Bioinformatic analysis of abundant, gender-enriched transcripts of adult Ascaris suum (Nematoda) using a semi-automated workflow platform

Cantacessi, C., Zou, F.C., Hall, R.S., Zhong, W., Jex, A.R., Campbell, B.E., Ranganathan, S., Sternberg, P.W., Zhu, X.Q., and Gasser, R.B. (2009) Bioinformatic analysis of abundant, gender-enriched transcripts of adult Ascaris suum (Nematoda) using a semi-automated workflow platform. Molecular and Cellular Probes, 23 (5). pp. 205-217.

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Abstract

Expressed sequence tag (EST) data representing transcripts with a high level of differential hybridization in suppressive-subtractive hybridization (SSH)-based microarray analysis between adult female and male Ascaris suum were subjected to detailed bioinformatic analysis. A total of 361 ESTs clustered into 209 sequences, of which 52 and 157 represented transcripts that were enriched in female and male A. suum, respectively. Thirty (57.7%) of the 'female' subset of 52 sequences had orthologues/homologues in other parasitic nematodes and/or Caenorhabditis elegans, 13 (25%) exclusively in other parasitic nematodes and nine (17.3%) had no match in any other organism for which sequence data are currently available; the C. elegans orthologues encoded molecules involved in reproduction as well as embryonic and gamete development, such as vitellogenins and chitin-binding proteins. Of the 'male' subset of 157 sequences, 73 (46.5%) had orthologues/homologues in other parasitic nematodes and/or C. elegans, 57 (37.5%) in other parasitic nematodes only, and 22 (14.5%) had no significant similarity match in any other organism; the C. elegans orthologues encoded predominantly major sperm proteins (MSPs), kinases and phosphatases, actins, myosins and an Ancylostoma secreted protein-like molecule. The findings of the present study should support further genomic investigations of A. suum.

Item ID: 26532
Item Type: Article (Research - C1)
ISSN: 1096-1194
Keywords: Ascaris suum, gender-enriched, suppressive-subtractive hybridization, Caenorhabditis elegans, bioinformatics, gene ontology, genetic interactions
Funders: Australian Research Council (ARC), Australian Academy of Science, Australian–American Fulbright Commission
Date Deposited: 03 May 2013 06:03
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 30%
06 BIOLOGICAL SCIENCES > 0604 Genetics > 060408 Genomics @ 60%
08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080301 Bioinformatics Software @ 10%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 60%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 30%
97 EXPANDING KNOWLEDGE > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences @ 10%
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