Skip to main content
Log in

Differential Analysis of Mycelial Proteins and Metabolites From Rigidoporus Microporus During In Vitro Interaction With Hevea Brasiliensis

  • Plant Microbe Interactions
  • Published:
Microbial Ecology Aims and scope Submit manuscript

Abstract

Rigidoporus microporus is the fungus accountable for the white root rot disease that is detrimental to the rubber tree, Hevea brasiliensis. The pathogenicity mechanism of R. microporus and the identity of the fungal proteins and metabolites involved during the infection process remain unclear. In this study, the protein and metabolite profiles of two R. microporus isolates, Segamat (SEG) and Ayer Molek (AM), were investigated during an in vitro interaction with H. brasiliensis. The isolates were used to inoculate H. brasiliensis clone RRIM 2025, and mycelia adhering to the roots of the plant were collected for analysis. Transmission electron microscope (TEM) images acquired confirms the hyphae attachment and colonization of the mycelia on the root of the H. brasiliensis clones after 4 days of inoculation. The protein samples were subjected to 2-DE analysis and analyzed using MALDI-ToF MS/MS, while the metabolites were extracted using methanol and analyzed using LC/MS-QTOF. Based on the differential analyses, upregulation of proteins that are essential for fungal evolution such as malate dehydrogenase, fructose 1,6-biphosphate aldolase, and glyceraldehyde-3-phosphate dehydrogenase hints an indirect role in fungal pathogenicity, while metabolomic analysis suggests an increase in acidic compounds which may lead to increased cell wall degrading enzyme activity. Bioinformatics analyses revealed that the carbohydrate and amino acid metabolisms were prominently affected in response to the fungal pathogenicity. In addition to that, other pathways that were significantly affected include “Protein Ubiquitination Pathway,” Unfolded Protein Response,” “HIFα Signaling,” and “Sirtuin Signaling Pathway.” The identification of responsive proteins and metabolites from this study promotes a better understanding of mechanisms underlying R. microporus pathogenesis and provides a list of potential biological markers for early recognition of the white root rot disease.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data Availability

The nucleotide sequences of all test genes were submitted in the NCBI Genbank database under accession numbers. Rigidoporus microporus Ayer Molek (AM) (accession No. MG199552.1) and Segamat (SEG) (accession No. MG199553.1); Hevea brasiliensis (accession No. MF981856.1).

References

  1. Monkai J, Hyde KD, Xu J, Mortimer PE (2017) Diversity and ecology of soil fungal communities in rubber plantations. Fungal Biol Rev 31:1–11

  2. Malaysian Rubber Board Digest (2020) Nat. RUBBER Stat. Malaysian Rubber Board 1–29. http://www3.lgm.gov.my/digest/digest/digest-1-2020.pdf

  3. Haryuni, Suwandi (2003) Mode of dispersal and variation in population of white root fungus Rigidoporus microporus as revealed by mycelial incompatibility. In: Biosantifikasi. Salatiga, Indonesia, pp 68–75

  4. Shabbir I, Abd Samad MY, Othman R et al (2020) White root rot disease suppression in rubber plant with microbial co-inoculants and silicon addition. Rhizosphere 15:1–8. https://doi.org/10.1016/j.rhisph.2020.100221

  5. Chaiharn M, Sujada N, Pathom-Aree W, Lumyong S (2019) Biological control of Rigidoporus microporus the cause of white root disease in rubber using PGPRs in vivo. Chiang Mai J Sci 46:850–866

    CAS  Google Scholar 

  6. Farhana AHKF, Bahri ARS, Thanh TAV, Zakaria L (2017) Morphological features of Rigidoporus microporus isolated from infected Malaysian rubber clones. Malaysian J Microsc 13:17–23

    Google Scholar 

  7. Islam MR, Tudryn G, Bucinell R et al (2017) Morphology and mechanics of fungal mycelium. Sci Rep 7:13070. https://doi.org/10.1038/s41598-017-13295-2

  8. Riquelme M, Aguirre J, Bartnicki-García S et al (2018) Fungal morphogenesis, from the polarized growth of hyphae to complex reproduction and infection structures. MicrobiolMolBiol Rev 82:1–47. https://doi.org/10.1128/mmbr.00068-17

    Article  CAS  Google Scholar 

  9. Pandey V, Singh M, Pandey D, Kumar A (2018) Integrated proteomics, genomics, metabolomics approaches reveal oxalic acid as pathogenicity factor in Tilletia indica inciting Karnal bunt disease of wheat. Sci Rep 8:1–14. https://doi.org/10.1038/s41598-018-26257-z

    Article  CAS  Google Scholar 

  10. Tan BC, Lim YS, Lau SE (2017) Proteomics in commercial crops: an overview. J Proteomics 169:176–188. https://doi.org/10.1016/j.jprot.2017.05.018

    Article  CAS  PubMed  Google Scholar 

  11. Al-Obaidi JR, Saidi NB, Usuldin SRA, et al (2016) Differential proteomic study of oil palm leaves in response to in vitro inoculation with pathogenic and non-pathogenic Ganoderma spp. J Plant Pathol 98:33–42. https://doi.org/10.4454/JPP.V98I2.025

  12. Al-Obaidi JR, HussinSaidi SNISNB et al (2017) Comparative proteomic analysis of Ganoderma species during in vitro interaction with oil palm root. PhysiolMol Plant Pathol 99:16–24. https://doi.org/10.1016/j.pmpp.2017.02.001

    Article  Google Scholar 

  13. Al-Obaidi JR, Saidi NB, Usuldin SRA et al (2016) Comparison of different protein extraction methods for gel-based proteomic analysis of Ganodermaspp. Protein J 35:100–106. https://doi.org/10.1007/s10930-016-9656-z

    Article  CAS  PubMed  Google Scholar 

  14. Martínez-salgado JL, León-ramírez CG, Barrera A et al (2013) Analysis of the regulation of the Ustilagomaydis proteome by dimorphism, pH or MAPK and GCN5 genes. J Proteomics 79:251–262

    Article  Google Scholar 

  15. Manikandan R, Karthikeyan G, Raguchander T (2017) Soil proteomics for exploitation of microbial diversity in Fusarium wilt infected and healthy rhizosphere soils of tomato. PhysiolMol Plant Pathol 100:185–193. https://doi.org/10.1016/j.pmpp.2017.10.001

    Article  CAS  Google Scholar 

  16. Wanichthanarak K, Fahrmann JF, Grapov D (2015) Genomic, proteomic, and metabolomic data integration strategies. Biomark Insights 10:1–6. https://doi.org/10.4137/BMI.S29511.TYPE

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Alizadeh MA, Jafari AA, Sepahvand K et al (2021) Evaluation of sainfoin accessions exposed to powdery mildew disease at four locations in Iran. Trop Grassl-Forrajes Trop 9:97–108. https://doi.org/10.17138/TGFT(9)97-108

  18. Srivastava S (2019) Emerging insights into the metabolic alterations in aging using metabolomics. Metabolites 9:1–16. https://doi.org/10.3390/metabo9120301

    Article  CAS  Google Scholar 

  19. Hong J, Yang L, Zhang D, Shi J (2016) Plant metabolomics: an indispensable system biology tool for plant science. Int J Mol Sci 17:767. https://doi.org/10.3390/ijms17060767

  20. Tizro P, Choi C, Khanlou N (2019) Sample preparation for transmission electron microscopy. Methods MolBiol 1897:417–424. https://doi.org/10.1007/978-1-4939-8935-5_33

    Article  CAS  Google Scholar 

  21. Jamil NAM, Rahmad N, Rosli NHM, Al-Obaidi JR (2018) Proteomic and metabolomic study of wax apple (Syzygium samarangense) fruit during ripening process. Electrophoresis. https://doi.org/10.1002/elps.201800185

    Article  PubMed  Google Scholar 

  22. Razali N, Aziz AA, Lim CY, Junit SM (2015) Investigation into the effects of antioxidant-rich extract of Tamarindus indica leaf on antioxidant enzyme activities, oxidative stress and gene expression profiles in HepG2 cells. PeerJ. https://doi.org/10.7717/peerj.1292

    Article  PubMed  PubMed Central  Google Scholar 

  23. Baysal Ö, Lai D, Xu HH et al (2013) A proteomic approach provides new insights into the control of soil-borne plant pathogens by bacillus species. PLoS ONE. https://doi.org/10.1371/journal.pone.0053182

    Article  PubMed  PubMed Central  Google Scholar 

  24. Zhang P, Zhu Y, Luo X, Zhou S (2019) Comparative proteomic analysis provides insights into the complex responses to Pseudoperonosporacubensis infection of cucumber (Cucumis sativus L.). Sci Rep 9:1–11. https://doi.org/10.1038/s41598-019-45111-4

    Article  CAS  Google Scholar 

  25. Kia SH, Jurkechova M, Glynou K et al (2018) The effects of fungal root endophytes on plant growth are stable along gradients of abiotic habitat conditions. FEMS MicrobiolEcol 94:1–10. https://doi.org/10.1093/femsec/fix162

    Article  CAS  Google Scholar 

  26. Pawlowski ML, Hartman GL (2016) Infection mechanisms and colonization patterns of fungi associated with soybean. Fungal Pathog. https://doi.org/10.5772/62305

    Article  Google Scholar 

  27. Peyraud R, Dubiella U, Barbacci A et al (2017) Advances on plant–pathogen interactions from molecular toward systems biology perspectives. Plant J 90:720–737. https://doi.org/10.1111/tpj.13429

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Rodriguez-Moreno L, Ebert MK, Bolton MD, Thomma BPHJ (2018) Tools of the crook- infection strategies of fungal plant pathogens. Plant J 93:664–674. https://doi.org/10.1111/tpj.13810

    Article  CAS  PubMed  Google Scholar 

  29. Quecine MC, Leite TF, Bini AP et al (2016) Label-free quantitative proteomic analysis of Puccinia psidiiuredospores reveals differences of fungal populations infecting eucalyptus and guava. PLoS ONE 11:1–19. https://doi.org/10.1371/journal.pone.0145343

    Article  CAS  Google Scholar 

  30. González-Fernández R, Aloria K, Valero-Galván J et al (2014) Proteomic analysis of mycelium and secretome of different Botrytis cinerea wild-type strains. J Proteomics 97:195–221. https://doi.org/10.1016/j.jprot.2013.06.022

    Article  CAS  PubMed  Google Scholar 

  31. Ibáñez AB, Bauer S (2014) Analytical method for the determination of organic acids in dilute acid pretreated biomass hydrolysate by liquid chromatography-time-of-flight mass spectrometry. Biotechnol Biofuels 7:1–9. https://doi.org/10.1186/s13068-014-0145-3

    Article  CAS  Google Scholar 

  32. Tong K, Li Zl, Sun X et al (2017) Metabolomics approach reveals annual metabolic variation in roots of Cyathula officinalisKuan based on gas chromatography-mass spectrum. Chinese Med (United Kingdom) 12:1–10. https://doi.org/10.1186/s13020-017-0133-1

    Article  CAS  Google Scholar 

  33. Ziveri J, Tros F, Guerrera IC et al (2017) The metabolic enzyme fructose-1,6 bisphosphate aldolase acts as a transcriptional regulator in pathogenic Francisella. Nat Commun 8:1–15. https://doi.org/10.1038/s41467-017-00889-7

    Article  CAS  Google Scholar 

  34. Luong TTM, Wang WW, Zhang F et al (2019) Structure-antifungal relationships and preventive effects of 1-(2,4-dihydroxyphenyl)-2-methylpropan-1-one derivatives as potential inhibitors of class-II fructose-1,6-bisphosphate aldolase. PesticBiochemPhysiol 159:41–50. https://doi.org/10.1016/j.pestbp.2019.05.016

    Article  CAS  Google Scholar 

  35. Pachauri S, Chatterjee S, Kumar V, Mukherjee PK (2019) A dedicated glyceraldehyde-3-phosphate dehydrogenase is involved in the biosynthesis of volatile sesquiterpenes in Trichoderma virens—evidence for the role of a fungal GAPDH in secondary metabolism. Curr Genet 65:243–252. https://doi.org/10.1007/s00294-018-0868-y

    Article  CAS  PubMed  Google Scholar 

  36. Mecejana A, Souza D, Regina L et al (2017) Estimates of genetic parameters for the rubber yield and secondary traits in rubber tree. Ind Crop Prod 98:19–24. https://doi.org/10.1016/j.indcrop.2017.01.017

    Article  Google Scholar 

  37. Lima JO, Pereira JF, Rincones J et al (2009) The glyceraldehyde-3-phosphate dehydrogenase gene of Moniliophthoraperniciosa, the causal agent of witches’ broom disease of Theobroma cacao. Genet MolBiol 32:362–366. https://doi.org/10.1590/S1415-47572009000200024

    Article  CAS  Google Scholar 

  38. Gao T, Chen J, Shi Z (2016) Fusarium graminearum Pyruvate dehydrogenase kinase 1 (FgPDK1) is critical for conidiation, mycelium growth, and pathogenicity. PLoS ONE 11:1–19. https://doi.org/10.1371/journal.pone.0158077

    Article  CAS  Google Scholar 

  39. Tiwari S, Thakur R, Shankar J (2015) Role of heat-shock proteins in cellular function and in the biology of fungi. Biotechnol Res Int 2015:1–11. https://doi.org/10.1155/2015/132635

    Article  CAS  Google Scholar 

  40. Chen L, Geng X, Ma Y et al (2019) The ER lumenal Hsp70 protein FpLhs1 is important for conidiation and plant infection in Fusarium pseudograminearum. Front Microbiol 10:1–12. https://doi.org/10.3389/fmicb.2019.01401

    Article  Google Scholar 

  41. Tauzin, A.S., Giardina, T.:Sucrose and invertases, a part of the plant defense response to the biotic stresses. Front. Plant Sci. (2014)

  42. Vylkova S (2017) Environmental pH modulation by pathogenic fungi as a strategy to conquer the host. PLoSPathog 13:1–6. https://doi.org/10.1371/journal.ppat.1006149

    Article  CAS  Google Scholar 

  43. Pusztahelyi, T., Holb, I.J., Pócsi, I.:Plant-fungal interactions: special secondary metabolites of the biotrophic, necrotrophic, and other specific interactions. In: Jean-Michel MérillonKishan GR (ed) Fungal metabolites. pp 1–58 (2016)

  44. Meir Z, Osherov N (2018) Vitamin biosynthesis as an antifungal target. J Fungi 4:72. https://doi.org/10.3390/jof4020072

    Article  CAS  Google Scholar 

  45. Zhang DD, Wang XY, Chen JY et al (2016) Identification and characterization of a pathogenicity-related gene VdCYP1 from Verticillium dahliae. Sci Rep 6:1–12. https://doi.org/10.1038/srep27979

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Malaysian Rubber Board

Funding

This research was funded by the Malaysian Rubber Board grant number (S16IPDM0533).

Author information

Authors and Affiliations

Authors

Contributions

Jameel R. Al-Obaidi conceptualized and designed the research. Jameel R. Al-Obaidi, Noor Baity Saidi, Roslinda Sajari, Dhilia Udie Lamasudin, and Safiah Atan executed the research. Ahmad Faiz Bin Che Fisol run the experiments and wrote the paper. Jameel R. Al-Obaidi, Ahmad Faiz Bin Che Fisol, and Norasfaliza Rahmad performed the proteomic analysis. Siti Nahdatul Isnaini Said Hussin and Nurul Hafiza MR performed the plant challenge experiment. Roslinda Sajari performed microscopy. Nurhanani Razali performed the bioinformatics analysis. All authors agree on the final content of this manuscript.

Corresponding author

Correspondence to Jameel R. Al-Obaidi.

Ethics declarations

Ethics Approval

The work presented has not been published before in any language or submitted to another journal for consideration.

Consent to Participate

The authors have given informed consent regarding the submission of the manuscript.

Conflict of Interest

The authors declare no competing interests.

Research Involving Human and Animal Rights

No humans or animals were used in this research.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fisol, A.F.B.C., Saidi, N.B., Al-Obaidi, J.R. et al. Differential Analysis of Mycelial Proteins and Metabolites From Rigidoporus Microporus During In Vitro Interaction With Hevea Brasiliensis. Microb Ecol 83, 363–379 (2022). https://doi.org/10.1007/s00248-021-01757-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00248-021-01757-0

Keywords

Navigation