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Dataset . 2022
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Collation and orthology-based identification of hormone-related genes in bread wheat

Authors: Jones, Maximillian R. W.; Long, Katie; Phillips, Andy; Uauy, Cristobal;

Collation and orthology-based identification of hormone-related genes in bread wheat

Abstract

Plant hormones coordinate a plethora of developmental processes in plants, including responses to abiotic and biotic stressors. Here, we collate the findings of previous studies identifying bread wheat (Triticum aestivum) genes related to hormonal processes (biosynthesis, transport, signalling, and catabolism) and collect wheat orthologues from hundreds of additional hormone-related genes utilising the Ensembl Plants Compara database. We have initially conducted this procedure for abscisic acid, auxins (IAA and IBA), brassinosteroids, cytokinins, ethylene, gibberellins, and strigolactone, yielding a total of over 1,700 putative wheat orthologues. We aim to provide a community resource to aid gene annotation and subsequent analyses. We warmly welcome feedback from the community. Please refer to the file README.pdf for further details, including methods and references.

This research was funded by the UK Biotechnology and Biological Sciences Research Council (BBSRC) through the Designing Future Wheat (BB/P016855/1) Institute Strategic Programme and the European Research Council (ERC-2019-COG-866328).

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Keywords

cytokinin, ABA, brassinosteroid, wheat, ethylene, aestivum, strigolactone, plant hormone, auxin, gibberellin, Triticum

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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