Evidence map›Paper›PMID 39979445›Full record

ArticleScientific reports2025

Study on the growth characteristics of Pinus yunnanensis seedlings based on hormonal regulation and chlorophyll metabolism.

Ruilian Li, Qibo Wang, Sunling Li, Lin Chen, Nianhui Cai, Yulan Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

6 authors.

Ruilian LiKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Kunming, 650224, Yunnan, China.
Qibo WangKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Kunming, 650224, Yunnan, China.
Sunling LiYunnan Academy of Forestry and Grassland, Kunming, 650224, Yunnan, China.
Lin ChenKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Kunming, 650224, Yunnan, China.
Nianhui CaiKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Kunming, 650224, Yunnan, China. cainianhui@swfu.edu.cn.
Yulan XuKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Kunming, 650224, Yunnan, China. xuyulan@swfu.edu.cn.

Funding

Yunnan Fundamental Research Projects 202401BD070001-023Yunnan Graduate Tutor Team Building Project 2022-97Yunnan Province Ten Thousand People Plan Youth Top Talent Project Funding YNWR-QNBJ-2019-075Yunnan Provincial First-Class Discipline Construction Fund for Forestry at Southwest Forestry University LXXK-2024Z07
6 · The paper itself

Abstract

Pinus yunnanensis is an important coniferous species for both ecological and economic purposes in Southwest China. However, its seedlings grow slowly and show low productivity, with notable trait variability under the same cultivation conditions. These characteristics limit its extensive use in reforestation and forest management. Photosynthesis is the foundational process for plant growth and biomass accumulation. Chlorophyll, as the essential pigment in photosynthesis, directly impacts the synthesis of organic materials and the increase in biomass. In this study, the seedlings of P. yunnanensis were classified into three grades (I, II, and III) using the mean value ± 1/2 standard deviation method (H ± 1/2σ). Various growth traits, such as the number of branches, plant height, stem thickness, needle length, root characteristics, and biomass, were measured at multiple time points. The content of photosynthetic pigments was determined using spectrophotometry, endogenous hormone levels were analyzed by LC-MS/MS, and the expression of genes related to chlorophyll metabolism was detected through qRT-PCR. Pearson correlation analysis was employed to quantify the associations between hormone content, gene expression, and the seedlings' morphological characteristics. The results indicate that Grade I significantly outperform Grades II and III in terms of above-ground growth metrics. During the rapid growth period in March, Grade I seedlings had the highest chlorophyll content, potentially enhancing photosynthetic efficiency and increasing biomass allocation. Hormonal analysis revealed that compared to other grades, Grade I seedlings exhibited higher levels of ABA, JAs, and ACC, while Auxins and SAs were lower; there was no significant difference in CTK content between Grade I and Grade II, both of which were lower than in Grade III. qRT-PCR analysis confirmed that the expression of genes related to chlorophyll synthesis was significantly upregulated in Grade I seedlings. In contrast, the expression of genes associated with chlorophyll degradation was more active in Grade III seedlings. Correlation analysis further emphasized the strong link between hormone levels, gene expression, and growth traits. This study delves into the intrinsic mechanisms of morphological differentiation in P. yunnanensis seedlings by examining the synergistic effects of chlorophyll metabolism and endogenous hormone regulation. These findings can provide valuable references for cultivating high-quality seedlings, optimizing seed source selection, and improving afforestation techniques.

Indexed as

ChlorophyllPinusPlant Growth RegulatorsSeedlingsBiomassGene Expression Regulation, PlantPhotosynthesisChlorophyllPlant Growth RegulatorsChlorophyll metabolismEndogenous phytohormonesPinus yunnanensisSeedling differentiation

Identifiers

PMID39979445
PMCPMC11842716

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.