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Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications
Cyanide (CN(−)) pollution in agricultural systems can affect crop production. However, no data are available to describe the full picture of the responsive metabolic mechanisms of genes with known functions related to exogenous KCN exposure. In this study, we examined the transcriptome in rice seedl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694641/ https://www.ncbi.nlm.nih.gov/pubmed/36362856 http://dx.doi.org/10.3390/life12111701 |
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author | Li, Cheng-Zhi Lin, Yu-Juan Yu, Xiao-Zhang |
author_facet | Li, Cheng-Zhi Lin, Yu-Juan Yu, Xiao-Zhang |
author_sort | Li, Cheng-Zhi |
collection | PubMed |
description | Cyanide (CN(−)) pollution in agricultural systems can affect crop production. However, no data are available to describe the full picture of the responsive metabolic mechanisms of genes with known functions related to exogenous KCN exposure. In this study, we examined the transcriptome in rice seedlings exposed to potassium cyanide (KCN) using an Agilent 4×44K rice microarray to clarify the relationship between the differentially expressed genes (DEGs) and their function classifications. The number of DEGs (up-regulated genes/down-regulated genes) was 322/626 and 640/948 in the shoots and roots of CN(−)-treated rice seedlings, respectively. Functional predication demonstrated that a total of 534 and 837 DEGs in shoots and roots were assigned to 22 COG categories. Four common categories listed on the top five COG classifications were detected in both rice tissues: signal transduction mechanisms, carbohydrate transport and metabolism, post-translational modification, protein turnover and chaperones, and transcription. A comparison of DEGs aligned to the same COG classification demonstrated that the majority of up-regulated/down-regulated DEGs in rice tissues were significantly different, suggesting that responsive and regulatory mechanisms are tissue specific in CN(−)-treated rice seedlings. Additionally, fifteen DEGs were aligned to three different COG categories, implying their possible multiple functions in response to KCN stress. The results presented here provide insights into the novel responsive and regulatory mechanisms of KCN-responsive genes, and will serve as useful resources for further functional dissections of the physiological significance of specific genes activated in the exogenous KCN stress response in rice plants. |
format | Online Article Text |
id | pubmed-9694641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96946412022-11-26 Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications Li, Cheng-Zhi Lin, Yu-Juan Yu, Xiao-Zhang Life (Basel) Article Cyanide (CN(−)) pollution in agricultural systems can affect crop production. However, no data are available to describe the full picture of the responsive metabolic mechanisms of genes with known functions related to exogenous KCN exposure. In this study, we examined the transcriptome in rice seedlings exposed to potassium cyanide (KCN) using an Agilent 4×44K rice microarray to clarify the relationship between the differentially expressed genes (DEGs) and their function classifications. The number of DEGs (up-regulated genes/down-regulated genes) was 322/626 and 640/948 in the shoots and roots of CN(−)-treated rice seedlings, respectively. Functional predication demonstrated that a total of 534 and 837 DEGs in shoots and roots were assigned to 22 COG categories. Four common categories listed on the top five COG classifications were detected in both rice tissues: signal transduction mechanisms, carbohydrate transport and metabolism, post-translational modification, protein turnover and chaperones, and transcription. A comparison of DEGs aligned to the same COG classification demonstrated that the majority of up-regulated/down-regulated DEGs in rice tissues were significantly different, suggesting that responsive and regulatory mechanisms are tissue specific in CN(−)-treated rice seedlings. Additionally, fifteen DEGs were aligned to three different COG categories, implying their possible multiple functions in response to KCN stress. The results presented here provide insights into the novel responsive and regulatory mechanisms of KCN-responsive genes, and will serve as useful resources for further functional dissections of the physiological significance of specific genes activated in the exogenous KCN stress response in rice plants. MDPI 2022-10-26 /pmc/articles/PMC9694641/ /pubmed/36362856 http://dx.doi.org/10.3390/life12111701 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Cheng-Zhi Lin, Yu-Juan Yu, Xiao-Zhang Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications |
title | Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications |
title_full | Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications |
title_fullStr | Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications |
title_full_unstemmed | Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications |
title_short | Transcriptome Analysis of Cyanide-Treated Rice Seedlings: Insights into Gene Functional Classifications |
title_sort | transcriptome analysis of cyanide-treated rice seedlings: insights into gene functional classifications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694641/ https://www.ncbi.nlm.nih.gov/pubmed/36362856 http://dx.doi.org/10.3390/life12111701 |
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