volume 6 issue 1 pages 116-132

Plant metabolomics: applications and challenges in the era of multi-omics big data

Publication typeJournal Article
Publication date2025-01-23
scimago Q1
wos Q1
SJR1.257
CiteScore8.2
Impact factor5.0
ISSN26621738, 20966326
Abstract

Plant metabolites are crucial for the growth, development, environmental adaptation, and nutritional quality of plants. Plant metabolomics, a key branch of systems biology, involves the comprehensive analysis and interpretation of the composition, variation, and functions of these metabolites. Advances in technology have transformed plant metabolomics into a sophisticated process involving sample collection, metabolite extraction, high-throughput analysis, data processing, and multidimensional statistical analysis. In today’s era of big data, the field is witnessing an explosion in data acquisition, offering insight into the complexity and dynamics of plant metabolism. Moreover, multiple omics strategies can be integrated to reveal interactions and regulatory networks across different molecular levels, deepening our understanding of plant biological processes. In this review, we highlight recent advances and challenges in plant metabolomics, emphasizing the roles for this technique in improving crop varieties, enhancing nutritional value, and increasing stress resistance. We also explore the scientific foundations of plant metabolomics and its applications in medicine, and ecological conservation.

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GOST |
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GOST Copy
Hao Y. et al. Plant metabolomics: applications and challenges in the era of multi-omics big data // aBIOTECH. 2025. Vol. 6. No. 1. pp. 116-132.
GOST all authors (up to 50) Copy
Hao Y., ZHANG Z., Luo E., Yang J., Wang S. Plant metabolomics: applications and challenges in the era of multi-omics big data // aBIOTECH. 2025. Vol. 6. No. 1. pp. 116-132.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1007/s42994-024-00194-0
UR - https://link.springer.com/10.1007/s42994-024-00194-0
TI - Plant metabolomics: applications and challenges in the era of multi-omics big data
T2 - aBIOTECH
AU - Hao, Yingchen
AU - ZHANG, ZHONGHUI
AU - Luo, Enxi
AU - Yang, Jun
AU - Wang, Shouchuang
PY - 2025
DA - 2025/01/23
PB - Springer Nature
SP - 116-132
IS - 1
VL - 6
SN - 2662-1738
SN - 2096-6326
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Hao,
author = {Yingchen Hao and ZHONGHUI ZHANG and Enxi Luo and Jun Yang and Shouchuang Wang},
title = {Plant metabolomics: applications and challenges in the era of multi-omics big data},
journal = {aBIOTECH},
year = {2025},
volume = {6},
publisher = {Springer Nature},
month = {jan},
url = {https://link.springer.com/10.1007/s42994-024-00194-0},
number = {1},
pages = {116--132},
doi = {10.1007/s42994-024-00194-0}
}
MLA
Cite this
MLA Copy
Hao, Yingchen, et al. “Plant metabolomics: applications and challenges in the era of multi-omics big data.” aBIOTECH, vol. 6, no. 1, Jan. 2025, pp. 116-132. https://link.springer.com/10.1007/s42994-024-00194-0.
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