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Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots
Stalk rot caused by Fusarium verticillioides (Fv) is one of the most destructive diseases in maize production. The defence response of root system to Fv invasion is important for plant growth and development. Dissection of root cell type‐specific response to Fv infection and its underlying transcrip...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440994/ https://www.ncbi.nlm.nih.gov/pubmed/37349934 http://dx.doi.org/10.1111/pbi.14097 |
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author | Cao, Yanyong Ma, Juan Han, Shengbo Hou, Mengwei Wei, Xun Zhang, Xingrui Zhang, Zhanyuan J. Sun, Suli Ku, Lixia Tang, Jihua Dong, Zhenying Zhu, Zhendong Wang, Xiaoming Zhou, Xiaoxiao Zhang, Lili Li, Xiangdong Long, Yan Wan, Xiangyuan Duan, Canxing |
author_facet | Cao, Yanyong Ma, Juan Han, Shengbo Hou, Mengwei Wei, Xun Zhang, Xingrui Zhang, Zhanyuan J. Sun, Suli Ku, Lixia Tang, Jihua Dong, Zhenying Zhu, Zhendong Wang, Xiaoming Zhou, Xiaoxiao Zhang, Lili Li, Xiangdong Long, Yan Wan, Xiangyuan Duan, Canxing |
author_sort | Cao, Yanyong |
collection | PubMed |
description | Stalk rot caused by Fusarium verticillioides (Fv) is one of the most destructive diseases in maize production. The defence response of root system to Fv invasion is important for plant growth and development. Dissection of root cell type‐specific response to Fv infection and its underlying transcription regulatory networks will aid in understanding the defence mechanism of maize roots to Fv invasion. Here, we reported the transcriptomes of 29 217 single cells derived from root tips of two maize inbred lines inoculated with Fv and mock condition, and identified seven major cell types with 21 transcriptionally distinct cell clusters. Through the weighted gene co‐expression network analysis, we identified 12 Fv‐responsive regulatory modules from 4049 differentially expressed genes (DEGs) that were activated or repressed by Fv infection in these seven cell types. Using a machining‐learning approach, we constructed six cell type‐specific immune regulatory networks by integrating Fv‐induced DEGs from the cell type‐specific transcriptomes, 16 known maize disease‐resistant genes, five experimentally validated genes (ZmWOX5b, ZmPIN1a, ZmPAL6, ZmCCoAOMT2, and ZmCOMT), and 42 QTL or QTN predicted genes that are associated with Fv resistance. Taken together, this study provides not only a global view of maize cell fate determination during root development but also insights into the immune regulatory networks in major cell types of maize root tips at single‐cell resolution, thus laying the foundation for dissecting molecular mechanisms underlying disease resistance in maize. |
format | Online Article Text |
id | pubmed-10440994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104409942023-08-22 Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots Cao, Yanyong Ma, Juan Han, Shengbo Hou, Mengwei Wei, Xun Zhang, Xingrui Zhang, Zhanyuan J. Sun, Suli Ku, Lixia Tang, Jihua Dong, Zhenying Zhu, Zhendong Wang, Xiaoming Zhou, Xiaoxiao Zhang, Lili Li, Xiangdong Long, Yan Wan, Xiangyuan Duan, Canxing Plant Biotechnol J Research Articles Stalk rot caused by Fusarium verticillioides (Fv) is one of the most destructive diseases in maize production. The defence response of root system to Fv invasion is important for plant growth and development. Dissection of root cell type‐specific response to Fv infection and its underlying transcription regulatory networks will aid in understanding the defence mechanism of maize roots to Fv invasion. Here, we reported the transcriptomes of 29 217 single cells derived from root tips of two maize inbred lines inoculated with Fv and mock condition, and identified seven major cell types with 21 transcriptionally distinct cell clusters. Through the weighted gene co‐expression network analysis, we identified 12 Fv‐responsive regulatory modules from 4049 differentially expressed genes (DEGs) that were activated or repressed by Fv infection in these seven cell types. Using a machining‐learning approach, we constructed six cell type‐specific immune regulatory networks by integrating Fv‐induced DEGs from the cell type‐specific transcriptomes, 16 known maize disease‐resistant genes, five experimentally validated genes (ZmWOX5b, ZmPIN1a, ZmPAL6, ZmCCoAOMT2, and ZmCOMT), and 42 QTL or QTN predicted genes that are associated with Fv resistance. Taken together, this study provides not only a global view of maize cell fate determination during root development but also insights into the immune regulatory networks in major cell types of maize root tips at single‐cell resolution, thus laying the foundation for dissecting molecular mechanisms underlying disease resistance in maize. John Wiley and Sons Inc. 2023-06-22 2023-09 /pmc/articles/PMC10440994/ /pubmed/37349934 http://dx.doi.org/10.1111/pbi.14097 Text en © 2023 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Cao, Yanyong Ma, Juan Han, Shengbo Hou, Mengwei Wei, Xun Zhang, Xingrui Zhang, Zhanyuan J. Sun, Suli Ku, Lixia Tang, Jihua Dong, Zhenying Zhu, Zhendong Wang, Xiaoming Zhou, Xiaoxiao Zhang, Lili Li, Xiangdong Long, Yan Wan, Xiangyuan Duan, Canxing Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
title | Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
title_full | Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
title_fullStr | Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
title_full_unstemmed | Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
title_short | Single‐cell RNA sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
title_sort | single‐cell rna sequencing profiles reveal cell type‐specific transcriptional regulation networks conditioning fungal invasion in maize roots |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440994/ https://www.ncbi.nlm.nih.gov/pubmed/37349934 http://dx.doi.org/10.1111/pbi.14097 |
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