beetles and angiosperms. Moreover, plant cell wall-degrading enzymes (PCWDEs) obtained from bacteria and fungi via horizontal gene transfers may have been key to the Mesozoic diversification of herbivorous beetles—remarkably, both major independent origins of specialized herbivory in beetles coincide with the first appearances of an arsenal of PCWDEs encoded in their genomes. Furthermore, corresponding (Jurassic) diversification rate increases suggest that these novel genes triggered adaptive radiations that resulted in nearly half of all living beetle species. We propose that PCWDEs enabled efficient digestion of plant tissues, including lignocellulose in cell walls, facilitating the evolution of uniquely specialized plant-feeding habits, such as leaf mining and stem and wood boring. Beetle diversity thus appears to have resulted from multiple factors, including low extinction rates over a long evolutionary history, codiversification with angiosperms, and adaptive radiations of specialized herbivorous beetles following convergent horizontal transfers of microbial genes encoding PCWDEs.

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          Most cited references62

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          Butterflies and Plants: A Study in Coevolution

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            SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

            Abstract Quality control (QC) and preprocessing are essential steps for sequencing data analysis to ensure the accuracy of results. However, existing tools cannot provide a satisfying solution with integrated comprehensive functions, proper architectures, and highly scalable acceleration. In this article, we demonstrate SOAPnuke as a tool with abundant functions for a “QC-Preprocess-QC” workflow and MapReduce acceleration framework. Four modules with different preprocessing functions are designed for processing datasets from genomic, small RNA, Digital Gene Expression, and metagenomic experiments, respectively. As a workflow-like tool, SOAPnuke centralizes processing functions into 1 executable and predefines their order to avoid the necessity of reformatting different files when switching tools. Furthermore, the MapReduce framework enables large scalability to distribute all the processing works to an entire compute cluster. We conducted a benchmarking where SOAPnuke and other tools are used to preprocess a ∼30× NA12878 dataset published by GIAB. The standalone operation of SOAPnuke struck a balance between resource occupancy and performance. When accelerated on 16 working nodes with MapReduce, SOAPnuke achieved ∼5.7 times the fastest speed of other tools.
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              BUTTERFLIES AND PLANTS: A STUDY IN COEVOLUTION

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                3 December 2019
                18 November 2019
                18 November 2019
                : 116
                : 49
                : 24729-24737
                Affiliations
                [1] aDepartment of Biological Sciences, University of Memphis , Memphis, TN 38152;
                [2] bCenter for Biodiversity Research, University of Memphis , Memphis, TN 38152;
                [3] cCenter for Taxonomy and Evolutionary Research, Arthropoda Department, Zoologisches Forschungsmuseum Alexander Koenig , 53113 Bonn, Germany;
                [4] dBavarian State Collection of Zoology, Bavarian Natural History Collections , 81247 Munich, Germany;
                [5] eCenter for Molecular Biodiversity Research, Zoological Research Museum Alexander Koenig , 53113 Bonn, Germany;
                [6] fAustralian National Insect Collection, Commonwealth Scientific and Industrial Research Organisation , Canberra, ACT 2601, Australia;
                [7] gDepartment of Evolutionary Biology and Ecology, Institute for Biology I (Zoology), University of Freiburg , 79104 Freiburg, Germany;
                [8] hInstitute of Zoology, University of Hamburg , D-20146 Hamburg, Germany;
                [9] iDepartment of Botany and Biodiversity Research, University of Wien , Wien 1030, Austria;
                [10] jChina National GeneBank, BGI-Shenzhen , 518083 Guangdong, People’s Republic of China;
                [11] kDepartment of Integrative Biology, Oregon State University , Corvallis, OR 97331;
                [12] lInstitut für Zoologie und Evolutionsforschung, Friedrich-Schiller-Universität Jena , D-07743 Jena, Germany;
                [13] mCenter for Grain and Animal Health, Stored Product Insect and Engineering Research Unit, Agricultural Research Service, US Department of Agriculture , Manhattan, KS 66502;
                [14] nBorissiak Paleontological Institute, Russian Academy of Sciences , 117997 Moscow, Russia;
                [15] oDepartment of Entomology, China Agricultural University , 100193 Beijing, People’s Republic of China
                Author notes
                1To whom correspondence may be addressed. Email: dmckenna@ 123456memphis.edu .

                Edited by Douglas Futuyma, Stony Brook University, Stony Brook, NY, and approved October 15, 2019 (received for review June 5, 2019)

                Author contributions: D.D.M., S.S., H.L., B.M., R.S.P., X.Z., A.Ś., and R.G.B. designed research; D.D.M., S.S., S.L., B.M., R.S.P., X.Z., A.Ś., and R.G.B. performed research; D.D.M., S.S., A.D., H.L., C.M., B.M., O.N., R.S.P., and L.P. contributed new reagents/analytic tools; D.D.M., S.S., C.B., D.J.C., A.D., H.L., P.J.M., E.D.S., E.V.Y., and R.G.B. analyzed data; D.D.M., S.S., D.A., M.B., C.B., D.J.C., A.D., H.E.E., F.F., H.L., S.L., D.M., C.M., B.M., P.J.M., O.N., R.S.P., L.P., H.P., E.D.S., E.V.Y., X.Z., A.Ś., and R.G.B. wrote the paper; D.D.M., D.A., M.B., C.B., H.E.E., H.L., R.S.P., H.P., and A.Ś. contributed specimens for study; and D.M. contributed data.

                2D.D.M. and S.S. contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-5618-0547
                http://orcid.org/0000-0001-5104-6621
                Article
                201909655
                10.1073/pnas.1909655116
                6900523
                31740605
                16b3e9be-8b54-4d34-adee-732874636d29
                Copyright © 2019 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 9
                Funding
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: DEB1355169
                Award Recipient : Duane D McKenna
                Categories
                PNAS Plus
                Biological Sciences
                Evolution
                From the Cover
                PNAS Plus

                adaptive radiation,herbivory,horizontal gene transfer,microbes,phylogeny

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