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том 12 издание 1 номер публикации 585

Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis

Тип публикацииJournal Article
Дата публикации2011-11-29
SCImago Q1
WOS Q2
БС1
SJR0.985
CiteScore5.9
Impact factor3.7
ISSN14712164
Genetics
Biotechnology
Краткое описание
Motivated by the precarious state of the world's coral reefs, there is currently a keen interest in coral transcriptomics. By identifying changes in coral gene expression that are triggered by particular environmental stressors, we can begin to characterize coral stress responses at the molecular level, which should lead to the development of more powerful diagnostic tools for evaluating the health of corals in the field. Furthermore, the identification of genetic variants that are more or less resilient in the face of particular stressors will help us to develop more reliable prognoses for particular coral populations. Toward this end, we performed deep mRNA sequencing of the cauliflower coral, Pocillopora damicornis, a geographically widespread Indo-Pacific species that exhibits a great diversity of colony forms and is able to thrive in habitats subject to a wide range of human impacts. Importantly, P. damicornis is particularly amenable to laboratory culture. We collected specimens from three geographically isolated Hawaiian populations subjected to qualitatively different levels of human impact. We isolated RNA from colony fragments ("nubbins") exposed to four environmental stressors (heat, desiccation, peroxide, and hypo-saline conditions) or control conditions. The RNA was pooled and sequenced using the 454 platform. Both the raw reads (n = 1, 116, 551) and the assembled contigs (n = 70, 786; mean length = 836 nucleotides) were deposited in a new publicly available relational database called PocilloporaBase http://www.PocilloporaBase.org . Using BLASTX, 47.2% of the contigs were found to match a sequence in the NCBI database at an E-value threshold of ≤.001; 93.6% of those contigs with matches in the NCBI database appear to be of metazoan origin and 2.3% bacterial origin, while most of the remaining 4.1% match to other eukaryotes, including algae and amoebae. P. damicornis now joins the handful of coral species for which extensive transcriptomic data are publicly available. Through PocilloporaBase http://www.PocilloporaBase.org , one can obtain assembled contigs and raw reads and query the data according to a wide assortment of attributes including taxonomic origin, PFAM motif, KEGG pathway, and GO annotation.
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Traylor-Knowles N. et al. Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis // BMC Genomics. 2011. Vol. 12. No. 1. 585
ГОСТ со всеми авторами (до 50) Скопировать
Traylor-Knowles N., Granger B. R., Lubinski T. J., Parikh J. R., Garamszegi S., Xia Yu., Marto J. A., Kaufman L., Finnerty J. R. Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis // BMC Genomics. 2011. Vol. 12. No. 1. 585
RIS |
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TY - JOUR
DO - 10.1186/1471-2164-12-585
UR - https://doi.org/10.1186/1471-2164-12-585
TI - Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis
T2 - BMC Genomics
AU - Traylor-Knowles, Nikki
AU - Granger, Brian R
AU - Lubinski, Tristan J
AU - Parikh, Jignesh R
AU - Garamszegi, Sara
AU - Xia, Yu
AU - Marto, Jarrod A.
AU - Kaufman, Les
AU - Finnerty, John R
PY - 2011
DA - 2011/11/29
PB - Springer Nature
IS - 1
VL - 12
PMID - 22126435
SN - 1471-2164
ER -
BibTex
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BibTex (до 50 авторов) Скопировать
@article{2011_Traylor-Knowles,
author = {Nikki Traylor-Knowles and Brian R Granger and Tristan J Lubinski and Jignesh R Parikh and Sara Garamszegi and Yu Xia and Jarrod A. Marto and Les Kaufman and John R Finnerty},
title = {Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis},
journal = {BMC Genomics},
year = {2011},
volume = {12},
publisher = {Springer Nature},
month = {nov},
url = {https://doi.org/10.1186/1471-2164-12-585},
number = {1},
pages = {585},
doi = {10.1186/1471-2164-12-585}
}
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