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      Three new Diplozoidae mitogenomes expose unusual compositional biases within the Monogenea class: implications for phylogenetic studies

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          Abstract

          Background

          As the topologies produced by previous molecular and morphological studies were contradictory and unstable (polytomy), evolutionary relationships within the Diplozoidae family and the Monogenea class (controversial relationships among the Discocotylinea, Microcotylinea and Gastrocotylinea suborders) remain unresolved. Complete mitogenomes carry a relatively large amount of information, sufficient to provide a much higher phylogenetic resolution than traditionally used morphological traits and/or single molecular markers. However, their implementation is hampered by the scarcity of available monogenean mitogenomes. Therefore, we sequenced and characterized mitogenomes belonging to three Diplozoidae family species, and conducted comparative genomic and phylogenomic analyses for the entire Monogenea class.

          Results

          Taxonomic identification was inconclusive, so two of the species were identified merely to the genus level. The complete mitogenomes of Sindiplozoon sp. and Eudiplozoon sp. are 14,334 bp and 15,239 bp in size, respectively. Paradiplozoon opsariichthydis (15,385 bp) is incomplete: an approximately 2000 bp-long gap within a non-coding region could not be sequenced. Each genome contains the standard 36 genes ( atp8 is missing). G + T content and the degree of GC- and AT-skews of these three mitogenome (and their individual elements) were higher than in other monogeneans. nad2, atp6 and nad6 were the most variable PCGs, whereas cox1, nad1 and cytb were the most conserved. Mitochondrial phylogenomics analysis, conducted using concatenated amino acid sequences of all PCGs, indicates that evolutionary relationships of the three genera are: ( Eudiplozoon, ( Paradiplozoon, Sindiplozoon)); and of the three suborders: (Discocotylinea, (Microcotylinea, Gastrocotylinea)). These intergeneric relationships were also supported by the skewness and principal component analyses.

          Conclusions

          Our results show that nad2, atp6 and nad6 (fast-evolving) would be better candidates than cox1 (slow-evolving) for species identification and population genetics studies in Diplozoidae. Nucleotide bias and codon and amino acid usage patterns of the three diplozoid mitogenomes are more similar to cestodes and trematodes than to other monogenean flatworms. This unusual mutational bias was reflected in disproportionately long branches in the phylogram. Our study offsets the scarcity of molecular data for the subclass Polyopisthocotylea to some extent, and might provide important new insights into the evolutionary history of the three genera and three suborders.

          Electronic supplementary material

          The online version of this article (10.1186/s12862-018-1249-3) contains supplementary material, which is available to authorized users.

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          Most cited references68

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          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            Evolution of the mitochondrial genome of Metazoa as exemplified by comparison of congeneric species.

            The mitochondrial genome (mtDNA) of Metazoa is a good model system for evolutionary genomic studies and the availability of more than 1000 sequences provides an almost unique opportunity to decode the mechanisms of genome evolution over a large phylogenetic range. In this paper, we review several structural features of the metazoan mtDNA, such as gene content, genome size, genome architecture and the new parameter of gene strand asymmetry in a phylogenetic framework. The data reviewed here show that: (1) the plasticity of Metazoa mtDNA is higher than previously thought and mainly due to variation in number and location of tRNA genes; (2) an exceptional trend towards stabilization of genomic features occurred in deuterostomes and was exacerbated in vertebrates, where gene content, genome architecture and gene strand asymmetry are almost invariant. Only tunicates exhibit a very high degree of genome variability comparable to that found outside deuterostomes. In order to analyse the genomic evolutionary process at short evolutionary distances, we have also compared mtDNAs of species belonging to the same genus: the variability observed in congeneric species significantly recapitulates the evolutionary dynamics observed at higher taxonomic ranks, especially for taxa showing high levels of genome plasticity and/or fast nucleotide substitution rates. Thus, the analysis of congeneric species promises to be a valuable approach for the assessment of the mtDNA evolutionary trend in poorly or not yet sampled metazoan groups.
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              Adaptation of Hansenula polymorpha to methanol: a transcriptome analysis

              Background Methylotrophic yeast species (e.g. Hansenula polymorpha, Pichia pastoris) can grow on methanol as sole source of carbon and energy. These organisms are important cell factories for the production of recombinant proteins, but are also used in fundamental research as model organisms to study peroxisome biology. During exponential growth on glucose, cells of H. polymorpha typically contain a single, small peroxisome that is redundant for growth while on methanol multiple, enlarged peroxisomes are present. These organelles are crucial to support growth on methanol, as they contain key enzymes of methanol metabolism. In this study, changes in the transcriptional profiles during adaptation of H. polymorpha cells from glucose- to methanol-containing media were investigated using DNA-microarray analyses. Results Two hours after the shift of cells from glucose to methanol nearly 20% (1184 genes) of the approximately 6000 annotated H. polymorpha genes were significantly upregulated with at least a two-fold differential expression. Highest upregulation (> 300-fold) was observed for the genes encoding the transcription factor Mpp1 and formate dehydrogenase, an enzyme of the methanol dissimilation pathway. Upregulated genes also included genes encoding other enzymes of methanol metabolism as well as of peroxisomal β-oxidation. A moderate increase in transcriptional levels (up to 4-fold) was observed for several PEX genes, which are involved in peroxisome biogenesis. Only PEX11 and PEX32 were higher upregulated. In addition, an increase was observed in expression of the several ATG genes, which encode proteins involved in autophagy and autophagy processes. The strongest upregulation was observed for ATG8 and ATG11. Approximately 20% (1246 genes) of the genes were downregulated. These included glycolytic genes as well as genes involved in transcription and translation. Conclusion Transcriptional profiling of H. polymorpha cells shifted from glucose to methanol showed the expected downregulation of glycolytic genes together with upregulation of the methanol utilisation pathway. This serves as a confirmation and validation of the array data obtained. Consistent with this, also various PEX genes were upregulated. The strong upregulation of ATG genes is possibly due to induction of autophagy processes related to remodeling of the cell architecture required to support growth on methanol. These processes may also be responsible for the enhanced peroxisomal β-oxidation, as autophagy leads to recycling of membrane lipids. The prominent downregulation of transcription and translation may be explained by the reduced growth rate on methanol (td glucose 1 h vs td methanol 4.5 h).
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                Author and article information

                Contributors
                dongzhang0725@gmail.com
                zouhong@ihb.ac.cn
                wusgz@ihb.ac.cn
                liming82101920@aliyun.com
                ivanjakovlic@yahoo.com
                zhangjin2001@163.com
                chenrong2S@163.com
                liwx@ihb.ac.cn
                gtwang@ihb.ac.cn
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                3 September 2018
                3 September 2018
                2018
                : 18
                : 133
                Affiliations
                [1 ]ISNI 0000 0004 1792 6029, GRID grid.429211.d, Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, and State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, ; Wuhan, 430072 People’s Republic of China
                [2 ]ISNI 0000 0004 1797 8419, GRID grid.410726.6, University of Chinese Academy of Sciences, ; Beijing, People’s Republic of China
                [3 ]Bio-Transduction Lab, Biolake, Wuhan, 430075 People’s Republic of China
                Author information
                http://orcid.org/0000-0002-0902-6704
                Article
                1249
                10.1186/s12862-018-1249-3
                6122551
                30176801
                21f71625-f5be-4662-8ffe-4f87e1904fac
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 April 2018
                : 20 August 2018
                Funding
                Funded by: Earmarked Fund for China Agriculture Research System
                Award ID: CARS-46-08
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31572658
                Funded by: Major Scientific and Technological Innovation Project of Hubei Province
                Award ID: 2015ABA045
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Evolutionary Biology
                phylogenomics,mutational bias,molecular marker,long branch,amino acid usage,ancestral gene order reconstruction

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