Plant Sciences in Multi-Omics Era

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetics, Genomics and Biotechnology".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 1907

Special Issue Editor


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Guest Editor
College of Life Sciences, Nanjing Agricultural University, Nanjing 210095, China
Interests: plant physiology; molecular science; plant omics; biochemistry; plant bioinformatics; medicinal plant secondary metabolism

Special Issue Information

Dear Colleagues,

Various high-throughput omics tools, such as genomics, transcriptomics, proteomics, and metabolomics, have accelerated the gene discovery process and facilitated subsequent improvements in breeding activities. 
The multidisciplinary approaches integrating these technologies provide a holistic view for comprehensively and systematically deciphering the mechanisms of plant response to biotic and abiotic stresses, plant growth, and development. 

This Special Issue provides a platform for discussion on this topic, and the papers in this collection are intended to highlight and further stimulate research on integrating multiple omics tools to get a better impression of rare genes and molecular signals that are associated with complex agronomic traits, such as plant and stress interactions.

Quantitative omics analyses (e.g., transcriptomics, proteomics, metabolomics) must be performed on a minimum number of three biological replicates in order to permit an assessment of significance. Studies that do not comply will not be considered for review.

Prof. Dr. Mingpu Tan
Guest Editor

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Keywords

  • functional genomics
  • transcriptomics
  • proteomics
  • metabolomics
  • conjoint multi-omics

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Published Papers (1 paper)

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Research

18 pages, 8732 KiB  
Article
Exploring Information Exchange between Thesium chinense and Its Host Prunella vulgaris through Joint Transcriptomic and Metabolomic Analysis
by Anping Ding, Ruifeng Wang, Juan Liu, Wenna Meng, Yu Zhang, Guihong Chen, Gang Hu, Mingpu Tan and Zengxu Xiang
Plants 2024, 13(6), 804; https://doi.org/10.3390/plants13060804 - 12 Mar 2024
Cited by 1 | Viewed by 1471
Abstract
Background: Thesium chinense known as the “plant antibiotic” is a facultative root hemi-parasitic herb while Prunella vulgaris can serve as its host. However, the molecular mechanisms underlying the communication between T. chinense and its host remained largely unexplored. The aim of this study [...] Read more.
Background: Thesium chinense known as the “plant antibiotic” is a facultative root hemi-parasitic herb while Prunella vulgaris can serve as its host. However, the molecular mechanisms underlying the communication between T. chinense and its host remained largely unexplored. The aim of this study was to provide a comprehensive view of transferred metabolites and mobile mRNAs exchanged between T. chinense and P. vulgaris. Results: The wide-target metabolomic and transcriptomic analysis identified 5 transferred metabolites (ethylsalicylate, eriodictyol-7-O-glucoside, aromadendrin-7-O-glucoside, pruvuloside B, 2-ethylpyrazine) and 50 mobile genes between T. chinense and P. vulgaris, as well as haustoria formation related 56 metabolites and 44 genes. There were 4 metabolites (ethylsalicylate, eriodictyol-7-O-glucoside, aromadendrin-7-O-glucoside and pruvuloside B) that are transferred from P. vulgaris to T. chinense, whereas 2-ethylpyrazine was transferred in the opposite direction. Furthermore, we inferred a regulatory network potentially involved in haustoria formation, where three metabolites (N,N′-Dimethylarginine/SDMA, NG,NG-Dimethyl-L-arginine, 2-Acetoxymethyl-anthraquinone) showed significant positive correlations with the majority of haustoria formation-related genes. Conclusions: These results suggested that there was an extensive exchange of information with P. vulgaris including transferred metabolites and mobile mRNAs, which might facilitate the haustoria formation and parasition of T. chinense. Full article
(This article belongs to the Special Issue Plant Sciences in Multi-Omics Era)
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