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      How do microbial communities deal with chronic hydrocarbon presence in oil seep soils? Data from historical hand‐dug oil wells

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          Abstract

          Hand‐dug oil wells, located in natural crude oil seep sites, are remnants of historical exploitation activities. Hydrocarbon pollution is regarded as the threat to soil ecosystem. On the other hand, there is no common environmental policies regarding these soils. The hypothesis was that natural attenuation processes might occur in seep soils since a diversified and stable bacterial community structure should be a result of its long‐term (thousands of years) adaptation to hydrocarbon exposure and should be associated with eventual utilization of these compounds. To obtained this goal, we compared the structure, composition, and hydrocarbon‐degrading potential of bacterial communities inhabiting soils with different hydrocarbon contents (seep, hydrocarbon‐impacted, pristine soils), which were collected in two habitats (forest, meadow). 16S rRNA sequencing and isolation of hydrocarbon degraders were performed. The contaminant's presence shaped distinct and unique community structure and composition, and it enhanced physiologically and functionally adapted microorganisms. The most abundant community members were bacteria revealing a strong contribution in genetic potential toward aerobic hydrocarbon transformation (i.e., Mycobacterium/Mycolicibacterium and Pseudomonas). The strong hydrocarbon degraders population suggests that natural biodegradation occurs in situ in seeps and mitigates the pollution impact on adjacent soils. Seep and hydrocarbon‐impacted soils are a great source for remedial bacterial populations. Twenty‐four genera of degraders were isolated; however, strains belonging to the Mycobacterium/Mycolicibacterium, Rhodococcus, and Pseudomonas taxa were common. Our results underline the need to include undervalued microbiological aspects in remediation projects' guidelines for chronically polluted environments. The knowledge regarding seep communities should help to evaluate more efficient remediation strategies for anthropogenic spills.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Contributors
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                Journal
                Land Degradation & Development
                Land Degrad Dev
                Wiley
                1085-3278
                1099-145X
                March 2023
                November 22 2022
                March 2023
                : 34
                : 5
                : 1283-1296
                Affiliations
                [1 ] Department of Microbiology Oil and Gas Institute – National Research Institute Kraków Poland
                [2 ] Biotechnology Centre Silesian University of Technology Gliwice Poland
                [3 ] Polish Geological Institute – National Research Institute Carpathian Branch Kraków Poland
                Article
                10.1002/ldr.4531
                405f627d-cc81-49e5-b961-39a33ffb2e8d
                © 2023

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