Evidence map›Paper›PMID 41781966›Full record

ReviewJournal of nanobiotechnology2026

Post translational modifications as biomarkers of soil microbe responses to nano-pesticides.

Atul Kumar Srivastava, Pooja Mishra, Simpal Kumari, Nisar Uddin, Songshu Chen, Yudan Zhao, Xin Xie

Abstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Atul Kumar Srivastava *Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang, 550025, PR China.
Pooja Mishra *Crop Protection Division, CSIR-Central Institute of Medicinal Aromatic Plants, Lucknow, 226015, India.
Simpal KumariDepartment of Microbiology, Faculty of Science and Technology, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, 226017, India.
Nisar UddinDepartment of Plant Pathology, College of Agriculture, Guizhou University, Guiyang, 550025, PR China.
Songshu ChenDepartment of Plant Pathology, College of Agriculture, Guizhou University, Guiyang, 550025, PR China.
Yudan ZhaoState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xin XieDepartment of Plant Pathology, College of Agriculture, Guizhou University, Guiyang, 550025, PR China. ippxiexin@163.com.

Funding

National Natural Science Foundation of China 32272514
6 · The paper itself

Abstract

Nano-pesticides represent a significant technology advancement in modern agricultural, offering improved target specificity and reduced chemical load. However, their potential to induce subtle, sub-lethal disturbance in soil microbial function remains poorly resolved and is not adequately capture by conventional indicators such as microbial diversity, abundance, or bulk enzymatic activity. The central novelty of this review lies in proposing post-translational modifications (PTMs) as functional, early-warning biomarkers for nano-pesticide induced microbial stress, providing a molecular resolution that bridges exposure and ecological outcome. This review critically examines the current evidence on nano-pesticides-microbiome interaction and PTM-centric framework to interpret microbial responses at the protein regulation level. We highlight phosphorylation, acetylation, and ubiquitination regulate microbial stress responses, modulating detoxification enzymes, efflux pumps, and cellular signalling pathways under nanoparticle-induced stress. Unlike prior reviews that emphasize toxicity endpoints or gene-level responses, this work integrates metaproteomic evidence demonstrating PTM enrichment within stress-responsive functional protein groups across real environmental datasets, underscoring their relevance as conserved biomarkers of adaptive and maladaptive responses. By integrating metagenomics with metaproteomic and metabolomics, this review illustrates how PTM profiling enables mechanistic insight into microbial adaptation, functional impairment, and resilience under nano-pesticide pressure. Furthermore, we introduce a systems-level perspective that combines PTM data with computational modelling and AI-assisted bioinformatics to predict microbiome shifts and ecological risk, an approach not previously synthesized within the context of nano-pesticide assessment. Collectively, this review bridges nanomaterial design, microbial molecular regulation, and environmental risk evaluation, and proposes PTM-based assessment as a new paradigm for developing microbiome-safe, eco-compatible nano-pesticides and advancing molecular environmental monitoring strategies.

Indexed as

NanoparticlesPesticidesProtein Processing, Post-TranslationalSoil MicrobiologyBiomarkersMicrobiotaBiomarkersPesticidesMicrobiomeNano-pesticidesNanotoxicityPost-translational modifications

Identifiers

PMID41781966
PMCPMC13069739

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.