Evidence map›Paper›PMID 42453739›Full record

ArticleFrontiers in plant science2026

Genomic and functional characterization of the

Mingsen Cui, Xiya Sun, Liyuan Yang, Sikandar Amanullah, Chaonan Wang, Xuezheng Wang, Zuyun Dai, Zhongzhou Yang, Tiantian Yang, Huilin Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article 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

10 authors.

Mingsen CuiCollege of Horticulture, Xinjiang Agricultural University, Urumqi, China.
Xiya SunXinjiang Special Melon and Fruit Variety Improvement and Logistics Transportation Joint Research Center, Xinjiang Agricultural University, Urumqi, China.
Liyuan YangCollege of Horticulture, Xinjiang Agricultural University, Urumqi, China.
Sikandar AmanullahDepartment of Horticultural Science, North Carolina State University, Mountain Horticultural Crops Research and Extension Center, Mills River, NC, United States.
Chaonan WangCollege of Horticulture, Xinjiang Agricultural University, Urumqi, China.
Xuezheng WangCollege of Horticulture, Northeast Agricultural University, Harbin, China.
Zuyun DaiChina-Costa Rica Belt and Road Joint Laboratory on Fruit and Vegetable Bio-Breeding and Intelligent Technology, Anhui Jianghuai Horticulture Technology Co., Ltd., Hefei, China.
Zhongzhou YangKey Laboratory of Fruit and Vegetable Germplasm Innovation and Utilization in Jianghuai Region, Ministry of Agriculture and Rural Affairs, Hefei, China.
Tiantian YangCollege of Horticulture, Xinjiang Agricultural University, Urumqi, China.
Huilin WangCollege of Horticulture, Xinjiang Agricultural University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rind hardness is a significant horticultural trait that directly determines sensory quality and postharvest shelf life. Lignin deposition in the stone cell layer is the primary biochemical determinant of fruit rind, yet the genetic regulatory basis of lignin biosynthesis in watermelon has been studied less. Cinnamic acid 4-hydroxylase (C4H) is a rate-limiting enzyme in the phenylpropanoid metabolic cycle, essential for lignin biosynthesis in plants and the formation of robust fruit rinds. However, the in-depth genetic regulatory basis of rind hardness in many fruits has not been investigated. Herein, we conducted the first genome-wide bioinformatics analysis to identify the characterization of the

Indexed as

C4H gene familygene expressionlignin biosynthesisrind hardnesswatermelon

Identifiers

PMID42453739
PMCPMC13364571

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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.