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Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing

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TLDR
It was shown that the most abundant species dominating the community also contributed the majority of the transcripts, and a high transcriptional activity of archaeal species was indicated.
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This article is published in Journal of Biotechnology.The article was published on 2012-04-30. It has received 208 citations till now. The article focuses on the topics: Metagenomics & Ribosomal DNA.

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The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome

TL;DR: The BIOM file format and the biom-format project are steps toward reducing the “bioinformatics bottleneck” that is currently being experienced in diverse areas of biological sciences, and will help us move toward the next phase of comparative omics where basic science is translated into clinical and environmental applications.
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Linking microbial community structure, interactions and function in anaerobic digesters using new molecular techniques.

TL;DR: The use of these approaches in combination with complementary imaging techniques, chemical isotope analyses and detailed reactor performance measurements provides a new opportunity to develop a fundamental understanding of how microbial community dynamics, interactions and functionality influence digester efficiency and stability.
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Metagenomic analysis and functional characterization of the biogas microbiome using high throughput shotgun sequencing and a novel binning strategy

TL;DR: This study dissects the bioma involved in anaerobic digestion by means of high throughput Illumina sequencing, disclosing nearly one million genes and extracting 106 microbial genomes by a novel strategy combining two binning processes, establishing a reference catalog of biogas microbial genomes that will greatly simplify future genomic studies.
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Biogas production through syntrophic acetate oxidation and deliberate operating strategies for improved digester performance

TL;DR: This review summarises current insight of syntrophic acetate oxidising microorganisms, their presence and the detection of novel species and relate these observations with operating conditions of the biogas processes in order to explore contributing factors for development of an ammonia-tolerant microbial community that efficiently degrades acetate through the syntrophic pathway.
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iTRAQ quantitative proteomic analysis reveals the pathways for methanation of propionate facilitated by magnetite.

TL;DR: Both direct interspecies electron transfer and interspecies H2 transfer were present during methanation of propionate facilitated by magnetite, and most of the up-regulated proteins in methane metabolism were originated from neither Methanosaeta nor Methanosarcina, indicating they were not involved in direct inter species electron transfer.
References
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Journal ArticleDOI

Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
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MUSCLE: multiple sequence alignment with high accuracy and high throughput

TL;DR: MUSCLE is a new computer program for creating multiple alignments of protein sequences that includes fast distance estimation using kmer counting, progressive alignment using a new profile function the authors call the log-expectation score, and refinement using tree-dependent restricted partitioning.
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KEGG: Kyoto Encyclopedia of Genes and Genomes

TL;DR: The Kyoto Encyclopedia of Genes and Genomes (KEGG) as discussed by the authors is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules.
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Search and clustering orders of magnitude faster than BLAST

Robert C. Edgar
- 01 Oct 2010 - 
TL;DR: UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters and offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.
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