Literature DB >> 12842480

Distinguishing plant and fungal sequences in ESTs from infected plant tissues.

Tom Hsiang1, Paul H Goodwin.   

Abstract

Expressed sequence tags (ESTs) from fungal-infected plant tissues are composed of a mixture of plant and fungal sequences. Using freely available software and tools, a novel procedure is described for distinguishing plant and fungal DNA sequences. Although the GenBank non-redundant (NR) database is larger and therefore one would presume that BLASTX analysis of it would be more accurate, superior resolution of 700 randomly selected fungal ESTs was found with Standalone TBLASTX analyses with a local matching database composed of a plant and a fungal genome. Standalone TBLASTX analyses of 3,983 ESTs from nine different fungal-infected plant EST libraries also proved to be superior in identifying the origin of sequences as either plant or fungal compared to GenBank BLASTX analysis. Standalone TBLASTX with a matching database comprised of a single plant and a single fungal genome appears to be a faster and more accurate method than BLASTX searches of the GenBank non-redundant database to distinguish fungal and plant sequences in mixed EST collections.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12842480     DOI: 10.1016/s0167-7012(03)00067-8

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  3 in total

1.  Eclair--a web service for unravelling species origin of sequences sampled from mixed host interfaces.

Authors:  Stephen Rudd; Igor V Tetko
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

2.  Rapid transcriptome characterization and parsing of sequences in a non-model host-pathogen interaction; pea-Sclerotinia sclerotiorum.

Authors:  Xiaofeng Zhuang; Kevin E McPhee; Tristan E Coram; Tobin L Peever; Martin I Chilvers
Journal:  BMC Genomics       Date:  2012-11-26       Impact factor: 3.969

3.  MELOGEN: an EST database for melon functional genomics.

Authors:  Daniel Gonzalez-Ibeas; José Blanca; Cristina Roig; Mireia González-To; Belén Picó; Verónica Truniger; Pedro Gómez; Wim Deleu; Ana Caño-Delgado; Pere Arús; Fernando Nuez; Jordi Garcia-Mas; Pere Puigdomènech; Miguel A Aranda
Journal:  BMC Genomics       Date:  2007-09-03       Impact factor: 3.969

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.