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      Differences in geological conditions have reshaped the structure and diversity of microbial communities in oily soils

      , , , ,
      Environmental Pollution
      Elsevier BV

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          Abstract

          <p class="first" id="d2683841e109">High-throughput sequencing was used to study the microbial community structure diversity changes in oil-contaminated soils under different spatial distances and environmental conditions. 239 Phyla, 508 Classes, 810 Orders, 1417 Families, 2048 Genera, 511 Species of microbial communities were obtained from 16 samples in three regions. The physicochemical properties of the soil, microorganisms' community structure has been changed by Petroleum hydrocarbon (PHA). Alpha diversity results showed that the soil contained high bacterial diversity, especially in Qingyang's loess soil. The bacterial abundance was in the order of loess soil &gt; black soil &gt; sandy soil. Beta diversity revealed that spatial distance limitation and random variation of repeated samples may be the main factors leading to soil heterogeneity and microbial community structure differences. The dominant bacteria phyla with broad petroleum hydrocarbon degradation ability such as Proteobacteria, Firmicutes, Bacteroidetes and Actinobacteria were identified. Pseudomonas, Bacillus, Nocardioides, Oceanobacillus, Sphingomonas, Alkanindiges and Streptomyces were identified as functional microbial for the PHA degradation. The microbial communities manifested the co-exclusion under different geological conditions, and played the key role in the soil PHA degradation through amino acid metabolism, energy metabolism and carbohydrate metabolism. The correlation results of amos structural equation showed that the diversity and abundance of soil microorganisms in different regions were controlled by soil PHA content and environmental factors. Altitude, annual average temperature and annual rainfall were positively correlated with microbial diversity. Annual rainfall and soil physical and chemical factors exhibited the most significant influence on it. Microbial diversity indirectly affected the PHA content in different type soil. We believe that reshape the structure and diversity of microbial communities in soil could be changed and reshaped by different geological conditions, pollutants and soil type. This study can provide helps for understanding the ecological effect of geomicrobiology formation under the driving force of geographic environment and other factors. </p>

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          Most cited references77

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            QIIME allows analysis of high-throughput community sequencing data.

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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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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Environmental Pollution
                Environmental Pollution
                Elsevier BV
                02697491
                August 2022
                August 2022
                : 306
                : 119404
                Article
                10.1016/j.envpol.2022.119404
                35523380
                49893a3c-008b-42a2-a9e0-c03d94b7badf
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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