Evidence map›Paper›PMID 42382403›Full record

ArticleFrontiers in plant science2026

Genome-wide identification of CAD and CCoAOMT gene families in soybean and analysis of expression patterns under

Biao Xu, Xiaodong Liu, Dawei Li, Guangxun Qi, Cuiping Yuan, Yumin Wang, Yingshan Dong, Hongkun Zhao

Abstract read
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.

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Biao Xu *Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Xiaodong Liu *Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Dawei LiJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Guangxun QiJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Cuiping YuanJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Yumin WangJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Yingshan DongJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.
Hongkun ZhaoJilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Soybean Research Institute, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cinnamyl alcohol dehydrogenase (CAD) and caffeoyl-coenzyme A 3-O-methyltransferase (CCoAOMT) are key enzymes in lignin biosynthesis, playing important roles in plant growth, development, and stress responses. However, the evolutionary relationships and functions of these two gene families in soybean remain poorly understood. Methods: In this study, a genome-wide identification of the CAD and CCoAOMT gene families in soybean was conducted to analyze their physicochemical properties, gene structures, conserved motifs, and chromosomal distributions. Their phylogenetic relationships, collinearity, promoter cis-elements, miRNA targeting, protein interaction networks, and tissue-specific expression patterns were investigated. The expression profiles under Results: A total of 41 Conclusions: This study reveals the evolutionary characteristics and regulatory networks of the CAD and CCoAOMT gene families in soybean, laying a foundation for further research into their roles in disease resistance.

Indexed as

caffeoyl-coenzyme A 3-O-methyltransferasecinnamyl alcohol dehydrogenaseexpression pattern analysisP. manshurica infectionsoybean

Identifiers

PMID42382403
PMCPMC13314508

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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.