Cargando…

ALCOdb: Gene Coexpression Database for Microalgae

In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://a...

Descripción completa

Detalles Bibliográficos
Autores principales: Aoki, Yuichi, Okamura, Yasunobu, Ohta, Hiroyuki, Kinoshita, Kengo, Obayashi, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722175/
https://www.ncbi.nlm.nih.gov/pubmed/26644461
http://dx.doi.org/10.1093/pcp/pcv190
_version_ 1782411336704065536
author Aoki, Yuichi
Okamura, Yasunobu
Ohta, Hiroyuki
Kinoshita, Kengo
Obayashi, Takeshi
author_facet Aoki, Yuichi
Okamura, Yasunobu
Ohta, Hiroyuki
Kinoshita, Kengo
Obayashi, Takeshi
author_sort Aoki, Yuichi
collection PubMed
description In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems.
format Online
Article
Text
id pubmed-4722175
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-47221752016-01-22 ALCOdb: Gene Coexpression Database for Microalgae Aoki, Yuichi Okamura, Yasunobu Ohta, Hiroyuki Kinoshita, Kengo Obayashi, Takeshi Plant Cell Physiol Special Online Collection – Database Papers In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems. Oxford University Press 2016-01 2015-12-07 /pmc/articles/PMC4722175/ /pubmed/26644461 http://dx.doi.org/10.1093/pcp/pcv190 Text en © The Author 2015. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Online Collection – Database Papers
Aoki, Yuichi
Okamura, Yasunobu
Ohta, Hiroyuki
Kinoshita, Kengo
Obayashi, Takeshi
ALCOdb: Gene Coexpression Database for Microalgae
title ALCOdb: Gene Coexpression Database for Microalgae
title_full ALCOdb: Gene Coexpression Database for Microalgae
title_fullStr ALCOdb: Gene Coexpression Database for Microalgae
title_full_unstemmed ALCOdb: Gene Coexpression Database for Microalgae
title_short ALCOdb: Gene Coexpression Database for Microalgae
title_sort alcodb: gene coexpression database for microalgae
topic Special Online Collection – Database Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722175/
https://www.ncbi.nlm.nih.gov/pubmed/26644461
http://dx.doi.org/10.1093/pcp/pcv190
work_keys_str_mv AT aokiyuichi alcodbgenecoexpressiondatabaseformicroalgae
AT okamurayasunobu alcodbgenecoexpressiondatabaseformicroalgae
AT ohtahiroyuki alcodbgenecoexpressiondatabaseformicroalgae
AT kinoshitakengo alcodbgenecoexpressiondatabaseformicroalgae
AT obayashitakeshi alcodbgenecoexpressiondatabaseformicroalgae