scispace - formally typeset
Journal ArticleDOI

Proposal for a new class within the phylum Proteobacteria, Acidithiobacillia classis nov., with the type order Acidithiobacillales, and emended description of the class Gammaproteobacteria.

Reads0
Chats0
TLDR
The order Acidithiobacillales was previously assigned to the class Gammaproteobacteria, but it is now confirmed that this order actually lies outside all the proteobacterial classes, as a sister group to the combined classes BetaproteOBacteria and GammAProteob bacteria.
Abstract
The order Acidithiobacillales was previously assigned to the class Gammaproteobacteria. Recent analyses have indicated that this order actually lies outside all the proteobacterial classes, as a sister group to the combined classes Betaproteobacteria and Gammaproteobacteria. We now confirm this result with multiprotein phylogenetic analysis of all the available genomes of members of the order Acidithiobacillales and representatives of all available bacterial orders, and propose the new proteobacterial class, Acidithiobacillia, with the type order Acidithiobacillales, comprising the families Acidithiobacillaceae and Thermithiobacillaceae with the type genus Acidithiobacillus.

read more

Citations
More filters
Journal ArticleDOI

Microbial diversity and metabolic networks in acid mine drainage habitats.

TL;DR: A complete overview of the bacterial, archaeal, and eukaryotic diversity in these ecosystems are presented, and a thorough depiction of the metabolism and element cycling in AMD habitats is included.
Journal ArticleDOI

Microbial communities, processes and functions in acid mine drainage ecosystems

TL;DR: The diversity of microorganisms and their functions in AMD ecosystems are described, and their biotechnological applications in biomining and AMD bioremediation according to their capabilities are discussed.
Journal ArticleDOI

Sulfur Oxidation in the Acidophilic Autotrophic Acidithiobacillus spp.

TL;DR: The proposal of sulfur metabolic and regulatory models provide new insights and overall understanding of the sulfur-metabolic processes in Acidithiobacillus spp.
Journal ArticleDOI

Extreme environments: microbiology leading to specialized metabolites.

TL;DR: This review explores the premise that harsh environmental conditions in extreme biomes select for micro‐organisms, especially actinobacteria, cyanobacteria and fungi, with the potential to synthesize new druggable molecules, and provides an overview of microbial‐derived molecules and their biological activities.
References
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

TL;DR: UNLABELLED RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML) that has been used to compute ML trees on two of the largest alignments to date.
Journal ArticleDOI

MUSCLE: a multiple sequence alignment method with reduced time and space complexity

TL;DR: MUSCLE offers a range of options that provide improved speed and / or alignment accuracy compared with currently available programs, and a new option, MUSCLE-fast, designed for high-throughput applications.
Journal ArticleDOI

A Rapid Bootstrap Algorithm for the RAxML Web Servers

TL;DR: This work developed, implemented, and thoroughly tested rapid bootstrap heuristics in RAxML (Randomized Axelerated Maximum Likelihood) that are more than an order of magnitude faster than current algorithms and can contribute to resolving the computational bottleneck and improve current methodology in phylogenetic analyses.
Journal ArticleDOI

OrthoMCL: identification of ortholog groups for eukaryotic genomes.

TL;DR: OrthoMCL provides a scalable method for constructing orthologous groups across multiple eukaryotic taxa, using a Markov Cluster algorithm to group (putative) orthologs and paralogs.
Related Papers (5)

The minimum information about a genome sequence (MIGS) specification.

Dawn Field, +71 more
- 01 May 2008 -