Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat

Background Phenotypic studies in Triticeae have shown that low temperature-induced protective mechanisms are developmentally regulated and involve dynamic acclimation processes. Understanding these mechanisms is important for breeding cold-resistant wheat cultivars. In this study, we combined three computational techniques for the analysis of gene expression data from spring and winter wheat cultivars subjected to low temperature treatments. Our main objective was to construct a comprehensive network of cold response transcriptional events in wheat, and to identify novel cold tolerance candidate genes in wheat. Results We assigned novel cold stress-related roles to 35 wheat genes, uncovered novel transcription (TF)-gene interactions, and identified 127 genes representing known and novel candidate targets associated with cold tolerance in wheat. Our results also show that delays in terms of activation or repression of the same genes across wheat cultivars play key roles in phenotypic differences among winter and spring wheat cultivars, and adaptation to low temperature stress, cold shock and cold acclimation. Conclusions Using three computational approaches, we identified novel putative cold-response genes and TF-gene interactions. These results provide new insights into the complex mechanisms regulating the expression of cold-responsive genes in wheat. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1596-x) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12859-017-1596-x
PID pmid:28302069
PID pmc:PMC5356398
URL https://link.springer.com/article/10.1186/s12859-017-1596-x
URL https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1596-x
URL https://0-bmcbioinformatics-biomedcentral-com.brum.beds.ac.uk/articles/10.1186/s12859-017-1596-x
URL http://link.springer.com/content/pdf/10.1186/s12859-017-1596-x.pdf
URL https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi18.html#TchagangFTP17
URL http://europepmc.org/articles/PMC5356398
URL https://www.ncbi.nlm.nih.gov/pubmed/28302069
URL http://dx.doi.org/10.1186/s12859-017-1596-x
URL https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1596-x
URL https://core.ac.uk/display/80986395
URL https://dx.doi.org/10.1186/s12859-017-1596-x
URL https://academic.microsoft.com/#/detail/2595675726
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Access Right Open Access
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Author Youlian Pan, 0000-0002-0158-0081
Author Dan Tulpan, 0000-0003-1100-646X
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Collected From Europe PubMed Central; PubMed Central; ORCID; Datacite; UnpayWall; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By Europe PubMed Central; SpringerOpen; BMC Bioinformatics
Journal BMC Bioinformatics, 18, 1
Publication Date 2017-03-16
Publisher Springer Nature
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Language English
Resource Type Other literature type; Article; UNKNOWN
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::0ac4eccaea3f92c6090c967e312d4c17
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Last Updated 25 December 2020, 15:57 (CET)
Created 25 December 2020, 15:57 (CET)