Evidence map›Paper›PMID 35619157›Full record

ArticleEnvironmental microbiome2022

Deciphering core phyllomicrobiome assemblage on rice genotypes grown in contrasting agroclimatic zones: implications for phyllomicrobiome engineering against blast disease.

Kuleshwar Prasad Sahu, A Kumar, K Sakthivel, Bhaskar Reddy, Mukesh Kumar, Asharani Patel, Neelam Sheoran, Subbaiyan Gopalakrishnan, Ganesan Prakash, Rajeev Rathour and 1 more

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Article in Environmental microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
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17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Germination and Polishing Reshape Microbial Communities inJournal of agricultural and food chemistry · 2026
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  4. The coupling effect ofSynthetic and systems biotechnology · 2026
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  14. Article
  15. New Insights on EndophyticMicroorganisms · 2023
    Article
  16. Article
  17. Review
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

11 authors.

Kuleshwar Prasad SahuDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India.ORCID http://orcid.org/0000-0002-7401-9885
A KumarDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India. kumar@iari.res.in.
K SakthivelDivision of Field Crop Improvement and Protection, ICAR-Central Island Agricultural Research Institute, Port Blair, Andaman and Nicobar Islands, 744101, India.
Bhaskar ReddyDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India.
Mukesh KumarDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India.
Asharani PatelDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India.
Neelam SheoranDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India.
Subbaiyan GopalakrishnanDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Ganesan PrakashDivision of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi, 110012, India.
Rajeev RathourDepartment of Agricultural Biotechnology, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India.
R K GautamDivision of Field Crop Improvement and Protection, ICAR-Central Island Agricultural Research Institute, Port Blair, Andaman and Nicobar Islands, 744101, India.

Funding

Council of Scientific and Industrial Research, India File No: 09/083(0367)/2016-EMR-I
6 · The paper itself

Abstract

backgroundWith its adapted microbial diversity, the phyllosphere contributes microbial metagenome to the plant holobiont and modulates a host of ecological functions. Phyllosphere microbiome (hereafter termed phyllomicrobiome) structure and the consequent ecological functions are vulnerable to a host of biotic (Genotypes) and abiotic factors (Environment) which is further compounded by agronomic transactions. However, the ecological forces driving the phyllomicrobiome assemblage and functions are among the most understudied aspects of plant biology. Despite the reports on the occurrence of diverse prokaryotic phyla such as Proteobacteria, Firmicutes, Bacteroides, and Actinobacteria in phyllosphere habitat, the functional characterization leading to their utilization for agricultural sustainability is not yet explored. Currently, the metabarcoding by Next-Generation-Sequencing (mNGS) technique is a widely practised strategy for microbiome investigations. However, the validation of mNGS annotations by culturomics methods is not integrated with the microbiome exploration program. In the present study, we combined the mNGS with culturomics to decipher the core functional phyllomicrobiome of rice genotypes varying for blast disease resistance planted in two agroclimatic zones in India. There is a growing consensus among the various stakeholder of rice farming for an ecofriendly method of disease management. Here, we proposed phyllomicrobiome assisted rice blast management as a novel strategy for rice farming in the future.

resultsThe tropical "Island Zone" displayed marginally more bacterial diversity than that of the temperate 'Mountain Zone' on the phyllosphere. Principal coordinate analysis indicated converging phyllomicrobiome profiles on rice genotypes sharing the same agroclimatic zone. Interestingly, the rice genotype grown in the contrasting zones displayed divergent phyllomicrobiomes suggestive of the role of environment on phyllomicrobiome assembly. The predominance of phyla such as Proteobacteria, Actinobacteria, and Firmicutes was observed in the phyllosphere irrespective of the genotypes and climatic zones. The core-microbiome analysis revealed an association of Acidovorax, Arthrobacter, Bacillus, Clavibacter, Clostridium, Cronobacter, Curtobacterium, Deinococcus, Erwinia, Exiguobacterium, Hymenobacter, Kineococcus, Klebsiella, Methylobacterium, Methylocella, Microbacterium, Nocardioides, Pantoea, Pedobacter, Pseudomonas, Salmonella, Serratia, Sphingomonas and Streptomyces on phyllosphere. The linear discriminant analysis (LDA) effect size (LEfSe) method revealed distinct bacterial genera in blast-resistant and susceptible genotypes, as well as mountain and island climate zones. SparCC based network analysis of phyllomicrobiome showed complex intra-microbial cooperative or competitive interactions on the rice genotypes. The culturomic validation of mNGS data confirmed the occurrence of Acinetobacter, Aureimonas, Curtobacterium, Enterobacter, Exiguobacterium, Microbacterium, Pantoea, Pseudomonas, and Sphingomonas in the phyllosphere. Strikingly, the contrasting agroclimatic zones showed genetically identical bacterial isolates suggestive of vertical microbiome transmission. The core-phyllobacterial communities showed secreted and volatile compound mediated antifungal activity on M. oryzae. Upon phyllobacterization (a term coined for spraying bacterial cells on the phyllosphere), Acinetobacter, Aureimonas, Pantoea, and Pseudomonas conferred immunocompetence against blast disease. Transcriptional analysis revealed activation of defense genes such as OsPR1.1, OsNPR1, OsPDF2.2, OsFMO, OsPAD4, OsCEBiP, and OsCERK1 in phyllobacterized rice seedlings.

conclusionsPCoA indicated the key role of agro-climatic zones to drive phyllomicrobiome assembly on the rice genotypes. The mNGS and culturomic methods showed Acinetobacter, Aureimonas, Curtobacterium, Enterobacter, Exiguobacterium, Microbacterium, Pantoea, Pseudomonas, and Sphingomonas as core phyllomicrobiome of rice. Genetically identical Pantoea intercepted on the phyllosphere from the well-separated agroclimatic zones is suggestive of vertical transmission of phyllomicrobiome. The phyllobacterization showed potential for blast disease suppression by direct antibiosis and defense elicitation. Identification of functional core-bacterial communities on the phyllosphere and their co-occurrence dynamics presents an opportunity to devise novel strategies for rice blast management through phyllomicrobiome reengineering in the future.

Indexed as

AntibiosisBacterial volatilesBlastCore MicrobiomeDefense genesMagnaporthe oryzaePhyllomicrobiomePhyllosphereRice

Identifiers

PMID35619157
PMCPMC9134649

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