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      Microbial community structure and functional potential of lava-formed Gotjawal soils in Jeju, Korea

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          Abstract

          The Gotjawal areas of Jeju Island, Korea, are comprised of unmanaged forests growing on volcanic soils. They support unique assemblages of vascular plants from both northern and southern hemispheres, but are threatened by human disturbance. The health and ecosystem function of these assemblages likely depends in part on the diversity and community structure of soil microbial communities, about which little is known. To assess the diversity of Gotjawal soil microbial communities, twenty samples were collected in November 2010 from 4 representatives of Gotjawal forests. While soil properties and microbial communities measured by 16S rRNA gene sequence data were marginally distinct among sites by PERMANOVA ( p = 0.017–0.191), GeoChip data showed significant differences among sites ( p <0.006). Gene composition overall, and the composition of 3 functional gene categories had similar structures themselves and similar associations with environmental factors. Among these communities, phosphorous cycling genes exhibited the most distinct patterns. 16S rRNA gene sequence data resulted in a mean 777 operational taxonomic units (OTUs), which included the following major phyla: Proteobacteria (27.9%), Actinobacteria (17.7%), Verrucomicrobia (14.3%), Acidobacteria (9.6%), Planctomycetes (9.8%), Bacteroidetes (8.9%), and Chloroflexi (2.2%). Indicator species analysis (ISA) was used to determine the taxa with high indicator value, which represented the following: uncultured Chlamydiaceae, Caulobacter, uncultured Sinobacteraceae, Paenibacillus, Arenimonas, Clostridium sensu.stricto, uncultured Burkholderiales incertae sedis, and Nocardioides in Aewol (AW), Aquicella, uncultured Planctomycetia, and Aciditerrimonas in Gujwa-Seongsan (GS), uncultured Acidobacteria Gp1, and Hamadaea in Hankyeong-Andeok (HA), and Bosea, Haliea, and Telmatocola in Jocheon-Hamdeok (JH) Gotjawal. Collectively, these results demonstrated the uniqueness of microbial communities within each Gotjawal region, likely reflecting different patterns of soil, plant assemblages and microclimates.

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          FLASH: fast length adjustment of short reads to improve genome assemblies.

          Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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            Relationships between protein-encoding gene abundance and corresponding process are commonly assumed yet rarely observed.

            For any enzyme-catalyzed reaction to occur, the corresponding protein-encoding genes and transcripts are necessary prerequisites. Thus, a positive relationship between the abundance of gene or transcripts and corresponding process rates is often assumed. To test this assumption, we conducted a meta-analysis of the relationships between gene and/or transcript abundances and corresponding process rates. We identified 415 studies that quantified the abundance of genes or transcripts for enzymes involved in carbon or nitrogen cycling. However, in only 59 of these manuscripts did the authors report both gene or transcript abundance and rates of the appropriate process. We found that within studies there was a significant but weak positive relationship between gene abundance and the corresponding process. Correlations were not strengthened by accounting for habitat type, differences among genes or reaction products versus reactants, suggesting that other ecological and methodological factors may affect the strength of this relationship. Our findings highlight the need for fundamental research on the factors that control transcription, translation and enzyme function in natural systems to better link genomic and transcriptomic data to ecosystem processes.
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              Comparison of permutation methods for the partial correlation and partial mantel tests

                Author and article information

                Contributors
                Role: Writing – original draftRole: Writing – review & editing
                Role: Resources
                Role: Investigation
                Role: Investigation
                Role: ValidationRole: Writing – review & editing
                Role: Data curationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 October 2018
                2018
                : 13
                : 10
                : e0204761
                Affiliations
                [1 ] Gyeongbuk Institute for Marine Bioindustry, Uljin, Republic of Korea
                [2 ] World Heritage and Mt. Hallasan Research Institute, Jeju Special Self-Governing Province, Republic of Korea
                [3 ] Korean Collection for Type Cultures, Korea Research Institute of Bioscience and Biotechnology, Jeongup, Republic of Korea
                [4 ] Biological Sciences, Louisiana State University, Baton Rouge, LA, United States of America
                [5 ] Department of Biology, Baylor University, Waco, TX, United States of America
                Free University of Bozen/Bolzano, ITALY
                Author notes

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

                Author information
                http://orcid.org/0000-0002-8181-1707
                Article
                PONE-D-18-13380
                10.1371/journal.pone.0204761
                6193574
                30312313
                2951ee6c-20f9-4d2a-beeb-a4bc8a226949
                © 2018 Kim 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
                : 3 May 2018
                : 13 September 2018
                Page count
                Figures: 4, Tables: 3, Pages: 15
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Ribosomal RNA
                Biology and life sciences
                Biochemistry
                Ribosomes
                Ribosomal RNA
                Biology and life sciences
                Cell biology
                Cellular structures and organelles
                Ribosomes
                Ribosomal RNA
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Cluster Analysis
                Hierarchical Clustering
                Biology and Life Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Terrestrial Environments
                Forests
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Sequence Assembly Tools
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Sequence Assembly Tools
                Biology and Life Sciences
                Ecology
                Nutrient Cycle
                Ecology and Environmental Sciences
                Ecology
                Nutrient Cycle
                Custom metadata
                The sequence data was deposited in the NCBI Sequence Read Archive (SRA) under the BioSample accession numbers SAMN06049757 to SAMN06049776. Tghe GeoChip microarray data used in this study is available in the OSF( http://doi.org/10.17605/OSF.IO/AT93H).

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