Cargando…

Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize

BACKGROUND: The fungus Aspergillus flavus (A. flavus) is a serious threat to maize (Zea mays) production worldwide. It causes considerable yield and economic losses, and poses a health risk to humans and livestock due to the high toxicity of aflatoxin. However, key genes and regulatory networks conf...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Huanhuan, Wu, Haofeng, Wang, Yan, Wang, Huan, Chen, Saihua, Yin, Zhitong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117602/
https://www.ncbi.nlm.nih.gov/pubmed/33985439
http://dx.doi.org/10.1186/s12870-021-02983-x
_version_ 1783691614769643520
author Liu, Huanhuan
Wu, Haofeng
Wang, Yan
Wang, Huan
Chen, Saihua
Yin, Zhitong
author_facet Liu, Huanhuan
Wu, Haofeng
Wang, Yan
Wang, Huan
Chen, Saihua
Yin, Zhitong
author_sort Liu, Huanhuan
collection PubMed
description BACKGROUND: The fungus Aspergillus flavus (A. flavus) is a serious threat to maize (Zea mays) production worldwide. It causes considerable yield and economic losses, and poses a health risk to humans and livestock due to the high toxicity of aflatoxin. However, key genes and regulatory networks conferring maize resistance to A. flavus are not clear, especially at the early stage of infection. Here, we performed a comprehensive transcriptome analysis of two maize inbred lines with contrasting resistance to A. flavus infection. RESULTS: The pairwise comparisons between mock and infected kernels in each line during the first 6 h post inoculation (hpi) showed that maize resistance to A. flavus infection was specific to the genotype and infection stage, and defense pathways were strengthened in the resistant line. Further comparison of the two maize lines revealed that the infection-induced up-regulated differentially expressed genes (DEGs) in the resistant line might underlie the enhanced resistance. Gene co-expression network analysis by WGCNA (weighted gene co-expression network analysis) identified 7 modules that were significantly associated with different infection stages, and 110 hub genes of these modules. These key regulators mainly participate in the biosynthesis of fatty acid and antibiotics. In addition, 90 candidate genes for maize resistance to A. flavus infection and/or aflatoxin contamination obtained in previous studies were confirmed to be differentially expressed between the resistant and susceptible lines within the first 6 hpi. CONCLUSION: This work unveiled more A. flavus resistance genes and provided a detailed regulatory network of early-stage resistance to A. flavus in maize. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02983-x.
format Online
Article
Text
id pubmed-8117602
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-81176022021-05-13 Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize Liu, Huanhuan Wu, Haofeng Wang, Yan Wang, Huan Chen, Saihua Yin, Zhitong BMC Plant Biol Research BACKGROUND: The fungus Aspergillus flavus (A. flavus) is a serious threat to maize (Zea mays) production worldwide. It causes considerable yield and economic losses, and poses a health risk to humans and livestock due to the high toxicity of aflatoxin. However, key genes and regulatory networks conferring maize resistance to A. flavus are not clear, especially at the early stage of infection. Here, we performed a comprehensive transcriptome analysis of two maize inbred lines with contrasting resistance to A. flavus infection. RESULTS: The pairwise comparisons between mock and infected kernels in each line during the first 6 h post inoculation (hpi) showed that maize resistance to A. flavus infection was specific to the genotype and infection stage, and defense pathways were strengthened in the resistant line. Further comparison of the two maize lines revealed that the infection-induced up-regulated differentially expressed genes (DEGs) in the resistant line might underlie the enhanced resistance. Gene co-expression network analysis by WGCNA (weighted gene co-expression network analysis) identified 7 modules that were significantly associated with different infection stages, and 110 hub genes of these modules. These key regulators mainly participate in the biosynthesis of fatty acid and antibiotics. In addition, 90 candidate genes for maize resistance to A. flavus infection and/or aflatoxin contamination obtained in previous studies were confirmed to be differentially expressed between the resistant and susceptible lines within the first 6 hpi. CONCLUSION: This work unveiled more A. flavus resistance genes and provided a detailed regulatory network of early-stage resistance to A. flavus in maize. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02983-x. BioMed Central 2021-05-13 /pmc/articles/PMC8117602/ /pubmed/33985439 http://dx.doi.org/10.1186/s12870-021-02983-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Huanhuan
Wu, Haofeng
Wang, Yan
Wang, Huan
Chen, Saihua
Yin, Zhitong
Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
title Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
title_full Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
title_fullStr Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
title_full_unstemmed Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
title_short Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
title_sort comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to aspergillus flavus in maize
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117602/
https://www.ncbi.nlm.nih.gov/pubmed/33985439
http://dx.doi.org/10.1186/s12870-021-02983-x
work_keys_str_mv AT liuhuanhuan comparativetranscriptomeprofilingandcoexpressionnetworkanalysisuncoverthekeygenesassociatedwithearlystageresistancetoaspergillusflavusinmaize
AT wuhaofeng comparativetranscriptomeprofilingandcoexpressionnetworkanalysisuncoverthekeygenesassociatedwithearlystageresistancetoaspergillusflavusinmaize
AT wangyan comparativetranscriptomeprofilingandcoexpressionnetworkanalysisuncoverthekeygenesassociatedwithearlystageresistancetoaspergillusflavusinmaize
AT wanghuan comparativetranscriptomeprofilingandcoexpressionnetworkanalysisuncoverthekeygenesassociatedwithearlystageresistancetoaspergillusflavusinmaize
AT chensaihua comparativetranscriptomeprofilingandcoexpressionnetworkanalysisuncoverthekeygenesassociatedwithearlystageresistancetoaspergillusflavusinmaize
AT yinzhitong comparativetranscriptomeprofilingandcoexpressionnetworkanalysisuncoverthekeygenesassociatedwithearlystageresistancetoaspergillusflavusinmaize