Literature DB >> 20507432

Bioinformatic analysis of expressed sequence tags derived from a compatible Alternaria brassicicola-Brassica oleracea interaction.

Robert A Cramer1, C Mauricio LA Rota, Yangrae Cho, Michael Thon, Kelly D Craven, Dennis L Knudson, Thomas K Mitchell, Christopher B Lawrence.   

Abstract

SUMMARY Alternaria brassicicola is a necrotrophic fungal pathogen that causes black spot disease on members of the Brassicaceae plant family. In order to identify candidate fungal pathogenicity genes and characterize a compatible host response, a suppression subtractive hybridization (SSH) cDNA library enriched for A. brassicicola and Brassica oleracea genes expressed during the interaction was created, along with a fungal cDNA library representing genes expressed during nitrogen starvation (NS). A total of 3749 and 2352 expressed sequence tags (ESTs) were assembled into 2834 and 1264 unisequence sets for the SSH and NS libraries, respectively. We compared two methods to identify the origins (plant vs. fungal) of ESTs in the SSH library using different classification procedures, with and without the availability of a database representing the A. brassicicola whole genome sequence and Brassicaceae-specific genes. BLASTX analyses of the 2834 unisequence set using the GenBank non-redundant database identified 114 fungal genes. Further BLASTN analyses of the genes with unidentifiable origin using a database consisting of the 1264 fungal unisequence set from the nitrogen-starved library identified 94 additional fungal genes. By contrast, BLASTN analyses of the same SSH unisequence set using a partially assembled A. brassicicola whole genome draft sequence identified a total of 310 unisequenes of fungal origin. Our results indicated that even a small number of organism-specific EST sequences can be very helpful to identify pathogen genes in a library derived from infected tissue, partially overcoming the limitation of the public databases for little studied organisms. However, using the whole genome draft sequence of A. brassicicola we were able to identify approximately 30% more fungal genes in the SSH library than without utilizing this resource. The putative role of specific fungal and plant genes identified in this study in a compatible interaction is discussed.

Entities:  

Year:  2006        PMID: 20507432     DOI: 10.1111/j.1364-3703.2006.00324.x

Source DB:  PubMed          Journal:  Mol Plant Pathol        ISSN: 1364-3703            Impact factor:   5.663


  6 in total

1.  Plant defense mechanisms are activated during biotrophic and necrotrophic development of Colletotricum graminicola in maize.

Authors:  Walter A Vargas; José M Sanz Martín; Gabriel E Rech; Lina P Rivera; Ernesto P Benito; José M Díaz-Mínguez; Michael R Thon; Serenella A Sukno
Journal:  Plant Physiol       Date:  2012-01-12       Impact factor: 8.340

Review 2.  How the necrotrophic fungus Alternaria brassicicola kills plant cells remains an enigma.

Authors:  Yangrae Cho
Journal:  Eukaryot Cell       Date:  2015-02-13

3.  Arabidopsis cell death in compatible and incompatible interactions with Alternaria brassicicola.

Authors:  Mukhamad Su'udi; Min Gab Kim; Sang-Ryeol Park; Duk-Ju Hwang; Shin-Chul Bae; Il-Pyung Ahn
Journal:  Mol Cells       Date:  2011-06-10       Impact factor: 5.034

4.  A compatible interaction of Alternaria brassicicola with Arabidopsis thaliana ecotype DiG: evidence for a specific transcriptional signature.

Authors:  Arup K Mukherjee; Sophie Lev; Shimon Gepstein; Benjamin A Horwitz
Journal:  BMC Plant Biol       Date:  2009-03-18       Impact factor: 4.215

5.  Transcription factor Amr1 induces melanin biosynthesis and suppresses virulence in Alternaria brassicicola.

Authors:  Yangrae Cho; Akhil Srivastava; Robin A Ohm; Christopher B Lawrence; Koon-Hui Wang; Igor V Grigoriev; Sharadchandra P Marahatta
Journal:  PLoS Pathog       Date:  2012-10-25       Impact factor: 6.823

6.  Complexity of Brassica oleracea-Alternaria brassicicola Susceptible Interaction Reveals Downregulation of Photosynthesis at Ultrastructural, Transcriptional, and Physiological Levels.

Authors:  Violetta Katarzyna Macioszek; Magdalena Gapińska; Agnieszka Zmienko; Mirosław Sobczak; Andrzej Skoczowski; Jakub Oliwa; Andrzej Kiejstut Kononowicz
Journal:  Cells       Date:  2020-10-20       Impact factor: 6.600

  6 in total

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