Evidence map›Paper›PMID 42564062›Full record

ReviewFrontiers in plant science2026

Bryophytes in heavy metal-polluted environments: trait-based sensitivity, tolerance mechanisms, biomonitoring applications, and restoration potential.

Wen-Zhuan Huang, Wei Huang, Lu-Zi Jin, Chang-Hong Yu, Meng-Jie Yu, Wei-Wei Chen, Yu-Huan Wu

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wen-Zhuan Huang *College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.
Wei Huang *College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.
Lu-Zi JinJing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
Chang-Hong YuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.
Meng-Jie YuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.
Wei-Wei ChenCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.
Yu-Huan WuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal contamination remains a persistent environmental challenge due to its non-degradable nature, long residence time, and cumulative ecological impacts. Bryophytes have long been recognized as effective bioindicators because of their high sensitivity and strong metal accumulation capacity. However, current research on bryophyte-metal interactions remains fragmented, with limited integration between mechanistic understanding and ecological application. In this review, we develop a trait-informed, hypothesis-generating framework that links bryophyte characteristics to heavy metal exposure, physiological responses, and ecological functions. We first examine the structural, physicochemical, and ecological attributes that govern metal interception and exposure variability, and then synthesize current evidence for extracellular immobilization, intracellular detoxification, regulatory coordination, redox buffering, and metabolic reprogramming. We further evaluate bryophyte-associated microbiomes while distinguishing functional plausibility from direct causal evidence. On the applied side, we assess bryophytes as biologically interpretable biomonitoring systems and as realistic agents of ecological stabilization and engineered biosorption. Finally, we identify key limitations, including taxonomic bias, inconsistent trait parameterization, limited experimental validation, and challenges in translating laboratory findings to field conditions. This framework currently supports directional and testable expectations rather than universal quantitative prediction, and its predictive capacity will depend on standardized cross-species experiments and field validation.

Indexed as

antioxidant defensebiomonitoringbryophytesecological restorationheavy metal stressmicrobiomephytochelatinsphytoremediation

Identifiers

PMID42564062
PMCPMC13441962

What OpenQuestion holds

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Registered trials

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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.