文献类型： 外文期刊

作者： Raza, Ali ¹ ; Salehi, Hajar ² ; Bashir, Shanza ³ ; Tabassum, Javaria ⁴ ; Jamla, Monica ⁵ ; Charagh, Sidra ⁶ ; Barmukh, Rutwik ⁷ ; Mir, Rakeeb Ahmad ⁸ ; Bhat, Basharat Ahmad ⁹ ; Javed, Muhammad Arshad ⁴ ; Guan, Dong-Xing ¹⁰ ; Mir, Reyazul Rouf ¹¹ ; Siddique, Kadambot H. M. ¹² ; Varshney, Rajeev K. ⁷ ;

作者机构： 1.Shenzhen Univ, Coll Life Sci & Oceanog, Guangdong Key Lab Plant Epigenet, Shenzhen 518060, Peoples R China

2.Univ Cattolica Sacro Cuore, Dept Sustainable Food Proc, Via Emilia Parmense 84, I-29122 Piacenza, Italy

3.Natl Univ Sci & Technol, Inst Environm Sci & Engn, Sch Civil & Environm Engn, Islamabad, Pakistan

4.Univ Punjab, Fac Agr Sci, Dept Plant Breeding & Genet, Lahore, Pakistan

5.Savitribai Phule Pune Univ, Modern Coll Arts Sci & Commerce, Dept Biotechnol, Pune 411016, India

6.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou, Peoples R China

7.Murdoch Univ, Food Futures Inst, WA State Agr Biotechnol Ctr, Ctr Crop & Food Innovat, Murdoch, WA 6150, Australia

8.Cent Univ Kashmir, Sch Life Sci, Dept Biotechnol, Ganderbal, India

9.Cluster Univ, Dept Bioresources, Amar Singh Coll Campus, Srinagar 190008, Jammu & Kashmir, India

10.Zhejiang Univ, Inst Soil & Water Resources & Environm Sci, Coll Environm & Resource Sci, Zhejiang Prov Key Lab Agr Resources & Environm, Hangzhou 310058, Peoples R China

11.Sher E Kashmir Univ Agr Sci & Technol SKUAST, Fac Agr, Div Genet & Plant Breeding, Srinagar 190025, Jammu & Kashmir, India

12.Univ Western Australia, UWA Inst Agr, Perth, WA, Australia

关键词： Artificial intelligence; Bioinformatic tools; Climate change; Defense responses; Environmental pollution; Metal toxicity; Omics approaches

期刊名称：PLANT CELL REPORTS （ 影响因子：6.2； 五年影响因子：5.9 ）

ISSN： 0721-7714

年卷期： 2024 年 43 卷 3 期

页码：

收录情况： SCI

摘要： The escalating challenges posed by metal(loid) toxicity in agricultural ecosystems, exacerbated by rapid climate change and anthropogenic pressures, demand urgent attention. Soil contamination is a critical issue because it significantly impacts crop productivity. The widespread threat of metal(loid) toxicity can jeopardize global food security due to contaminated food supplies and pose environmental risks, contributing to soil and water pollution and thus impacting the whole ecosystem. In this context, plants have evolved complex mechanisms to combat metal(loid) stress. Amid the array of innovative approaches, omics, notably transcriptomics, proteomics, and metabolomics, have emerged as transformative tools, shedding light on the genes, proteins, and key metabolites involved in metal(loid) stress responses and tolerance mechanisms. These identified candidates hold promise for developing high-yielding crops with desirable agronomic traits. Computational biology tools like bioinformatics, biological databases, and analytical pipelines support these omics approaches by harnessing diverse information and facilitating the mapping of genotype-to-phenotype relationships under stress conditions. This review explores: (1) the multifaceted strategies that plants use to adapt to metal(loid) toxicity in their environment; (2) the latest findings in metal(loid)-mediated transcriptomics, proteomics, and metabolomics studies across various plant species; (3) the integration of omics data with artificial intelligence and high-throughput phenotyping; (4) the latest bioinformatics databases, tools and pipelines for single and/or multi-omics data integration; (5) the latest insights into stress adaptations and tolerance mechanisms for future outlooks; and (6) the capacity of omics advances for creating sustainable and resilient crop plants that can thrive in metal(loid)-contaminated environments.