RAMI: a tool for identification and characterization of phylogenetic clusters in microbial communities

نویسندگان

  • Thomas Pommier
  • Björn Canbäck
  • Per Lundberg
  • Åke Hagström
  • Anders Tunlid
چکیده

MOTIVATION The most common approach to estimate microbial diversity is based on the analysis of DNA sequences of specific target genes including ribosomal genes. Commonly, the sequences are grouped into operational taxonomic units based on genetic distance (sequence similarity) instead of genetic change (patristic distance). This method may fail to adequately identify clusters of evolutionary related sequences and it provides no information on the phylogenetic structure of the community. An ease-of-use web application for this purpose has been missing. RESULTS We have developed RAMI, which clusters related nodes in a phylogenetic tree based on the patristic distance. RAMI also produces indices of cluster properties and other indices used in population and community studies on-the-fly. AVAILABILITY RAMI is licensed under GNU GPL and can be run or downloaded from http://www.acgt.se/online.html. SUPPLEMENTARY INFORMATION http://www.acgt.se/RAMI/SuppInfo.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The in Silico Characterization of a Salicylic Acid Analogue Coding Gene Clusters in Selected Pseudomonas Fluorescens Strains

Background: The microbial genome sequences provide solid in silico framework for interpretation their drug-like chemical scaffolds biosynthetic potential. The Pseudomonas fluorescens species is metabolically versatile and producing therapeutically important natural products.Objectives: The main objective of the present study was to mine the publically available data of P. fluorescens stra...

متن کامل

PCR-based detection of Theileria infection and molecular characterization of Tams1 T. annulata vaccine strain

In order to develop a method for detecting and identification of Theileria annulata, the specific primers from the major merozoite-piroplasm surface antigen sequence of Theileria (Tams1) were used to detect the T. annulata by nested-PCR technique. The assay provides a valuable tool for the identification of Theileria annulata directly from clinical samples and enables determination of the infec...

متن کامل

Identification and characterization of a NBS–LRR class resistance gene analog in Pistacia atlantica subsp. Kurdica

P. atlantica subsp. Kurdica, with the local name of Baneh, is a wild medicinal plant which grows in Kurdistan, Iran.  The identification of resistance gene analogs holds great promise for the development of resistant cultivars. A PCR approach with degenerate primers designed according to conserved NBS-LRR (nucleotide binding site-leucine rich repeat) regions of known disease-resistance (R) gene...

متن کامل

Characterization of native ethanol producing Zymomonas spp. isolated from natural environments in Iran

Ethanol is renewable and safe fuel and it is mainly produced based on microbial fermentation. The present study aims to isolate and identify ethanol producing Zymomonas spp. from natural environments with characterization, optimization and evaluation of their ethanol productivity. Samples were screened for ethanol producing bacteria on RM medium. Ethanol producing isolates were selected for cha...

متن کامل

Identification and characterization of pigmented photoreceptor-producing microorganisms using FTIR spectroscopy

The identification, differentiation and classification of microorganisms have been subjects of research for many years. Recently, Fourier transform infrared (FTIR) spectroscopy techniques have gained attention in the characterization and classification of microorganisms based on biochemical profiles and cell structure characteristics. In the present study, the characterization and differentiati...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Bioinformatics

دوره 25  شماره 

صفحات  -

تاریخ انتشار 2009