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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
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.
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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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