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Record W4391893441 · doi:10.3389/fpls.2024.1378837

Editorial: Interaction of nano and microplastic with different plant species: concerns and opportunities

2024· editorial· en· W4391893441 on OpenAlexaff
Muhammad Arslan Ahmad, Muhammad Adeel, Muhammad Zain, Rabia Javed

Bibliographic record

VenueFrontiers in Plant Science · 2024
Typeeditorial
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPlant speciesNano-BiologyNanotechnologyEcologyEngineeringMaterials scienceChemical engineering

Abstract

fetched live from OpenAlex

Plastic pollution is a pervasive and growing problem. Plastic production is approximately 6300 million tons worldwide, of which 79% is deposited in landfills and other ecological segments leading to pollution (Geyer et al., 2017). The surface properties of nano-microplastics (NMPs) facilitate the adsorption of heavy metals, antibiotics, and other persistent organic pollutants, leading to their co-migration into the terrestrial environment (Guo et al., 2022). Plastic materials from various sources have been identified in agricultural soil, necessitating comprehensive investigations into the risks posed by NMPs and their consequences on agricultural plants (Azeem et al., 2021). Despite significant knowledge gaps in understanding the interactions between the natural environment and NMPs, mounting evidence suggests their detrimental effects on a diverse range of taxa (Azeem et al., 2022). It is imperative to explore the emerging hazards of NMPs in the soil-plant system and their potential effects on the food chain. The objective of this Research Topic is to elucidate key interactions (biochemical, cellular, and molecular) between different plant species and NMPs, focusing on relevant toxicity aspects. In addition, this Research Topic also focuses on the co-existence of NMPs with other environmental pollutants in soil-plant systems. This Research Topic commences with an article by Luo et al. examining the impact of plastic mulching (PM) combined with nitrogen (N) fertilizer on winter wheat in dryland areas, focusing on grain yield, sulfur (S) nutrition, and quality. While PM enhances grain yield by 13.7%, it concurrently reduces grain S concentration, S requirement for 1,000 kg -1 grain, soil available S concentration, and post-anthesis S uptake. Shoot S accumulation at anthesis increases significantly under PM, though there is no notable difference at maturity. The relationship between grain S concentration/S requirement and N fertilization follows a linear-plateau pattern, peaking at 110/127 kg N ha -1 under PM, 37.5%/27.0% higher than under no mulching. The study suggests that combining soil S with optimal N fertilizer under PM enhances grain S concentration, benefiting nutritional and processing qualities in regions with similar cropping systems.The research involved two phases; a conditioning phase where Daucus carota was grown with 12 types of MPs, and a feedback phase where soil inoculum from these conditioned soils was used to grow both native D. carota and the range-expanding plant species Calamagrostis epigejos. Results showed that films, foams, and fragments induced positive feedback on shoot mass, likely due to effects on soil water content and aeration during the conditioning phase. Films, by decreasing soil water content, may have reduced harmful soil biota, promoting mutualist lavishness, microbial activity, and carbon mineralization, clearly impacting plant growth. Foams and fragments, by enhancing soil aeration, likely increased mutualistic biota and enzymatic activity, supporting plant growth. However, fibers caused negative feedback on root mass, possibly by increasing soil water content and promoting soil pathogens. MPs also had a lasting impact on root traits, with D. carota developing thicker roots, likely to encourage mycorrhizal associations, and C. epigejos exhibiting reduced root diameter, possibly to minimize pathogenic infection. The legacy effects of MPs varied depending on the shape and polymer type, influencing plant-soil feedbacks. This research suggests that MPs can affect plant growth and soil interactions in diverse ways, and the legacy effects may contribute to the competitive success of certain plant species.Han et al. investigates the impact of cadmium (Cd) alone and its co-existence with polypropylene microplastics (PP-MPs) on various aspects of wheat crop. The results indicate that while the germination rate of wheat was not considerably affected across treatment groups, the inhibitory effect on seed germination was intensified when Cd and PP-MPs co-existed. Germination index and mean germination time were not affected, but Cd and PP-MPs exhibited collective effects on germination energy. Cd alone and in combination with PP-MPs hindered wheat root and shoot length, with noticeable changes in seedling dry weight until the third day, followed by marginal differences on the seventh day. The combined application of Cd and PP-MPs showed that 50 µm (PP-MPs+Cd) had an hostile impact on wheat seedling growth, while 100 µm (PP-MPs+Cd) had a synergistic impact, likely due to the larger size of PP-MPs. The antioxidant enzyme system in wheat seeds and seedlings increased under single Cd pollution, but the activities of superoxide dismutase, catalase, and peroxidase decreased under combined pollution. Overall, the study suggests that Cd negatively affects wheat growth, and the co-existence of Cd and PP-MPs has complex effects influenced by the size of the PP-MPs.highlighting its global significance. The study reveals that MP stress hampers plant's physical growth through two main mechanisms; the blockage of openings in seed coats or roots, affecting water and nutrient uptake, and the induction of drought via enlarged soil cracking caused by MPs.Physiological growth reduction under MP stress is associated with excessive reactive oxygen species (ROS) production, altered leaf and root ionome, compromised hormonal regulation, and a drop in chlorophyll and photosynthesis. MP stress also ultimately affects plant growth by altering soil productivity, with the negative effects varying based on different MP surface functional groups

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0030.001
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0230.017

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.210
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2024
Admission routes1
Has abstractyes

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