Evidence map›Paper›PMID 41681021›Full record

ArticlePlant, cell & environment2026

Chromosome-Level Genome and Organ-Specific Transcriptome of Alnus glutinosa Uncover Lineage-Specific Innovations in Root Nodule Symbiosis.

Zijian Liu, Xiaoxiao Zhao, Xiuli Li, Yong Feng, Linnan Wu, Zhen Wu, Yao Zhong, Qingcheng Qiu, Bo Song, Hang Zhao and 2 more

Abstract read
In one paragraph

Article in Plant, cell & environment, 2026. 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

12 authors.

Zijian LiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID 0009-0007-5137-2743
Xiaoxiao ZhaoShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Xiuli LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yong FengShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Linnan WuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Zhen WuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yao ZhongShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Qingcheng QiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Bo SongShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Hang ZhaoShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Hongbing LiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Shifeng ChengShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.

Funding

the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ASTIP-2021-AGIS-ZDRW202101the Guangdong Zhujiang Talents Program 2019ZT08N628the National Key R&D Program of China 2023YFA0914600the National Key R&D Program of China 2023YFF1000100the National Natural Science Foundation of China 32401853the Shenzhen Fundamental Research Institutions Program AGIS-ZDKY202002the Special Fund for Science and Technology Innovation and Industrial Development of Dapeng New District, Shenzhen PT202101-01
6 · The paper itself

Abstract

Alnus glutinosa is one of only three lineages within the order Fagales capable of establishing root nodule symbiosis (RNS). Although a fragmented genome assembly of A. glutinosa was previously available, its limited quality, combined with the lack of comprehensive transcriptomic resources, has constrained in-depth comparative and functional genomic analyses. In this study, we present a 505 Mb chromosome-level genome assembly of A. glutinosa, anchored to 14 pseudochromosomes, representing the most complete and high-quality genomic resource for this species to date. Whole-genome alignment and synonymous substitution rate (Ks) analysis confirm Alnus and Betula as sister genera with shared genomic architectures and evolutionary histories. Functional enrichment analyses of nodule-enhanced genes reveal significant associations with photosynthesis and sugar metabolism, while expanded gene families are enriched in terpenoid biosynthesis and malate transport pathways, likely critical to RNS in A. glutinosa. Phylogenetic analysis indicated that Alnus has retained non-symbiotic class 1 haemoglobin (nsHB1), but lost nsHB2 haemoglobin, suggesting a lineage-specific adaptation in symbiotic oxygen regulation. Further comparative analysis of nsHB1 protein sequences across nodulating taxa highlights evolutionary patterns within the Alnus lineage. Through a targeted phylogenetic survey of known RNS-related genes, we identified PAV in RPG and copy number variation in AGO5, both of which may underlie Alnus-specific RNS adaptations. Weighted gene co-expression network analysis identified a nodule-specific module comprising 231 genes significantly enriched in sugar-related metabolic pathways. Notably, the bZIP ortholog shows conserved nodule-specific expression across species from Cucurbitales, Rosales and Fabales, suggesting deep evolutionary conservation within the nitrogen-fixing clade. Together, these findings provide a high-resolution view of Alnus-specific RNS adaptations and uncover conserved regulatory modules potentially critical for RNS. These works establish a foundational genomic framework for future efforts aimed at engineering RNS capacity into non-nodulating crops.

Indexed as

AlnusChromosomes, PlantGenome, PlantRoot Nodules, PlantSymbiosisTranscriptomePhylogenygenetic variationgenomenutrients/nitrogensymbiosis

Identifiers

PMID41681021
PMCPMC13136556

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.