Skip to main content
Log in

Elucidation of the population structure and genetic diversity of Bipolaris oryzae associated with rice brown spot disease using SSR markers

  • Original Article
  • Published:
3 Biotech Aims and scope Submit manuscript

Abstract

Brown spot disease, caused by Bipolaris oryzae, is one of the several disastrous diseases affecting rice. The brown spot fungus illustrates substantial pathogenic and genetic variability. To the best of our knowledge, extensive analysis utilizing specific SSR primers for B. oryzae genome is quite inadequate for the population structure and genetic diversity of Indian B. oryzae isolates. A total of 84 brown spot isolates were collected from rice-cultivating areas across southern and eastern Indian states, viz., Tamil Nadu, Andhra Pradesh, Odisha and Chhattisgarh. The pathogenicity and virulence characteristics of these isolates were assessed with the susceptible cultivar CR Dhan 201. Twelve genome-specific SSR markers of B. oryzae warranted the investigation of the population structure and genetic diversity among the isolates. These isolates were categorized based on their disease grade as highly virulent isolates (4 nos.), virulent isolates (8 nos.), moderately virulent isolates (47 nos.) and less virulent isolates (25 nos.). PCR amplification and DNA sequencing confirmed the isolates to be B. oryzae. PCR amplification and DNA sequencing confirmed the isolates to be B. oryzae. The SSR markers produced a total of 35 alleles with 1 to 4 alleles per locus with a gene diversity ranging between 0.00 and 0.687 and a major allele frequency variation of 0.425–0.975. The PIC value ranged from 0.00 to 0.638 having a mean value of 0.34. Cluster analysis technique was applied to group the brown spot isolates into four distinct clusters. Principal coordinate and structure analysis identified two genetic clusters of B. oryzae isolates for individual states with some degree of distinctness complying with their virulence. Analysis of molecular variance revealed more genetic variation within populations and less among populations. The study outcome would expedite the comprehension of genetic diversity of B. oryzae across the southern and eastern states of India. Furthermore, we anticipate its guidance in the development of more effective disease management strategies as well as in the generation of novel resistant varieties through marker-assisted breeding.

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

Similar content being viewed by others

References

  • Ahmadpour A, Castell-Miller C, Javan-Nikkhah M, Naghavi MR, Dehkaei FP, Leng Y, Puri KD, Zhong S (2018) Population structure, genetic diversity, and sexual state of the rice brown spot pathogen Bipolaris oryzae from three Asian countries. Plant Pathol 67:181–192. https://doi.org/10.1111/ppa.12714

    Article  CAS  Google Scholar 

  • Archana B, Kini KR, Prakash HS (2014) Genetic diversity and population structure among isolates of the brown spot fungus, Bipolaris oryzae, as revealed by inter-simple sequence repeats (ISSR). Afr J Biotechnol 13:238–244. https://doi.org/10.5897/AJB2013.12063

    Article  Google Scholar 

  • Ashfaq B, Arshad HMI, Atiq M, Yousaf S, Saleem K, Arshad A (2021) Biochemical profiling of resistant phenotypes against Bipolaris oryzae causing brown spot disease in rice. Front Agron 3:675895. https://doi.org/10.3389/fagro.2021.675895

    Article  Google Scholar 

  • Baranwal MK, Kotasthane A, Magculia N, Mukherjee PK, Savary S, Sharma AK, Singh HB, Singh US, Sparks AH, Variar M, Zaidi N (2013) A review on crop losses, epidemiology and disease. Eur J Plant Pathol 136:443–457

    Article  Google Scholar 

  • Boka A, Bouet A, Tiendrebeogo A, Kassankogno AI, Ouedraogo I, Nda GN, Denezon OD, Adiko A (2018) Pathogenic variability of Bipolaris oryzae causing leaf spot disease of rice in West Africa. Int J Phytopathol 7:103–110. https://doi.org/10.33687/phytopath.007.03.2643

    Article  Google Scholar 

  • Burgos MRG, Katimbang MLB, Paz MD, Beligan GA, Goodwin PH, Ona IP, Mauleon RP, Ardales EY, Cruz CV (2013) Genotypic variability and aggressiveness of Bipolaris oryzae in the Philippines. Eur J Plant Pathol 137:415–429

    Article  CAS  Google Scholar 

  • Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620. https://doi.org/10.1111/j.1365-294X.2005.02553.x

    Article  CAS  PubMed  Google Scholar 

  • Fajolu OL, Wadl PA, Vu AL, Gwinn KD, Scheffler BE, Trigiano RN, Ownley BH (2013) Development and characterization of simple sequence repeats for Bipolaris sorokiniana and cross transferability to related species. Mycologia 105:1164–1173. https://doi.org/10.3852/12-210

    Article  CAS  PubMed  Google Scholar 

  • Gomez KA, Gomez AA (1984) Statistical procedure for agricultural research. Wiley, New York

    Google Scholar 

  • Gupta V, Shamas N, Razdan VK, Sharma BC, Sharma R, Kaur K, Singh I, John D, Kumar A (2013) Foliar application of fungicides for the management of brown spot disease in rice (Oryza sativa L.) caused by Bipolaris oryzae. Afr J Agric Res 8:3303–3309

    Google Scholar 

  • Harish S, Kumar DS, Radjacommare R, Ebenezar EG, Seetharaman K (2008) Use of plant extracts and biocontrol agents for the management of brown spot disease in rice. Biol Control 53:555–567. https://doi.org/10.1007/s10526-007-9098-9

    Article  Google Scholar 

  • Hau FC, Rush MC (1980) A system for inducing sporulation of Bipolaris oryzae. Plant Dis 64:788–789. https://doi.org/10.1094/PD-64-788

    Article  Google Scholar 

  • Hughes KW, Petersen RH, Lodge DJ, Bergemann SE, Baumgartner K, Tulloss RE, Lickey E, Cifuentes J (2013) Evolutionary consequences of putative intra-and interspecific hybridization in agaric fungi. Mycologia 105:1577–1594. https://doi.org/10.3852/13-041

    Article  CAS  PubMed  Google Scholar 

  • IRRI (2013) Standard evaluation system (SES) of rice (revised), 5th edn. Philippines, Manila

    Google Scholar 

  • Jaiganesh V, Kannan C (2019) Studies on the cultural characters and pathogenicity studies of brown leaf spot of rice caused by Helminthosporium oryzae. Plant Arch 19:585–587

    Google Scholar 

  • Johnson DR, Percich JA (1992) Wild rice domestication, fungal brown spot disease, and the future of commercial production in Minnesota. Plant Dis 76:1193–1198. https://doi.org/10.1094/PD-76-1193

    Article  Google Scholar 

  • Kamal MM, Mia MAT (2009) Diversity and pathogenicity of the rice brown spot pathogen, Bipolaris oryzae (Breda de Haan) Shoem. in Bangladesh assessed by genetic fingerprint analysis. Bangl J Bot 38:119–125. https://doi.org/10.3329/bjb.v38i2.5135

    Article  Google Scholar 

  • Kandan A, Akhtar J, Singh B, Dixit D, Chand D, Roy A, Rajkumar S, Agarwal PC (2015) Molecular diversity of Bipolaris oryzae infecting Oryza sativa in India. Phytoparasitica 43:5–14. https://doi.org/10.1007/s12600-014-0430-5

    Article  CAS  Google Scholar 

  • Krupinsky JM, Berdahl JD, Schoch CL, Rossman AY (2004) Leaf spot on switch grass (Panicum virgatum), symptoms of a new disease caused by Bipolaris oryzae. Can J Plant Pathol 26:371–378. https://doi.org/10.1080/07060660409507155

    Article  Google Scholar 

  • Kumar A, Solanki IS, Akhtar J, Gupta V (2016) Morpho-molecular diversity of Bipolaris oryzae causing brown spot of paddy. Indian J Agric Sci 86:615–620

    CAS  Google Scholar 

  • Kumari S, Kumar A, Rani S (2015) Morphological characterization of Bipolaris oryzae causing brown spot of paddy in Bihar. Int Educ Res J 1:185–187

    Google Scholar 

  • Lee CH, Hou HH, Jong SJ (1984) Cytology of Helminthosporium oryzae. Mycopathologia 87:23–27. https://doi.org/10.1007/BF00436621

    Article  Google Scholar 

  • Librado P, Rozas J (2009) DnaSP v5: software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25:1451–1452. https://doi.org/10.1093/bioinformatics/btp187

    Article  CAS  PubMed  Google Scholar 

  • Liu K, Muse SV (2005) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21:2128–2129

    Article  CAS  Google Scholar 

  • Mew TW, Gonzales P (2002) A handbook of rice seedborne fungi. International Rice Research Institute/Science Publisher, Los Banos

    Google Scholar 

  • Milgroom MG (2015) Recombination and randomly mating populations. In: Milgroom MG (ed) Population biology of plant pathogens: genetics, ecology, and evolution. American Phytopathological Society, St Paul, pp 147–184

    Google Scholar 

  • Motlagh MRS, Anvari M (2010) Genetic variation in a population of Bipolaris oryzae based on RAPD-PCR in north of Iran. Afr J Biotechnol 9:5800–5804

    CAS  Google Scholar 

  • Nazari S, Javan-Nikkhah M, Fotouhifar KB, Khosravi V, Alizadeh A (2015) Bipolaris species associated with rice plant: pathogenicity and genetic diversity of Bipolaris oryzae using rep-PCR in Mazandaran province of Iran. J Crop Prot 4:497–508

    Google Scholar 

  • Nei M (1987) Molecular evolutionary genetics. Columbia University Press, New York. https://doi.org/10.7312/nei-92038

    Book  Google Scholar 

  • Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research an update. Bioinformatics 28:2537–2539. https://doi.org/10.1093/bioinformatics/bts460

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Prabhukarthikeyan SR, Yadav MK, Anandan A, Aravindan S, Keerthana U, Raghu S, Baite MS, Parameswaran C, Panneerselvam P, Rath PC (2019) Bio-protection of brown spot disease of rice and insight into the molecular basis of interaction between Oryza sativa, Bipolaris oryzae and Bacillus amyloliquefaciens. Biol Control 137:104018. https://doi.org/10.1016/j.biocontrol.2019.104018

    Article  CAS  Google Scholar 

  • Pritchard JX, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959

    Article  CAS  Google Scholar 

  • Spring O, Thines M (2010) Molecular techniques for classification and diagnosis of plant pathogenic Oomycota. In: Gherbawy Y, Voigt K (eds) Molecular identification of fungi. Springer, Berlin. https://doi.org/10.1007/978-3-642-05042-8-2

    Chapter  Google Scholar 

  • Sultana S, Adhikary SK, Islam MM, Rahman SMM (2018) Evaluation of pathogenic variability based on leaf blotch disease development components of Bipolaris sorokiniana in Triticum aestivum and agroclimatic origin. Plant Pathol J 34:93–103. https://doi.org/10.5423/PPJ.OA.08.2017.0175

    Article  PubMed  PubMed Central  Google Scholar 

  • Surendhar M, Anbuselvam Y, Ivin J (2021) Status of rice brown spot (Helminthosporium oryza) management in India: a review. Agric Rev. https://doi.org/10.18805/ag.R-2111

    Article  Google Scholar 

  • Webster RK, Gunnell PS (1992) Compendium of rice diseases. The American Phytopathological Society, St. Paul

    Google Scholar 

  • Yadav MK, Aravindan S, Raghu S, Prabhukarthikeyan SR, Keerthana U, Ngangkham U, Pramesh D, Banerjee A, Adak T, Kar MK, Parameswaran C, Deshmukh R, Tiwari JK, Mohanty MR, Rath PC (2019) Assessment of genetic diversity and population structure of Magnaporthe oryzae causing rice blast disease using SSR markers. Physiol Mol Plant Pathol 106:157–165. https://doi.org/10.1016/j.pmpp.2019.02.004

    Article  CAS  Google Scholar 

  • Brun S, Silar P (2010) In: Evolutionary biology-concepts, molecular and morphological evolution. In: Pontarotti P (ed). Springer, Berlin, pp 317–328

  • Lee FN (1992) Brown spot. In: Webster RK, Gunnell PS (eds) Compendium of rice diseases. APS, St. Paul, pp 14–17

  • Ou SH (1985) Fungus diseases-foliage diseases. In: Rice diseases, 2nd edn. Commonwealth Mycological Institute, Kew, pp 109–201

  • Perrier X, Jacquemoud–Collet JP (2006) DARwin software. http://darwin.cirad.fr/darwin

  • Schoch CL, Seifert KA, Huhndorf S, Robert V, Spouge JL, Levesque CA, Chen W, Fungal Barcoding Consortium (2012) Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi. PNAS 109:6241–6246

  • Umbrey Y, Divya M, Das T, Das S, Mahapatra S (2021) Isolation and identification of seed borne mycoflora associated with popular rice cultivars in North East India. J Cereal Res 13(Spl-1):43–50. https://doi.org/10.25174/2582-2675/2021/112852

  • White TJ, Bruns T, Lee S, Taylor J (1990) Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: PCR protocols. A guide to methods and applications. Academic Press, San Diego, pp 315–322. https://doi.org/10.1016/b978-0-12-372180-8.50042-1

Download references

Acknowledgements

The authors gratefully acknowledge ICAR-National Rice Research Institute, Cuttack, India for providing the necessary facilities.

Author information

Authors and Affiliations

Authors

Contributions

UK and MP contributed to conceptualization, methodology and writing––original draft; SRP was involved in writing––review and editing; RN and MKY performed data analysis and data curation; CP contributed to software and validation; MSB and SR carried out survey and methodology; MGR and SH carried out survey and processed samples; PP and PCR contributed to resources and data validation.

Corresponding author

Correspondence to S. R. Prabhukarthikeyan.

Ethics declarations

Conflict of interest

All the authors declare that they have no conflict of interest.

Ethical statement

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 16 KB)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Keerthana, U., Phalguni, M., Prabhukarthikeyan, S.R. et al. Elucidation of the population structure and genetic diversity of Bipolaris oryzae associated with rice brown spot disease using SSR markers. 3 Biotech 12, 281 (2022). https://doi.org/10.1007/s13205-022-03347-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s13205-022-03347-4

Keywords

Navigation