Journal Article10.1099/IJS.0.038075-0
Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species.
Ok-Sun Kim,Yong-Joon Cho,Kihyun Lee,Seok Hwan Yoon,Mincheol Kim,Hyunsoo Na,Sang-Cheol Park,Yoon-Seong Jeon,Jae-Hak Lee,Hana Yi,Sungho Won,Jongsik Chun +11 more
5.2K
TL;DR: It is concluded that the EzTaxon-e database provides a useful taxonomic backbone for the identification of cultured and uncultured prokaryotes and offers a valuable means of communication among microbiologists who routinely encounter taxonomically novel isolates.
read more
Abstract: Despite recent advances in commercially optimized identification systems, bacterial identification remains a challenging task in many routine microbiological laboratories, especially in situations where taxonomically novel isolates are involved. The 16S rRNA gene has been used extensively for this task when coupled with a well-curated database, such as EzTaxon, containing sequences of type strains of prokaryotic species with validly published names. Although the EzTaxon database has been widely used for routine identification of prokaryotic isolates, sequences from uncultured prokaryotes have not been considered. Here, the next generation database, named EzTaxon-e, is formally introduced. This new database covers not only species within the formal nomenclatural system but also phylotypes that may represent species in nature. In addition to an identification function based on Basic Local Alignment Search Tool (blast) searches and pairwise global sequence alignments, a new objective method of assessing the degree of completeness in sequencing is proposed. All sequences that are held in the EzTaxon-e database have been subjected to phylogenetic analysis and this has resulted in a complete hierarchical classification system. It is concluded that the EzTaxon-e database provides a useful taxonomic backbone for the identification of cultured and uncultured prokaryotes and offers a valuable means of communication among microbiologists who routinely encounter taxonomically novel isolates. The database and its analytical functions can be found at http://eztaxon-e.ezbiocloud.net/.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Culturable endophytic bacteria from the salt marsh plant Halimione portulacoides: phylogenetic diversity, functional characterization, and influence of metal(loid) contamination
TL;DR: The results suggest that the endosphere of H. portulacoides represents a diverse bacterial hotspot including putative novel species, and many isolates, particularly those affiliated to Altererythrobacter, Marinilactibacillus, Microbacterium, and Vibrio, tested positive for enzymatic activities and plant growth promoters, exposing H.portulacoide as a source of bacteria and compounds with biotechnological applications.
62
Enhancement of 1,3-propanediol production from industrial by-product by Lactobacillus reuteri CH53.
Jung-Hyun Ju,Jung-Hyun Ju,Dexin Wang,Sun-Yeon Heo,Min-Soo Kim,Jeong-Woo Seo,Young-Min Kim,Dae-Hyuk Kim,Soon-Ah Kang,Chul Ho Kim,Baek-Rock Oh +10 more
TL;DR: This strain has great promise for the production of 1,3-PDO because it is generally recognized as safe (GRAS) and non-pathogenic and also, this strain has high productivity and high conversion yield.
62
Rosenbergiella nectarea gen. nov., sp. nov., in the family Enterobacteriaceae, isolated from floral nectar.
TL;DR: On the basis of phenotypic properties and phylogenetic distinctiveness, the floral nectar isolates are classified within a novel species in a new genus in the family Enterobacteriaceae, for which the name Rosenbergiella nectarea gen. nov., sp.
61
Algicidal Activity of Novel Marine Bacterium Paracoccus sp. Strain Y42 against a Harmful Algal-Bloom-Causing Dinoflagellate, Prorocentrum donghaiense
Fuxing Zhang,Qian Ye,Qiuliang Chen,Ke Yang,Danyang Zhang,Zhangran Chen,Shasha Lu,Xueping Shao,Yongxiang Fan,Luming Yao,Lina Ke,Tianling Zheng,Hong Xu +12 more
TL;DR: The findings of this study reveal the potential of Y42 to remove algal cells from P. donghaiense after exposure to the Y42 supernatant, and the stability of the algicidal activity of Paracoccus in different environments (including different temperature, pH, and sunlight conditions) indicates its potential for use in the control of P.Donghaiense blooms.
61
Role of phosphate-solubilizing bacteria in improving the soil fertility and crop productivity in organic farming
Gurdeep Kaur,M. Sudhakara Reddy +1 more
TL;DR: It is suggested that P. cypripedii and P. plecoglossicida along with RP play an important role in improving crop productivity in organic farming.
61
References
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
Stephen F. Altschul,Thomas L. Madden,Alejandro A. Schäffer,Jinghui Zhang,Zheng Zhang,Webb Miller,David J. Lipman +6 more
TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
Naruya Saitou,Masatoshi Nei +1 more
TL;DR: The neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods for reconstructing phylogenetic trees from evolutionary distance data.
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
TL;DR: Version 4 of MEGA software expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses.
30.9K
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.
Evolutionary trees from DNA sequences: A maximum likelihood approach
TL;DR: A computationally feasible method for finding such maximum likelihood estimates is developed, and a computer program is available that allows the testing of hypotheses about the constancy of evolutionary rates by likelihood ratio tests.
14.5K