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      Multiple Roots of Fruiting Body Formation in Amoebozoa

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          Abstract

          Establishment of multicellularity represents a major transition in eukaryote evolution. A subgroup of Amoebozoa, the dictyosteliids, has evolved a relatively simple aggregative multicellular stage resulting in a fruiting body supported by a stalk. Protosteloid amoeba, which are scattered throughout the amoebozoan tree, differ by producing only one or few single stalked spores. Thus, one obvious difference in the developmental cycle of protosteliids and dictyosteliids seems to be the establishment of multicellularity. To separate spore development from multicellular interactions, we compared the genome and transcriptome of a Protostelium species ( Protostelium aurantium var. fungivorum) with those of social and solitary members of the Amoebozoa. During fruiting body formation nearly 4,000 genes, corresponding to specific pathways required for differentiation processes, are upregulated. A comparison with genes involved in the development of dictyosteliids revealed conservation of >500 genes, but most of them are also present in Acanthamoeba castellanii for which fruiting bodies have not been documented. Moreover, expression regulation of those genes differs between P. aurantium and Dictyostelium discoideum. Within Amoebozoa differentiation to fruiting bodies is common, but our current genome analysis suggests that protosteliids and dictyosteliids used different routes to achieve this. Most remarkable is both the large repertoire and diversity between species in genes that mediate environmental sensing and signal processing. This likely reflects an immense adaptability of the single cell stage to varying environmental conditions. We surmise that this signaling repertoire provided sufficient building blocks to accommodate the relatively simple demands for cell–cell communication in the early multicellular forms.

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          SMART, a simple modular architecture research tool: identification of signaling domains.

          Accurate multiple alignments of 86 domains that occur in signaling proteins have been constructed and used to provide a Web-based tool (SMART: simple modular architecture research tool) that allows rapid identification and annotation of signaling domain sequences. The majority of signaling proteins are multidomain in character with a considerable variety of domain combinations known. Comparison with established databases showed that 25% of our domain set could not be deduced from SwissProt and 41% could not be annotated by Pfam. SMART is able to determine the modular architectures of single sequences or genomes; application to the entire yeast genome revealed that at least 6.7% of its genes contain one or more signaling domains, approximately 350 greater than previously annotated. The process of constructing SMART predicted (i) novel domain homologues in unexpected locations such as band 4.1-homologous domains in focal adhesion kinases; (ii) previously unknown domain families, including a citron-homology domain; (iii) putative functions of domain families after identification of additional family members, for example, a ubiquitin-binding role for ubiquitin-associated domains (UBA); (iv) cellular roles for proteins, such predicted DEATH domains in netrin receptors further implicating these molecules in axonal guidance; (v) signaling domains in known disease genes such as SPRY domains in both marenostrin/pyrin and Midline 1; (vi) domains in unexpected phylogenetic contexts such as diacylglycerol kinase homologues in yeast and bacteria; and (vii) likely protein misclassifications exemplified by a predicted pleckstrin homology domain in a Candida albicans protein, previously described as an integrin.
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            Clustal Omega, accurate alignment of very large numbers of sequences.

            Clustal Omega is a completely rewritten and revised version of the widely used Clustal series of programs for multiple sequence alignment. It can deal with very large numbers (many tens of thousands) of DNA/RNA or protein sequences due to its use of the mBED algorithm for calculating guide trees. This algorithm allows very large alignment problems to be tackled very quickly, even on personal computers. The accuracy of the program has been considerably improved over earlier Clustal programs, through the use of the HHalign method for aligning profile hidden Markov models. The program currently is used from the command line or can be run on line.
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              Genomic analysis of organismal complexity in the multicellular green alga Volvox carteri.

              The multicellular green alga Volvox carteri and its morphologically diverse close relatives (the volvocine algae) are well suited for the investigation of the evolution of multicellularity and development. We sequenced the 138-mega-base pair genome of V. carteri and compared its approximately 14,500 predicted proteins to those of its unicellular relative Chlamydomonas reinhardtii. Despite fundamental differences in organismal complexity and life history, the two species have similar protein-coding potentials and few species-specific protein-coding gene predictions. Volvox is enriched in volvocine-algal-specific proteins, including those associated with an expanded and highly compartmentalized extracellular matrix. Our analysis shows that increases in organismal complexity can be associated with modifications of lineage-specific proteins rather than large-scale invention of protein-coding capacity.
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                Author and article information

                Journal
                Genome Biol Evol
                Genome Biol Evol
                gbe
                Genome Biology and Evolution
                Oxford University Press
                1759-6653
                February 2018
                25 January 2018
                25 January 2018
                : 10
                : 2
                : 591-606
                Affiliations
                [1 ]Junior Research Group Evolution of Microbial Interaction, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Jena, Germany
                [2 ]Division of Cell and Developmental Biology, School of Life Sciences, University of Dundee, United Kingdom
                [3 ]Bioinformatics/High Throughput Analysis, Friedrich Schiller University Jena, Germany
                [4 ]CF DNA-Sequencing, Leibniz Institute on Aging Research, Jena, Germany
                [5 ]Electron Microscopy Center, Jena University Hospital, Germany
                [6 ]Pharmaceutical Biology, Institute of Pharmacy, Friedrich Schiller University Jena, Germany
                [7 ]Institute of Biochemistry I, Medical Faculty, University of Cologne, Germany
                Author notes

                Associate editor: Sandra Baldauf

                Data deposition: The genome sequence and gene predictions of Protostelium aurantium and Protostelium mycophagum were deposited in GenBank under the Accession Numbers MDYQ00000000 and MZNV00000000, respectively. The mitochondrial genome of P. mycophagum was deposited under the Accession number KY75056 and that of P. aurantium under the Accession number KY75057. The RNAseq reads can be found in Bioproject Accession PRJNA338377. All sequence and annotation data are also available directly from the authors. The P. aurantium strain is deposited in the Jena Microbial Resource Collection (JMRC) under accession number SF0012540.

                Article
                evy011
                10.1093/gbe/evy011
                5804921
                29378020
                4aa7b2df-a9ae-4c46-b449-5baf5b238d4b
                © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 11 January 2018
                Page count
                Pages: 16
                Funding
                Funded by: European Social Fund 10.13039/501100004895
                Categories
                Research Article

                Genetics
                multicellular development,transcriptome,protostelium,dictyostelia,evolution of development,signaling,amoebozoa

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