Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus
Amorphophallus species are one of the main economic crops in the mountainous areas of southwest China. However, soft rot disease (Pectobacterium carotovorum ssp. carotovorum) is devastating for this crop. This study explored the Amorphophallus resistance mechanism against soft rot disease by analyzi...
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| Format: | Article |
| Language: | English |
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American Society for Horticultural Science (ASHS)
2022-12-01
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| Series: | Journal of the American Society for Horticultural Science |
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| Online Access: | https://journals.ashs.org/jashs/view/journals/jashs/147/6/article-p322.xml |
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| author | Penghua Gao Huanyu Wei Jiani Liu Zebin Chen Ying Qi Zhixing Wu Feiyan Huang Lei Yu |
| author_facet | Penghua Gao Huanyu Wei Jiani Liu Zebin Chen Ying Qi Zhixing Wu Feiyan Huang Lei Yu |
| author_sort | Penghua Gao |
| collection | DOAJ |
| description | Amorphophallus species are one of the main economic crops in the mountainous areas of southwest China. However, soft rot disease (Pectobacterium carotovorum ssp. carotovorum) is devastating for this crop. This study explored the Amorphophallus resistance mechanism against soft rot disease by analyzing transcriptome data using a weighted gene coexpression network analysis. The RNA sequencing of plants infected for 0, 12, 24, and 48 hours produced a total of 52.25 Gb of clean reads. A total of 29,096 genes were divided into 34 modules. Six modules of interest with the highest correlation with the target traits were selected to elucidate the resistance genes and pathways. The selected modules were enriched in the α-linolenic acid metabolism, phenylpropane biosynthesis, plant hormone signal transduction, and plant pathogen interaction pathways. Ultimately, AmBGLU, AmCAML, AmCDPK, AmLOX, and AmRBOHD were identified as genes of interest in the four significantly related metabolic pathways for real-time fluorescence quantitative polymerase chain reaction verification. The determination of salicylic acid (SA) and jasmonic acid (JA) in Amorphophallus muelleri and Amorphophallus konjac that suffered from soft rot disease showed that SA and JA were involved in the A. muelleri and A. konjac defense response against soft rot disease. Methyl jasmonate treatment delayed the onset of A. konjac soft rot disease. This study provides a reference for the interaction between Amorphophallus species and soft rot disease and the breeding of broad-spectrum and specific Amorphophallus cultivars that are resistant to soft rot disease. |
| first_indexed | 2024-04-11T05:58:54Z |
| format | Article |
| id | doaj.art-af949897d79547d292c5676dc8c73a9a |
| institution | Directory Open Access Journal |
| issn | 2327-9788 |
| language | English |
| last_indexed | 2024-04-11T05:58:54Z |
| publishDate | 2022-12-01 |
| publisher | American Society for Horticultural Science (ASHS) |
| record_format | Article |
| series | Journal of the American Society for Horticultural Science |
| spelling | doaj.art-af949897d79547d292c5676dc8c73a9a2022-12-22T04:41:49ZengAmerican Society for Horticultural Science (ASHS)Journal of the American Society for Horticultural Science2327-97882022-12-011476https://doi.org/10.21273/JASHS05251-22Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of AmorphophallusPenghua GaoHuanyu WeiJiani LiuZebin Chen Ying Qi Zhixing WuFeiyan HuangLei YuAmorphophallus species are one of the main economic crops in the mountainous areas of southwest China. However, soft rot disease (Pectobacterium carotovorum ssp. carotovorum) is devastating for this crop. This study explored the Amorphophallus resistance mechanism against soft rot disease by analyzing transcriptome data using a weighted gene coexpression network analysis. The RNA sequencing of plants infected for 0, 12, 24, and 48 hours produced a total of 52.25 Gb of clean reads. A total of 29,096 genes were divided into 34 modules. Six modules of interest with the highest correlation with the target traits were selected to elucidate the resistance genes and pathways. The selected modules were enriched in the α-linolenic acid metabolism, phenylpropane biosynthesis, plant hormone signal transduction, and plant pathogen interaction pathways. Ultimately, AmBGLU, AmCAML, AmCDPK, AmLOX, and AmRBOHD were identified as genes of interest in the four significantly related metabolic pathways for real-time fluorescence quantitative polymerase chain reaction verification. The determination of salicylic acid (SA) and jasmonic acid (JA) in Amorphophallus muelleri and Amorphophallus konjac that suffered from soft rot disease showed that SA and JA were involved in the A. muelleri and A. konjac defense response against soft rot disease. Methyl jasmonate treatment delayed the onset of A. konjac soft rot disease. This study provides a reference for the interaction between Amorphophallus species and soft rot disease and the breeding of broad-spectrum and specific Amorphophallus cultivars that are resistant to soft rot disease.https://journals.ashs.org/jashs/view/journals/jashs/147/6/article-p322.xmlalpha-linolenic acid metabolismamorphophallus konjacamorphophallus muellerijasmonic acidkonjacplant endogenous hormones |
| spellingShingle | Penghua Gao Huanyu Wei Jiani Liu Zebin Chen Ying Qi Zhixing Wu Feiyan Huang Lei Yu Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus Journal of the American Society for Horticultural Science alpha-linolenic acid metabolism amorphophallus konjac amorphophallus muelleri jasmonic acid konjac plant endogenous hormones |
| title | Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus |
| title_full | Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus |
| title_fullStr | Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus |
| title_full_unstemmed | Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus |
| title_short | Weighted Gene Coexpression Network Analysis of Candidate Pathways and Genes in Soft Rot Resistance of Amorphophallus |
| title_sort | weighted gene coexpression network analysis of candidate pathways and genes in soft rot resistance of amorphophallus |
| topic | alpha-linolenic acid metabolism amorphophallus konjac amorphophallus muelleri jasmonic acid konjac plant endogenous hormones |
| url | https://journals.ashs.org/jashs/view/journals/jashs/147/6/article-p322.xml |
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