Evidence map›Paper›PMID 40414885›Full record

ArticleBMC plant biology2025

Nano-selenium mitigates arsenate toxicity in soybean roots by modulating phenylalanine and salicylic acid pathways.

Muhammad Zeeshan, Aamir Hamid Khan, Abdul Salam, Yuxin Hu, Anas Iqbal, Ruiquan Hou, Abdul Wakeel Umar, Feibo Wu, Xiaoyuan Chen, Zhixiang Zhang

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In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Muhammad Zeeshan *State Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou, China.
Aamir Hamid Khan *Department of Biogeography, Paleoecology and Nature Conservation, Faculty of Biology and Environmental Protection, University of Łódź, Banacha 1/3, Łódź, 90-237, Poland. aamir.hamid.khan@biol.uni.lodz.pl.
Abdul SalamState Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou, China.
Yuxin HuCollege of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Anas IqbalGuangzhou Key Laboratory for Science and Technology of Fragrant Rice, Guangzhou, 510642, China.
Ruiquan HouState Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou, China.
Abdul Wakeel UmarBNU-HKUST Laboratory of Green Innovation, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai (BNUZ), Zhuhai City, 519087, People's Republic of China.
Feibo WuDepartment of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou, 310058, China.
Xiaoyuan ChenYingdong College of Biology and Agriculture, Shaoguan University, Shaoguan, China.
Zhixiang ZhangState Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou, China. zdsys@scau.edu.cn.

Funding

Guangdong Province Key Research and Development Plan No. 2023B0202080001Narodowa Agencja Wymiany Akademickiej BPN/ULM/2022/1/00147/U/00001National Key Research and Development Program No. 2023YFD1701103
6 · The paper itself

Abstract

backgroundSoybean (Glycine max L. Merrill), a vital source of edible oil and protein, ranks seventh in global agricultural production, yet its productivity is significantly hindered by potential toxic metal/liods (PTM) stress. Arsenic (As), a highly toxic soil contaminant, poses substantial risks to both plants and humans, even at trace concentrations, particularly in China.

resultsThis research endeavor delves into the combined effect of arsenate (AsV), a common form of As in soil, and nano-selenium (nSe), on the transcriptional regulation of key genes and the modulation of signaling and metabolic cascades in young soybean seedlings. Our findings indicate that nSe mitigates AsV toxicity by modulating hormonal signaling cascades, particularly the phenylalanine and salicylic acid pathways, thereby augmenting antioxidant defenses and mitigating the damaging effects of reactive oxygen species (ROS) on soybean roots.

conclusionThis study offers valuable insights into the molecular mechanisms underlying metalloid tolerance in soybean, opening avenues for the development of strategies to bolster As resistance in contaminated soils. Nevertheless, further investigation is imperative to elucidate the intricate interplay of hormonal signaling in soybean roots during nSe supplementation under As stress conditions.

Indexed as

ArsenatesGlycine maxPhenylalaninePlant RootsSalicylic AcidSeleniumSoil PollutantsGene Expression Regulation, PlantReactive Oxygen SpeciesSeedlingsSignal TransductionArsenatesarsenic acidPhenylalanineReactive Oxygen SpeciesSalicylic AcidSeleniumSoil PollutantsArsenic stressGlycine maxHormonal regulationSelenium nanoparticlesTranscriptomic

Identifiers

PMID40414885
PMCPMC12105357

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.