Evidence map›Paper›PMID 41515035›Full record

ArticlePlants (Basel, Switzerland)2025

LcSHMT4 from Sheepgrass Improves Tolerance to Cadmium and Manganese and Enhances Cd and Mn Accumulation in Grains.

Jianli Wang, Guili Di, Yuanyuan Lin, Linlin Mu, Xu Zhuang, Dongmei Zhang, Weibo Han, Tuanyao Chai, Aimin Zhou, Kun Qiao

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Jianli WangInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
Guili DiIndustrial Crops Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
Yuanyuan LinCollege of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China.
Linlin MuInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
Xu ZhuangInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
Dongmei ZhangInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
Weibo HanInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
Tuanyao ChaiCollege of Life Science, University of the Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0003-0345-0536
Aimin ZhouCollege of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0001-6469-6279
Kun QiaoCollege of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China.

Funding

Agricultural Technology Innovation Project of Heilongjiang Province CX23GG06Longjiang Science and Technology Talent 'Spring Goose' Support Program of Heilongjiang Province of China CYQN24018National Major Agricultural Science and Technology Project NK202214040303Project of Laboratory of Advanced Agricultural Sciences, Heilongjiang Province ZY04JD05-004
6 · The paper itself

Abstract

Heavy metal contamination is a serious environmental problem worldwide, with substantial negative ecological and economic effects. Serine hydroxymethyltransferase (SHMT) is a key metabolic and photorespiratory enzyme in plant cells, and it is also involved in stress responses. In this study,

Indexed as

heavy metal stressserine hydroxymethyltransferasesheepgrasstolerancetransport

Identifiers

PMID41515035
PMCPMC12787419

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.