Evidence map›Paper›PMID 32590947›Full record

ArticleBMC plant biology2020

Plant transcriptome analysis reveals specific molecular interactions between alfalfa and its rhizobial symbionts below the species level.

Wenjuan Kang, Zhehao Jiang, Yonggang Chen, Fang Wu, Chang Liu, Haifang Wang, Shangli Shi, Xue-Xian Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
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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

8 authors at 2 institutions in 3 countries.

Wenjuan KangCollege of Grassland Science, Gansu Agricultural University, Lanzhou, 730070, China.
Zhehao JiangCollege of Grassland Science, Gansu Agricultural University, Lanzhou, 730070, China.
Yonggang ChenCollege of Grassland Science, Gansu Agricultural University, Lanzhou, 730070, China.
Fang WuCollege of Grassland Science, Gansu Agricultural University, Lanzhou, 730070, China.
Chang LiuCollege of Grassland Science, Gansu Agricultural University, Lanzhou, 730070, China.
Haifang WangCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Shangli ShiCollege of Grassland Science, Gansu Agricultural University, Lanzhou, 730070, China. 2470398455@qq.com.ORCID http://orcid.org/0000-0002-3304-8030
Xue-Xian ZhangSchool of Natural and Computational Sciences, Massey University at Albany, Auckland, 0745, New Zealand.
Gansu Agricultural University · CNMassey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeguminous plants alter patterns of gene expression in response to symbiotic colonization and infection by their cognate rhizobial bacteria, but the extent of the transcriptomic response has rarely been examined below the species level. Here we describe the identification of 12 rhizobial biotypes of Ensifer meliloti, which form nitrogen-fixing nodules in the roots of alfalfa (Medicago sativa L.), followed by a comparative RNA-seq analysis of four alfalfa cultivars each inoculated with two E. meliloti strains varying in symbiotic performance and phylogenetic relatedness.

resultsRhizobial biotypes were identified on the basis of their symbiotic performance, particularly shoot dry weight. Differentially expressed genes (DEGs) and metabolic pathways were determined by comparing the RNA-seq data with that of the uninoculated control plant. Significant differences were found between DEGs generated in each cultivar with the inoculation of two rhizobial strains in comparison (P < 0.01). A total of 8111 genes was differentially expressed, representing ~ 17.1% of the M. sativa genome. The proportion of DEGs ranges from 0.5 to 12.2% for each alfalfa cultivar. Interestingly, genes with predicted roles in flavonoid biosynthesis and plant-pathogen interaction (NBS-LRR) were identified as the most significant DEGs. Other DEGs include Medsa002106 and genes encoding nodulins and NCR peptides whose expression is specifically induced during the development of nitrogen-fixing nodules. More importantly, strong significant positive correlations were observed between plant transcriptomes (DEGs and KEGG pathways) and phylogenetic distances between the two rhizobial inoculants.

conclusionsAlfalfa expresses significantly distinct sets of genes in response to infection by different rhizobial strains at the below-species levels (i.e. biotype or strain). Candidate genes underlying the specific interactions include Medsa002106 and those encoding nodulins and NCR peptides and proteins in the NBS-LRR family.

Indexed as

SymbiosisDNA Transposable ElementsFlavonoidsGene Expression ProfilingGlutamate-Ammonia LigaseLeghemoglobinMedicago sativaMolecular TypingNitrogen FixationPeptidesRNA, BacterialRNA-SeqSinorhizobium melilotiDNA Transposable ElementsFlavonoidsGlutamate-Ammonia LigaseLeghemoglobinPeptidesRNA, BacterialAlfalfa cultivarBiotypeRhizobiumRhizobium-legume symbiosisTranscriptome

Identifiers

PMID32590947
PMCPMC7318466
OpenAlexW3037359818

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.