Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato
Abstract Background The ability of severed rootstocks and shoots to re-establish vascular connections is used to generate grafted plants that combine desirable traits from both scions and rootstocks. Clarifying the mechanisms of graft healing is essential for its further application. We performed RN...
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Format: | Article |
Language: | English |
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BMC
2019-08-01
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Series: | BMC Plant Biology |
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Online Access: | http://link.springer.com/article/10.1186/s12870-019-1976-7 |
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author | Lulu Xie Chunjuan Dong Qingmao Shang |
author_facet | Lulu Xie Chunjuan Dong Qingmao Shang |
author_sort | Lulu Xie |
collection | DOAJ |
description | Abstract Background The ability of severed rootstocks and shoots to re-establish vascular connections is used to generate grafted plants that combine desirable traits from both scions and rootstocks. Clarifying the mechanisms of graft healing is essential for its further application. We performed RNA sequencing of internodes near the cut position, making a distinction between separated or grafted tissues above and below the cut, in order to obtain a genetic description of graft union formation. Results Using weighted gene co-expression analysis, variable transcripts were clustered into 10 distinct co-expression networks (modules) based on expression profiles, and genes with the most “hubness” (“hub” genes show the most connections in a network) within each module were predicted. A large proportion of modules were related to Position, and represent asymmetric expression networks from different pathways. Expression of genes involved in auxin and sugar transport and signaling, and brassinosteroid biosynthesis was increased above the cut, while stress response genes were up-regulated below the cut. Some modules were related to graft union formation, among which oxidative detoxification genes were co-expressed along with both wounding response and cell wall organization genes. Conclusions The present work provides a comprehensive understanding of graft healing-related gene networks in tomato. Also, the candidate pathways and hub genes identified here will be valuable for future studies of grafting in tomato. |
first_indexed | 2024-12-18T15:08:15Z |
format | Article |
id | doaj.art-d149437683484f1384e4e1731e65a37a |
institution | Directory Open Access Journal |
issn | 1471-2229 |
language | English |
last_indexed | 2024-12-18T15:08:15Z |
publishDate | 2019-08-01 |
publisher | BMC |
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series | BMC Plant Biology |
spelling | doaj.art-d149437683484f1384e4e1731e65a37a2022-12-21T21:03:44ZengBMCBMC Plant Biology1471-22292019-08-0119111210.1186/s12870-019-1976-7Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomatoLulu Xie0Chunjuan Dong1Qingmao Shang2Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Horticultural Crops of Ministry of Agriculture, Institute of Vegetables and Flowers, Chinese Academy of Agricultural SciencesAbstract Background The ability of severed rootstocks and shoots to re-establish vascular connections is used to generate grafted plants that combine desirable traits from both scions and rootstocks. Clarifying the mechanisms of graft healing is essential for its further application. We performed RNA sequencing of internodes near the cut position, making a distinction between separated or grafted tissues above and below the cut, in order to obtain a genetic description of graft union formation. Results Using weighted gene co-expression analysis, variable transcripts were clustered into 10 distinct co-expression networks (modules) based on expression profiles, and genes with the most “hubness” (“hub” genes show the most connections in a network) within each module were predicted. A large proportion of modules were related to Position, and represent asymmetric expression networks from different pathways. Expression of genes involved in auxin and sugar transport and signaling, and brassinosteroid biosynthesis was increased above the cut, while stress response genes were up-regulated below the cut. Some modules were related to graft union formation, among which oxidative detoxification genes were co-expressed along with both wounding response and cell wall organization genes. Conclusions The present work provides a comprehensive understanding of graft healing-related gene networks in tomato. Also, the candidate pathways and hub genes identified here will be valuable for future studies of grafting in tomato.http://link.springer.com/article/10.1186/s12870-019-1976-7Vegetable graftinggraft healingtomatoRNA-seq transcriptomeweighted gene co-expression network analysisco-expression profiles |
spellingShingle | Lulu Xie Chunjuan Dong Qingmao Shang Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato BMC Plant Biology Vegetable grafting graft healing tomato RNA-seq transcriptome weighted gene co-expression network analysis co-expression profiles |
title | Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato |
title_full | Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato |
title_fullStr | Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato |
title_full_unstemmed | Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato |
title_short | Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato |
title_sort | gene co expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato |
topic | Vegetable grafting graft healing tomato RNA-seq transcriptome weighted gene co-expression network analysis co-expression profiles |
url | http://link.springer.com/article/10.1186/s12870-019-1976-7 |
work_keys_str_mv | AT luluxie genecoexpressionnetworkanalysisrevealspathwaysassociatedwithgrafthealingbyasymmetricprofilingintomato AT chunjuandong genecoexpressionnetworkanalysisrevealspathwaysassociatedwithgrafthealingbyasymmetricprofilingintomato AT qingmaoshang genecoexpressionnetworkanalysisrevealspathwaysassociatedwithgrafthealingbyasymmetricprofilingintomato |