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High-throughput sequencing and analysis of the gill tissue transcriptome from the deep-sea hydrothermal vent mussel Bathymodiolus azoricus
Authors
A Fiala-Medioni
A Shcheglov
+33 more
A Tanguy
B Chevreux
Conceição Egas
D Desbruyères
DL Distel
E Kadar
E Kadar
E Meyer
I Boutet
JE Stajich
JJ Childress
JL Salerno
JP Rast
M Ashburner
Mafalda Afonso
Miguel Pinheiro
P Venier
PA Zhulidov
Paula Gomes
R Apweiler
R Bettencourt
R Bettencourt
R Bettencourt
R Stuart
Raul Bettencourt
Ricardo Serrão Santos
S Duperron
S Hunter
S Iwanaga
S Rozen
SF Altschul
Timothy Shank
YJ Won
Publication date
1 January 2010
Publisher
'Springer Science and Business Media LLC'
Doi
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on
PubMed
Abstract
© The Authors, 2010. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in BMC Genomics 11 (2010): 559, doi:10.1186/1471-2164-11-559.Bathymodiolus azoricus is a deep-sea hydrothermal vent mussel found in association with large faunal communities living in chemosynthetic environments at the bottom of the sea floor near the Azores Islands. Investigation of the exceptional physiological reactions that vent mussels have adopted in their habitat, including responses to environmental microbes, remains a difficult challenge for deep-sea biologists. In an attempt to reveal genes potentially involved in the deep-sea mussel innate immunity we carried out a high-throughput sequence analysis of freshly collected B. azoricus transcriptome using gills tissues as the primary source of immune transcripts given its strategic role in filtering the surrounding waterborne potentially infectious microorganisms. Additionally, a substantial EST data set was produced and from which a comprehensive collection of genes coding for putative proteins was organized in a dedicated database, "DeepSeaVent" the first deep-sea vent animal transcriptome database based on the 454 pyrosequencing technology. A normalized cDNA library from gills tissue was sequenced in a full 454 GS-FLX run, producing 778,996 sequencing reads. Assembly of the high quality reads resulted in 75,407 contigs of which 3,071 were singletons. A total of 39,425 transcripts were conceptually translated into amino-sequences of which 22,023 matched known proteins in the NCBI non-redundant protein database, 15,839 revealed conserved protein domains through InterPro functional classification and 9,584 were assigned with Gene Ontology terms. Queries conducted within the database enabled the identification of genes putatively involved in immune and inflammatory reactions which had not been previously evidenced in the vent mussel. Their physical counterpart was confirmed by semi-quantitative quantitative Reverse-Transcription-Polymerase Chain Reactions (RT-PCR) and their RNA transcription level by quantitative PCR (qPCR) experiments. We have established the first tissue transcriptional analysis of a deep-sea hydrothermal vent animal and generated a searchable catalog of genes that provides a direct method of identifying and retrieving vast numbers of novel coding sequences which can be applied in gene expression profiling experiments from a non-conventional model organism. This provides the most comprehensive sequence resource for identifying novel genes currently available for a deep-sea vent organism, in particular, genes putatively involved in immune and inflammatory reactions in vent mussels. The characterization of the B. azoricus transcriptome will facilitate research into biological processes underlying physiological adaptations to hydrothermal vent environments and will provide a basis for expanding our understanding of genes putatively involved in adaptations processes during post-capture long term acclimatization experiments, at "sea-level" conditions, using B. azoricus as a model organism.We acknowledge the Portuguese Foundation for Science and Technology, FCT-Lisbon and the Regional Azorean Directorate for Science and Technology, DRCT-Azores, for pluri-annual and programmatic PIDDAC and FEDER funding to IMAR/DOP Research Unit #531 and the Associated Laboratory #9 (ISR-Lisboa); the Luso-American Foundation FLAD (Project L-V- 173/2006); the Biotechnology and Biomedicine Institute of the Azores (IBBA), project M.2.1.2/I/029/2008-BIODEEPSEA and the project n° FCOMP-01-0124- FEDER-007376 (ref: FCT PTDC/MAR/65991/2006-IMUNOVENT; coordinated by RB) under the auspices of the COMPETE program
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