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An Easy Assay Technique of Detection and Identification of Phytophthora Infestans (Mont.) De Bary From Seed Tubers Before Planting for Healthy Production of Potato

Year 2017, Volume: 4 Issue: 1, 63 - 69, 06.01.2017

Abstract

The timely detection and appropriate
identification of causal agents associated with disease of crop plants or seeds
are considered to be the most important issue in formulating the management
strategies for plant diseases. This is particularly important for plant
diseases of a fungal nature, where disease-free planting materials is the only
effective way to restrict the disease
. Beside this, morphological discrimination requires
special skill and the expertise of taxonomists or specialists and also time
consuming. To simplify the detection, end-point polymerase chain reaction (PCR)
assays were developed. Consensus sequences obtained from multiple alignments of
target genes, RAPD based methodology was used to design the SCAR maker for
rapid detection of P. infestans (amplified product 524bp). BLASTn
was also used for in silico specificity. No cross reactivity was
observed when primers were checked against other Phytophthora spp. The
described primer sets allowed accurate identification and detection of P.
infestans
. All tests have multiple applications including screening of
healthy planting materials, breeding programs and disease diagnosis.

References

  • Altschul, S.F., Gish, W., Miller, W., Myers, E.W. and Lipman, D.J. 1990. Basic local alignment search tool. J. Mol. Biol. 215(3): 403-410.
  • Arab, H.R, Afshari, H., Daliri, M.S., Laei, G. and Toudar, S.R. 2012. The effect of planting date, depth and density on yield and yield components of potato in Shahrood (Iran). Journal of Research in Agricultural Science, 7: 141-149.
  • Atkins, S.D. and Clark, I.M. 2004. Fungal molecular diagnostics: a mini review. J. Appl. Genet. 45: 3-15.
  • Chakraborty, S., Chakraborty, N. and Datta, A. 2010. Increased nutritive value of transgenic potato by expressing a non-allergenic seed albumin gene from Amaranthus hypochondriacus. Proceedings of the National Academy of Sciences USA, 97: 3724-3729.
  • Caten, C.E. and Jinks, J.L. 1968. Spontaneous variability of single isolates of Phytophthora infestans. I. Cultural Variation. Canadian Journal of Botany, 46: 329-348.
  • Fathi, S.M. 1966. Some Studies on Seed and Seedling Disease of Corn. M.Sc. Thesis, Agriculture, Ain Shams, Egypt.
  • Haverkort, A J. 1990. Ecology of potato cropping systems in relation to latitude and altitude. Agricultural Systems, 32: 251-272.
  • Haas, B.J, Kamoun, S., Zody, M.C., Jiang, R.H.Y., Handsaker, R.E., Cano, L.M., Grabherr, M., Kodira, C.D, Raffaele, S. and Torto-Alalibo, T. 2009. Genome sequence and analysis of the Irish potato famine pathogen Phytophthora infestans. Nature, 461: 393-398.
  • Henson, J.M., and French, R. 1993. The polymerase chain reaction and plant disease diagnostics. Annu. Rev. Phytopathol. 31: 81-109.
  • Hussain, S, Lees, A.K., Duncan, J.M. and Cooke, D.E.L. 2005. Development of a species-specific and sensitive detection assay for Phytophthora infestans and its application for monitoring of inoculum in tubers and soil. Plant Pathol. 54: 373-382.
  • Hussain, T., Sharma, S., Singh, B.P., Jeevalatha, A., Sagar, V., Sharma, N.N., Kaushik, S.K., Chakrabarti, S.K. and Anwar, F. 2013. Detection of latent infection of Phytophthora infestans in potato seed tubers.Potato Journal 40(2): 142–148.
  • Hussain, T., Singh, B.P. and Firoz, A. 2014a. A quantitative real time PCR based method for the detection of P. infestans causing late blight of potato, in infested soil. Saudi J. Biol. Sci. 21: 380-386.
  • Hussian,T.,Singh,B.P.andTomar,S.2014b.Comparative study between different DNA extraction methods for detection of Late Blight of potato caused by Phythophthora infestans. Trends in Biosciences, 7(14):1707-1711.
  • Hussain T., Singh, B.P, Kaushik, S.K, Lal, M and Gupta, A.2014c. PCR protocol for quick and combined detection of Early and Late Blights of Potato. National Seminar on Emerging Problems of Potato, 1st and 2nd Nov. 2014, CPRI and IPA, Shimla, H.P.pg.169.
  • Hussain, T., Singh, B.P. and Anwar, F. 2015. Development of specific marker for PCR diagnostic of Late blight of potato caused by Phytophthora infestans using RAPD based SCAR methodology. Journal of Saudi Society of Agricultural Science Manuscript ID. JSSAS-D-13-00120R1 Accepted, under press.
  • Hussain, T. and Singh, B.P. 2016. Molecular diagnosis of Killer pathogen of Potato: Phytophthora infestans and its, management. Current Trends in Plant Diagnostics and management practices. Edited by Pradeep Kumar, V.K Gupta, A.K. Tiwari and Madhu Kamle. Springer International Publishing Switzerland, pp 2.
  • Hussain, T. 2016. Detection and quantification of Phytophthora infestans from host tissue and infested soil.Ph.D.Thesis. Dept. of Life Science,Uttarakhand Technical University, Dehradun, U.K.p1.
  • Hussain, T.2016a.Potatoes: Ensuring food for the future.Advances in Plant and Agricultural Research, 3(6):00117.
  • Hussain, T.2016b.Diagnostic of most important pathogen on potato through PCR techniques: A systematic Review.Trends in Biosciences.9(4):203-212.
  • Hijmans, R.J. 2003. The effect of climate change on global potato production. American Journal of Potato Research, 80: 271-280.

An Easy Assay Technique of Detection and Identification of Phytophthora Infestans (Mont.) De Bary From Seed Tubers Before Planting for Healthy Production of Potato

Year 2017, Volume: 4 Issue: 1, 63 - 69, 06.01.2017

Abstract

The timely detection and appropriate
identification of causal agents associated with disease of crop plants or seeds
are considered to be the most important issue in formulating the management
strategies for plant diseases. This is particularly important for plant
diseases of a fungal nature, where disease-free planting materials is the only
effective way to restrict the disease
. Beside this, morphological discrimination requires
special skill and the expertise of taxonomists or specialists and also time
consuming. To simplify the detection, end-point polymerase chain reaction (PCR)
assays were developed. Consensus sequences obtained from multiple alignments of
target genes, RAPD based methodology was used to design the SCAR maker for
rapid detection of P. infestans (amplified product 524bp). BLASTn
was also used for in silico specificity. No cross reactivity was
observed when primers were checked against other Phytophthora spp. The
described primer sets allowed accurate identification and detection of P.
infestans
. All tests have multiple applications including screening of
healthy planting materials, breeding programs and disease diagnosis.

References

  • Altschul, S.F., Gish, W., Miller, W., Myers, E.W. and Lipman, D.J. 1990. Basic local alignment search tool. J. Mol. Biol. 215(3): 403-410.
  • Arab, H.R, Afshari, H., Daliri, M.S., Laei, G. and Toudar, S.R. 2012. The effect of planting date, depth and density on yield and yield components of potato in Shahrood (Iran). Journal of Research in Agricultural Science, 7: 141-149.
  • Atkins, S.D. and Clark, I.M. 2004. Fungal molecular diagnostics: a mini review. J. Appl. Genet. 45: 3-15.
  • Chakraborty, S., Chakraborty, N. and Datta, A. 2010. Increased nutritive value of transgenic potato by expressing a non-allergenic seed albumin gene from Amaranthus hypochondriacus. Proceedings of the National Academy of Sciences USA, 97: 3724-3729.
  • Caten, C.E. and Jinks, J.L. 1968. Spontaneous variability of single isolates of Phytophthora infestans. I. Cultural Variation. Canadian Journal of Botany, 46: 329-348.
  • Fathi, S.M. 1966. Some Studies on Seed and Seedling Disease of Corn. M.Sc. Thesis, Agriculture, Ain Shams, Egypt.
  • Haverkort, A J. 1990. Ecology of potato cropping systems in relation to latitude and altitude. Agricultural Systems, 32: 251-272.
  • Haas, B.J, Kamoun, S., Zody, M.C., Jiang, R.H.Y., Handsaker, R.E., Cano, L.M., Grabherr, M., Kodira, C.D, Raffaele, S. and Torto-Alalibo, T. 2009. Genome sequence and analysis of the Irish potato famine pathogen Phytophthora infestans. Nature, 461: 393-398.
  • Henson, J.M., and French, R. 1993. The polymerase chain reaction and plant disease diagnostics. Annu. Rev. Phytopathol. 31: 81-109.
  • Hussain, S, Lees, A.K., Duncan, J.M. and Cooke, D.E.L. 2005. Development of a species-specific and sensitive detection assay for Phytophthora infestans and its application for monitoring of inoculum in tubers and soil. Plant Pathol. 54: 373-382.
  • Hussain, T., Sharma, S., Singh, B.P., Jeevalatha, A., Sagar, V., Sharma, N.N., Kaushik, S.K., Chakrabarti, S.K. and Anwar, F. 2013. Detection of latent infection of Phytophthora infestans in potato seed tubers.Potato Journal 40(2): 142–148.
  • Hussain, T., Singh, B.P. and Firoz, A. 2014a. A quantitative real time PCR based method for the detection of P. infestans causing late blight of potato, in infested soil. Saudi J. Biol. Sci. 21: 380-386.
  • Hussian,T.,Singh,B.P.andTomar,S.2014b.Comparative study between different DNA extraction methods for detection of Late Blight of potato caused by Phythophthora infestans. Trends in Biosciences, 7(14):1707-1711.
  • Hussain T., Singh, B.P, Kaushik, S.K, Lal, M and Gupta, A.2014c. PCR protocol for quick and combined detection of Early and Late Blights of Potato. National Seminar on Emerging Problems of Potato, 1st and 2nd Nov. 2014, CPRI and IPA, Shimla, H.P.pg.169.
  • Hussain, T., Singh, B.P. and Anwar, F. 2015. Development of specific marker for PCR diagnostic of Late blight of potato caused by Phytophthora infestans using RAPD based SCAR methodology. Journal of Saudi Society of Agricultural Science Manuscript ID. JSSAS-D-13-00120R1 Accepted, under press.
  • Hussain, T. and Singh, B.P. 2016. Molecular diagnosis of Killer pathogen of Potato: Phytophthora infestans and its, management. Current Trends in Plant Diagnostics and management practices. Edited by Pradeep Kumar, V.K Gupta, A.K. Tiwari and Madhu Kamle. Springer International Publishing Switzerland, pp 2.
  • Hussain, T. 2016. Detection and quantification of Phytophthora infestans from host tissue and infested soil.Ph.D.Thesis. Dept. of Life Science,Uttarakhand Technical University, Dehradun, U.K.p1.
  • Hussain, T.2016a.Potatoes: Ensuring food for the future.Advances in Plant and Agricultural Research, 3(6):00117.
  • Hussain, T.2016b.Diagnostic of most important pathogen on potato through PCR techniques: A systematic Review.Trends in Biosciences.9(4):203-212.
  • Hijmans, R.J. 2003. The effect of climate change on global potato production. American Journal of Potato Research, 80: 271-280.
There are 20 citations in total.

Details

Journal Section Research Articles
Authors

Touseef Hussaın This is me

Birpal Sıngh This is me

Firoz Anwar This is me

Publication Date January 6, 2017
Submission Date January 14, 2017
Published in Issue Year 2017 Volume: 4 Issue: 1

Cite

APA Hussaın, T., Sıngh, B., & Anwar, F. (2017). An Easy Assay Technique of Detection and Identification of Phytophthora Infestans (Mont.) De Bary From Seed Tubers Before Planting for Healthy Production of Potato. Turkish Journal of Agricultural and Natural Sciences, 4(1), 63-69.