Literature DB >> 31501868

Diurnal.plant.tools: Comparative Transcriptomic and Co-expression Analyses of Diurnal Gene Expression of the Archaeplastida Kingdom.

Jonathan Wei Xiong Ng1, Qiao Wen Tan1, Camilla Ferrari2, Marek Mutwil1.   

Abstract

Almost all organisms coordinate some aspects of their biology through the diurnal cycle. Photosynthetic organisms, and plants especially, have established complex programs that coordinate physiological, metabolic and developmental processes with the changing light. The diurnal regulation of the underlying transcriptional processes is observed when groups of functionally related genes (gene modules) are expressed at a specific time of the day. However, studying the diurnal regulation of these gene modules in the plant kingdom was hampered by the large amount of data required for the analyses. To meet this need, we used gene expression data from 17 diurnal studies spanning the whole Archaeplastida kingdom (Plantae kingdom in the broad sense) to make an online diurnal database. We have equipped the database with tools that allow user-friendly cross-species comparisons of gene expression profiles, entire co-expression networks, co-expressed clusters (involved in specific biological processes), time-specific gene expression and others. We exemplify how these tools can be used by studying three important biological questions: (i) the evolution of cell division, (ii) the diurnal control of gene modules in algae and (iii) the conservation of diurnally controlled modules across species. The database is freely available at http://diurnal.plant.tools. � The Author(s) 2019. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Algae; Circadian; Co-expression; Diurnal; Plants

Mesh:

Substances:

Year:  2020        PMID: 31501868     DOI: 10.1093/pcp/pcz176

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  3 in total

1.  LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data.

Authors:  Benedict Hew; Qiao Wen Tan; William Goh; Jonathan Wei Xiong Ng; Marek Mutwil
Journal:  BMC Biol       Date:  2020-09-03       Impact factor: 7.431

2.  Chlamydomonas proteases: classification, phylogeny, and molecular mechanisms.

Authors:  Yong Zou; Peter V Bozhkov
Journal:  J Exp Bot       Date:  2021-12-04       Impact factor: 6.992

3.  Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana.

Authors:  Jonathan Wei Xiong Ng; Swee Kwang Chua; Marek Mutwil
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

  3 in total

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