4.7 Article

Gene co-expression network analysis reveals pathways associated with graft healing by asymmetric profiling in tomato

Journal

BMC PLANT BIOLOGY
Volume 19, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12870-019-1976-7

Keywords

Vegetable grafting; graft healing; tomato; RNA-seq transcriptome; weighted gene co-expression network analysis; co-expression profiles

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Funding

  1. Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences
  2. China Agriculture Research Systems [CARS-25-C-13]
  3. special fund for agro-scientific research in the public interest of China [201303014]
  4. special fund for agricultural research outstanding talents and innovation team, Ministry of agriculture, P. R. China

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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.

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