Evidence map›Paper›PMID 41724944›Full record

ArticleBMC plant biology2026

Genome-wide identification, evolutionary analysis, and expression profiling of pathogen recognition genes in Gastrodia elata.

Linshuang Tang, Shanshan Luo, Dachang Wang, Xinyun Liu, Xiaofeng Wang, Mingyan Tan, Bin He, Zhibo Zhao, Mingjin Huang

Abstract read
In one paragraph

Article in BMC plant biology, 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

9 authors.

Linshuang TangCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Shanshan LuoCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Dachang WangCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Xinyun LiuCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Xiaofeng WangCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Mingyan TanCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Bin HeCollege of Agriculture, Guizhou University, Guiyang, 550025, China.
Zhibo ZhaoCollege of Agriculture, Guizhou University, Guiyang, 550025, China. zbzhao@gzu.edu.cn.
Mingjin HuangCollege of Agriculture, Guizhou University, Guiyang, 550025, China. mjhuang@gzu.edu.cn.

Funding

Construction Project of Modern Industry Technology System for Traditional Chinese Medicinal Materials GZCYTX-02
6 · The paper itself

Abstract

backgroundGastrodia elata Bl., commonly known as Tianma, is a perennial non-photosynthetic plant of the Orchidaceae family. Its growth and development rely on the symbiosis with at least two specific fungi. However, during artificial cultivation, it is prone to pathogen infection, which limits its industrial development. Currently, there is a lack of systematic research on the genomic composition, evolutionary characteristics, and regulatory mechanisms of the disease-resistant genes in Tianma.

methodThe study focused on the genome of G. elata with a dark red phenotype. Pathogen recognition genes (PRGs) were systematically identified by integrating plant resistance gene databases, sequence homology searches, and domain verification. Phylogenetic relationships, chromosomal distribution, gene structure, conserved motifs, and repetitive events were analyzed. Additionally, the evolutionary conservation was evaluated through inter-species synteny analysis. Furthermore, cis-acting elements (CAEs) within the 2,000 bp promoter region were predicted, and expression patterns at different developmental stages and in different genotypes were analyzed based on transcriptomic data.

resultA total of 67 PRGs in G. elata (GePRGs) were identified, belonging to multiple gene families and exhibiting significant structural and evolutionary diversity. Tandem and fragment repeats both contributed to the expansion of this gene family, with six tandem repeat events detected. A total of 54 GePRGs showed significant syntenic relationships with homologous genes in other plants. The promoter region was found to contain 101 CAEs, which were enriched in MYB binding sites, dehydration-responsive elements, and low-temperature-responsive elements, suggesting their potential involvement in abiotic stress and pathogen defense responses. Expression analysis revealed that GeLRR-RLK12, GeLec-RLK15, and GeLRR-RLK28 were highly expressed during early developmental stages, while GeLRR-RLK24, GeLec-RLK2, GeLec-RLK3, and GeLec-RLK8 were continuously upregulated throughout development. The G. elata with light green stem (GELG) exhibited the highest overall expression levels of GePRGs, with GeLRR-RLK17, GeLRR-RLK36, GeLYK1, and GeLec-RLK13 showing particularly prominent expression.

conclusionThis study systematically analyzed the characteristics, evolutionary relationships, and expression patterns of GePRGs, which provide valuable genetic resources for disease-resistant breeding and the selection of superior germplasm in G. elata.

Indexed as

Disease ResistanceEvolution, MolecularGastrodiaGenes, PlantGenome, PlantGene Expression ProfilingGene Expression Regulation, PlantPhylogenyPromoter Regions, GeneticCis-acting elementsGastrodia elataPathogen recognition genesTranscriptomes

Identifiers

PMID41724944
PMCPMC13036916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.