Evidence map›Paper›PMID 37145322›Full record

ArticleRice (New York, N.Y.)2023

Microbe-Responsive Proteomes During Plant-Microbe Interactions Between Rice Genotypes and the Multifunctional Methylobacterium oryzae CBMB20.

Denver I Walitang, Aritra Roy Choudhury, Parthiban Subramanian, Yi Lee, Geon Choi, Kun Cho, Sung Ho Yun, Aysha Rizwana Jamal, Sun-Hee Woo, Tongmin Sa

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 4 institutions in 4 countries.

Denver I WalitangDepartment of Environmental and Biological Chemistry, Chungbuk National University, 28644, Cheongju, Republic of Korea.
Aritra Roy ChoudhuryMicrobiome Network and Department of Agricultural Biology, Colorado State University, Fort Collins, CO, USA.
Parthiban SubramanianNational Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si, Republic of Korea.
Yi LeeDepartment of Industrial Plant Science and Technology, Chungbuk National University, 28644, Cheongju, Republic of Korea.
Geon ChoiDepartment of Environmental and Biological Chemistry, Chungbuk National University, 28644, Cheongju, Republic of Korea.
Kun ChoBio-chemical Analysis Team, Center for Research Equipment, Korea Basic Science Institute, Cheongju, Republic of Korea.
Sung Ho YunBio-chemical Analysis Team, Center for Research Equipment, Korea Basic Science Institute, Cheongju, Republic of Korea.
Aysha Rizwana JamalDepartment of Environmental and Biological Chemistry, Chungbuk National University, 28644, Cheongju, Republic of Korea.
Sun-Hee WooDepartment of Agronomy, Chungbuk National University, Cheongju, Republic of Korea.
Tongmin SaDepartment of Environmental and Biological Chemistry, Chungbuk National University, 28644, Cheongju, Republic of Korea. tomsa@chungbuk.ac.kr.ORCID https://orcid.org/0000-0001-7444-5852
Chungbuk National University · KRKorea Basic Science Institute · KRColorado State University · USNational Institute of Technology Tiruchirappalli · IN

Funding

National Research Foundation of Korea 2021R1A2C1006608
6 · The paper itself

Abstract

backgroundRice is colonized by plant growth promoting bacteria such as Methylobacterium leading to mutually beneficial plant-microbe interactions. As modulators of the rice developmental process, Methylobacterium influences seed germination, growth, health, and development. However, little is known about the complex molecular responsive mechanisms modulating microbe-driven rice development. The application of proteomics to rice-microbe interactions helps us elucidate dynamic proteomic responses mediating this association.

resultsIn this study, a total of 3908 proteins were detected across all treatments of which the non-inoculated IR29 and FL478 share up to 88% similar proteins. However, intrinsic differences appear in IR29 and FL478 as evident in the differentially abundant proteins (DAPs) and their associated gene ontology terms (GO). Successful colonization of M. oryzae CBMB20 in rice resulted to dynamic shifts in proteomes of both IR29 and FL478. The GO terms of DAPs for biological process in IR29 shifts in abundance from response to stimulus, cellular amino acid metabolic process, regulation of biological process and translation to cofactor metabolic process (6.31%), translation (5.41%) and photosynthesis (5.41%). FL478 showed a different shift from translation-related to response to stimulus (9%) and organic acid metabolic acid (8%). Both rice genotypes also showed a diversification of GO terms due to the inoculation of M. oryzae CBMB20. Specific proteins such as peptidyl-prolyl cis-trans isomerase (A2WJU9), thiamine thiazole synthase (A2YM28), and alanine-tRNA ligase (B8B4H5) upregulated in IR29 and FL478 indicate key mechanisms of M. oryzae CBMB20 mediated plant growth promotion in rice.

conclusionsInteraction of Methylobacterium oryzae CBMB20 to rice results in a dynamic, similar, and plant genotype-specific proteomic changes supporting associated growth and development. The multifaceted CBMB20 expands the gene ontology terms and increases the abundance of proteins associated with photosynthesis, diverse metabolic processes, protein synthesis and cell differentiation and fate potentially attributed to the growth and development of the host plant. The specific proteins and their functional relevance help us understand how CBMB20 mediate growth and development in their host under normal conditions and potentially link subsequent responses when the host plants are exposed to biotic and abiotic stresses.

Indexed as

LC–MS/MSMethylobacteriumPlant growth promotionProteomicsRice

Identifiers

PMID37145322
PMCPMC10163190
OpenAlexW4372291589

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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.