Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf

Introduction<p>As global temperatures rise, understanding the potential effects on agriculture and food security is critical. Plant heat stress responses are finely controlled at transcriptional and post-transcriptional levels, with RNA secondary structure now recognized as an important regula...

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Κύριος συγγραφέας: Mason W. Eisenhauer (22687085) (author)
Άλλοι συγγραφείς: Abdelraouf O. Dapour (22687088) (author), Warren B. Rouse (12153010) (author), Walter N. Moss (159608) (author)
Έκδοση: 2025
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author Mason W. Eisenhauer (22687085)
author2 Abdelraouf O. Dapour (22687088)
Warren B. Rouse (12153010)
Walter N. Moss (159608)
author2_role author
author
author
author_facet Mason W. Eisenhauer (22687085)
Abdelraouf O. Dapour (22687088)
Warren B. Rouse (12153010)
Walter N. Moss (159608)
author_role author
dc.creator.none.fl_str_mv Mason W. Eisenhauer (22687085)
Abdelraouf O. Dapour (22687088)
Warren B. Rouse (12153010)
Walter N. Moss (159608)
dc.date.none.fl_str_mv 2025-11-26T06:27:07Z
dc.identifier.none.fl_str_mv 10.3389/fpls.2025.1688991.s001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Data_Sheet_2_Transcriptome-wide_prediction_of_heat-sensitive_RNA_structures_in_Zea_mays_pdf/30718358
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Plant Biology
heat stress
heat shock factors
covariation
ScanFold
RNA structure
Zea mays
dc.title.none.fl_str_mv Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description Introduction<p>As global temperatures rise, understanding the potential effects on agriculture and food security is critical. Plant heat stress responses are finely controlled at transcriptional and post-transcriptional levels, with RNA secondary structure now recognized as an important regulator in this process.</p>Methods<p>To characterize and identify structure-function relationships in Zea mays, we applied the computational approach ScanFold to construct a transcriptome-wide database of RNA secondary structures and associated metrics. This database was analyzed at temperatures ranging from moderate 28°C to extreme 42°C. We performed an in-depth analysis of two heat shock factors, ZmHsf04 and ZmHsf17, as a case study for analyzing thermotolerance in maize.</p>Results<p>Using the database, we identified evolutionarily conserved RNA structures across the transcriptome that are sensitive to temperature-induced conformational switching. Our analysis of ZmHsf04 and ZmHsf17 yielded two key findings: many predicted structures are supported by significant sequence covariation, indicating evolutionary selection and likely functionality; and several structures of interest also exhibited extreme changes in conformation upon temperature increases.</p>Discussion<p>These identified structures in ZmHsf04 and ZmHsf17 may regulate gene expression through dynamic changes influencing processes like mRNA maturation, localization, expression, or alternative splicing, providing a rubric for understanding and approaching future studies of the transcriptome-wide dataset. The dataset and methodology presented here provide a rapid and robust approach to facilitate research into plant abiotic stress response, offering a crucial first step in understanding the role of RNA structure in Z. mays heat response.</p>
eu_rights_str_mv openAccess
id Manara_146740b8219b5fb4e39983a80b4e66ce
identifier_str_mv 10.3389/fpls.2025.1688991.s001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30718358
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdfMason W. Eisenhauer (22687085)Abdelraouf O. Dapour (22687088)Warren B. Rouse (12153010)Walter N. Moss (159608)Plant Biologyheat stressheat shock factorscovariationScanFoldRNA structureZea maysIntroduction<p>As global temperatures rise, understanding the potential effects on agriculture and food security is critical. Plant heat stress responses are finely controlled at transcriptional and post-transcriptional levels, with RNA secondary structure now recognized as an important regulator in this process.</p>Methods<p>To characterize and identify structure-function relationships in Zea mays, we applied the computational approach ScanFold to construct a transcriptome-wide database of RNA secondary structures and associated metrics. This database was analyzed at temperatures ranging from moderate 28°C to extreme 42°C. We performed an in-depth analysis of two heat shock factors, ZmHsf04 and ZmHsf17, as a case study for analyzing thermotolerance in maize.</p>Results<p>Using the database, we identified evolutionarily conserved RNA structures across the transcriptome that are sensitive to temperature-induced conformational switching. Our analysis of ZmHsf04 and ZmHsf17 yielded two key findings: many predicted structures are supported by significant sequence covariation, indicating evolutionary selection and likely functionality; and several structures of interest also exhibited extreme changes in conformation upon temperature increases.</p>Discussion<p>These identified structures in ZmHsf04 and ZmHsf17 may regulate gene expression through dynamic changes influencing processes like mRNA maturation, localization, expression, or alternative splicing, providing a rubric for understanding and approaching future studies of the transcriptome-wide dataset. The dataset and methodology presented here provide a rapid and robust approach to facilitate research into plant abiotic stress response, offering a crucial first step in understanding the role of RNA structure in Z. mays heat response.</p>2025-11-26T06:27:07ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fpls.2025.1688991.s001https://figshare.com/articles/dataset/Data_Sheet_2_Transcriptome-wide_prediction_of_heat-sensitive_RNA_structures_in_Zea_mays_pdf/30718358CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307183582025-11-26T06:27:07Z
spellingShingle Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
Mason W. Eisenhauer (22687085)
Plant Biology
heat stress
heat shock factors
covariation
ScanFold
RNA structure
Zea mays
status_str publishedVersion
title Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
title_full Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
title_fullStr Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
title_full_unstemmed Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
title_short Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
title_sort Data Sheet 2_Transcriptome-wide prediction of heat-sensitive RNA structures in Zea mays.pdf
topic Plant Biology
heat stress
heat shock factors
covariation
ScanFold
RNA structure
Zea mays