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      Metagenomic Analysis of the Indian Ocean Picocyanobacterial Community: Structure, Potential Function and Evolution

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          Abstract

          Unicellular cyanobacteria are ubiquitous photoautotrophic microbes that contribute substantially to global primary production. Picocyanobacteria such as Synechococcus and Prochlorococcus depend on chlorophyll a-binding protein complexes to capture light energy. In addition, Synechococcus has accessory pigments organized into phycobilisomes, and Prochlorococcus contains chlorophyll b. Across a surface water transect spanning the sparsely studied tropical Indian Ocean, we examined Synechococcus and Prochlorococcus occurrence, taxonomy and habitat preference in an evolutionary context. Shotgun sequencing of size fractionated microbial communities from 0.1 μm to 20 μm and subsequent phylogenetic analysis indicated that cyanobacteria account for up to 15% of annotated reads, with the genera Prochlorococcus and Synechococcus comprising 90% of the cyanobacterial reads, even in the largest size fraction (3.0–20 mm). Phylogenetic analyses of cyanobacterial light-harvesting genes (chl-binding pcb/isiA, allophycocyanin ( apcAB), phycocyanin ( cpcAB) and phycoerythin ( cpeAB)) mostly identified picocyanobacteria clades comprised of overlapping sequences obtained from Indian Ocean, Atlantic and/or Pacific Oceans samples. Habitat reconstructions coupled with phylogenetic analysis of the Indian Ocean samples suggested that large Synechococcus-like ancestors in coastal waters expanded their ecological niche towards open oligotrophic waters in the Indian Ocean through lineage diversification and associated streamlining of genomes ( e. g. loss of phycobilisomes and acquisition of Chl b); resulting in contemporary small celled Prochlorococcus. Comparative metagenomic analysis with picocyanobacteria populations in other oceans suggests that this evolutionary scenario may be globally important.

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          Most cited references31

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          Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus.

          The Cyanobacteria Prochlorococcus and Synechococcus account for a substantial fraction of marine primary production. Here, we present quantitative niche models for these lineages that assess present and future global abundances and distributions. These niche models are the result of neural network, nonparametric, and parametric analyses, and they rely on >35,000 discrete observations from all major ocean regions. The models assess cell abundance based on temperature and photosynthetically active radiation, but the individual responses to these environmental variables differ for each lineage. The models estimate global biogeographic patterns and seasonal variability of cell abundance, with maxima in the warm oligotrophic gyres of the Indian and the western Pacific Oceans and minima at higher latitudes. The annual mean global abundances of Prochlorococcus and Synechococcus are 2.9 ± 0.1 × 10(27) and 7.0 ± 0.3 × 10(26) cells, respectively. Using projections of sea surface temperature as a result of increased concentration of greenhouse gases at the end of the 21st century, our niche models projected increases in cell numbers of 29% and 14% for Prochlorococcus and Synechococcus, respectively. The changes are geographically uneven but include an increase in area. Thus, our global niche models suggest that oceanic microbial communities will experience complex changes as a result of projected future climate conditions. Because of the high abundances and contributions to primary production of Prochlorococcus and Synechococcus, these changes may have large impacts on ocean ecosystems and biogeochemical cycles.
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            Genomic and functional adaptation in surface ocean planktonic prokaryotes.

            The understanding of marine microbial ecology and metabolism has been hampered by the paucity of sequenced reference genomes. To this end, we report the sequencing of 137 diverse marine isolates collected from around the world. We analysed these sequences, along with previously published marine prokaryotic genomes, in the context of marine metagenomic data, to gain insights into the ecology of the surface ocean prokaryotic picoplankton (0.1-3.0 μm size range). The results suggest that the sequenced genomes define two microbial groups: one composed of only a few taxa that are nearly always abundant in picoplanktonic communities, and the other consisting of many microbial taxa that are rarely abundant. The genomic content of the second group suggests that these microbes are capable of slow growth and survival in energy-limited environments, and rapid growth in energy-rich environments. By contrast, the abundant and cosmopolitan picoplanktonic prokaryotes for which there is genomic representation have smaller genomes, are probably capable of only slow growth and seem to be relatively unable to sense or rapidly acclimate to energy-rich conditions. Their genomic features also lead us to propose that one method used to avoid predation by viruses and/or bacterivores is by means of slow growth and the maintenance of low biomass.
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              Widespread iron-rich conditions in the mid-Proterozoic ocean.

              The chemical composition of the ocean changed markedly with the oxidation of the Earth's surface, and this process has profoundly influenced the evolutionary and ecological history of life. The early Earth was characterized by a reducing ocean-atmosphere system, whereas the Phanerozoic eon (less than 542 million years ago) is known for a stable and oxygenated biosphere conducive to the radiation of animals. The redox characteristics of surface environments during Earth's middle age (1.8-1 billion years ago) are less well known, but it is generally assumed that the mid-Proterozoic was home to a globally sulphidic (euxinic) deep ocean. Here we present iron data from a suite of mid-Proterozoic marine mudstones. Contrary to the popular model, our results indicate that ferruginous (anoxic and Fe(2+)-rich) conditions were both spatially and temporally extensive across diverse palaeogeographic settings in the mid-Proterozoic ocean, inviting new models for the temporal distribution of iron formations and the availability of bioessential trace elements during a critical window for eukaryotic evolution. © 2011 Macmillan Publishers Limited. All rights reserved
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 May 2016
                2016
                : 11
                : 5
                : e0155757
                Affiliations
                [1 ]Department of Molecular Genetic and Microbiology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Alameda 340, Casilla 114-D, C.P. 651 3677, Santiago, Chile
                [2 ]Science for Life Laboratory, Department of Ecology, Environment and Plant Sciences, Stockholm University, Box 1031, 171 21 Solna, Sweden
                [3 ]Center for Climate Change and Resilience Research (CR)2, Santiago, Chile
                [4 ]BILS/Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50003, SE-10405, Stockholm, Sweden
                [5 ]Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, CA 92037, United States of America
                [6 ]Integrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, United States of America
                [7 ]Informatics Group, J. Craig Venter Institute, San Diego, CA 92037, United States of America
                [8 ]Informatics Group, J. Craig Venter Institute, Rockville, MD 20850, United States of America
                [9 ]Center for Genomics and Bioinformatics, Indiana University, Bloomington, IN 47401, United States of America
                CSIR-National Institute of Oceanography, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: BD JAAN KI BB. Performed the experiments: BD JAAN. Analyzed the data: BD JAAN KI BB. Contributed reagents/materials/analysis tools: AA SY CLD DBR. Wrote the paper: BD JAAN KI CLD BB.

                Article
                PONE-D-15-30061
                10.1371/journal.pone.0155757
                4890579
                27196065
                17ef743c-6b14-479c-9e13-1baa20a3d16d
                © 2016 Díez et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 July 2015
                : 4 May 2016
                Page count
                Figures: 5, Tables: 0, Pages: 20
                Funding
                Funded by: The Swedish Foundation for International Cooperation in Research and Education
                Funded by: FONDECYT CONICYT, Chile
                Award ID: 1150171
                Funded by: FONDAP-CR2, CONICYT, Chile
                Award ID: 15110009
                Funded by: The Gordon and Betty Moore Foundation
                Award ID: DOE/ER63453-1
                Funded by: Department of Energy
                Funded by: JCVI
                Award Recipient :
                Funded by: Olle Engkvist Byggmästare Foundations
                Award Recipient :
                Financial support is acknowledged from the Baltic Sea 2020 and the Olle Engkvist Byggmästare Foundations, The Swedish Foundation for International Cooperation in Research and Education and the FONDECYT 1150171 and FONDAP-CR2 15110009 (CONICYT, Chile). The Gordon and Betty Moore Foundation funded the sequencing of all 0.1 μm samples, while the Department of Energy (DOE/ER63453-1) funded sequencing of the larger size fractions. Internal JCVI funds were used for sample collection. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth sciences
                Marine and aquatic sciences
                Bodies of water
                Oceans
                Indian Ocean
                Biology and Life Sciences
                Organisms
                Bacteria
                Cyanobacteria
                Synechococcus
                Biology and Life Sciences
                Ecology
                Marine Ecology
                Ecology and Environmental Sciences
                Ecology
                Marine Ecology
                Biology and Life Sciences
                Marine Biology
                Marine Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Oceans
                Biology and Life Sciences
                Ecology
                Coastal Ecology
                Ecology and Environmental Sciences
                Ecology
                Coastal Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Coastal Ecology
                Biology and Life Sciences
                Marine Biology
                Coastal Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Coastal Ecology
                Biology and Life Sciences
                Genetics
                Genomics
                Metagenomics
                Ecology and Environmental Sciences
                Habitats
                Biology and Life Sciences
                Organisms
                Bacteria
                Cyanobacteria
                Custom metadata
                All metagenomes are available at iMicrobe ( http://data.imicrobe.us/project/view/26) and at the European Nucleotide Archive (ENA) under project: PRJEB8968. The subset of peptides analyzed in this study can be found here https://scripps.ucsd.edu/labs/aallen/data/.

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