Plant diseases have caused severe losses to humans in several ways. The goal of plant disease management is to reduce the economic and aesthetic damage caused by plant diseases. The main objective of this review was to understand about a gene pyramiding concepts with principles &application in disease management. Disease management procedures are frequently determined by disease forecasting or disease modeling rather than on either a calendar or prescription basis. Correct diagnosis of a disease is necessary to identify the pathogen, which is the real target of any disease management program. Improving disease resistance in crops is crucial for stable food production. Quantitative trait loci (QTLs), which usually have smaller individual effects than R-genes but confer broad-spectrum or non-race-specific resistance, can contribute to durable disease resistance (DR). Gene pyramiding holds greater prospects to attain durable resistance against biotic and abiotic stresses in crop. Agene pyramiding involves the use of several genes in a single cultivar to provide a wider base of disease resistance.
Published in | International Journal of Photochemistry and Photobiology (Volume 3, Issue 2) |
DOI | 10.11648/j.ijpp.20190302.11 |
Page(s) | 15-20 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Disease Management, Disease Resistance, Genetically Modified Organism, Gene Pyramiding, Marker Assisted Selection, Molecular Markers
[1] | Coca-Morante, M. and Tolín-Tordoya, I., 2013. The Potato late blight caused by Phytophthorainfestans Mont de Bary as selection factor of phurejas potatoes (Solanumphureja Juzet Buk) in endemic areas of the bolivian Andes. American Journal of Plant Sciences, 4 (01), p. 53. |
[2] | Wisser, R. J., Kolkman, J. M., Patzoldt, M. E., Holland, J. B., Yu, J., Krakowsky, M., Nelson, R. J. and Balint-Kurti, P. J., 2011. Multivariate analysis of maize disease resistances suggests a pleiotropic genetic basis and implicates a GST gene. Proceedings of the National Academy of Sciences, 108 (18), pp. 7339-7344. |
[3] | Mazzola, M. and Freilich, S., 2017. Prospects for biological soilborne disease control: application of indigenous versus synthetic microbiomes. Phytopathology, 107 (3), pp. 256-263. |
[4] | Fukuoka, S., Saka, N., Mizukami, Y., Koga, H., Yamanouchi, U., Yoshioka, Y., Hayashi, N., Ebana, K., Mizobuchi, R. and Yano, M., 2015. Gene pyramiding enhances durable blast disease resistance in rice. Scientific reports, 5, p. 7773 |
[5] | Chaube, H., 2017. Plant disease management: Principles and practices. CRC Press. |
[6] | Servin, A. D. and White, J. C., 2016. Nanotechnology in agriculture: next steps for understanding engineered nanoparticle exposure and risk. Nano Impact, 1, pp. 9-12. |
[7] | Villa, F., Cappitelli, F., Cortesi, P. and Kunova, A., 2017. Fungal biofilms: targets for the development of novel strategies in plant disease management. Frontiers in microbiology, 8, p. 654. |
[8] | Rawal, G., Yadav, S. and Kumar, R., 2017. Post-intensive care syndrome: An overview. Journal of translational internal medicine, 5 (2), pp. 90-92. |
[9] | Singh, S., Singh, R. P., Bhavani, S., Huerta-Espino, J. and Eugenio, L. V. E., 2013. QTL mapping of slow-rusting, adult plant resistance to race Ug99 of stem rust fungus in PBW343/Muu RIL population. Theoretical and Applied Genetics, 126 (5), pp. 1367-1375. |
[10] | Singh, R. P., Hodson, D. P., Jin, Y., Lagudah, E. S., Ayliffe, M. A., Bhavani, S., Rouse, M. N., Pretorius, Z. A., Szabo, L. J., Huerta-Espino, J. and Basnet, B. R., 2015. Emergence and spread of new races of wheat stem rust fungus: continued threat to food security and prospects of genetic control. Phytopathology, 105 (7), pp. 872-884. |
[11] | Goutam, U., Kukreja, S., Yadav, R., Salaria, N., Thakur, K. and Goyal, A. K., 2015. Recent trends and perspectives of molecular markers against fungal diseases in wheat. Frontiers in microbiology, 6, p. 861. |
[12] | Hartung, F. and Schiemann, J., 2014. Precise plant breeding using new genome editing techniques: opportunities, safety and regulation in the EU. The Plant Journal, 78 (5), pp. 742-752. |
[13] | Ashkani, S., Rafii, M. Y., Shabanimofrad, M., Miah, G., Sahebi, M., Azizi, P., Tanweer, F. A., Akhtar, M. S. and Nasehi, A., 2015. Molecular breeding strategy and challenges towards improvement of blast disease resistance in rice crop. Frontiers in plant science, 6, p. 886. |
[14] | Tosun, J. and Hartung, U., 2018. Decentralising competences in multi-level systems: Insights from the regulation of genetically modified organisms. West European Politics, 41 (3), pp. 803-823. |
[15] | Yue, G. H., 2014. Recent advances of genome mapping and marker-assisted selection in aquaculture. Fish and fisheries, 15 (3), pp. 376-396. |
[16] | Gupte, R., Liu, Z. and Kraus, W. L., 2017. PARPs and ADP-ribosylation: recent advances linking molecular functions to biological outcomes. Genes & Development, 31 (2), pp. 101-126. |
[17] | Poland, J. A. and Rife, T. W., 2012. Genotyping-by-sequencing for plant breeding and genetics. The Plant Genome, 5 (3), pp. 92-102. |
[18] | Aktar-Uz-Zaman, M., Tuhina-Khatun, M., Hanafi, M. M. and Sahebi, M., 2017. Genetic analysis of rust resistance genes in global wheat cultivars: an overview. Biotechnology & Biotechnological Equipment, 31 (3), pp. 431-445. |
[19] | Kassa, M. T., You, F. M., Hiebert, C. W., Pozniak, C. J., Fobert, P. R., Sharpe, A. G., Menzies, J. G., Humphreys, D. G., Harrison, N. R., Fellers, J. P. and McCallum, B. D., 2017. Highly predictive SNP markers for efficient selection of the wheat leaf rust resistance gene Lr16. BMC plant biology, 17 (1), p. 45. |
[20] | Shamanin, V., Salina, E., Wanyera, R., Zelenskiy, Y., Olivera, P. and Morgounov, A., 2016. Genetic diversity of spring wheat from Kazakhstan and Russia for resistance to stem rust Ug99. Euphytica, 212 (2), pp. 287-296. |
[21] | Li, Z., Lan, C., He, Z., Singh, R. P., Rosewarne, G. M., Chen, X. and Xia, X., 2014. Overview and application of QTL for adult plant resistance to leaf rust and powdery mildew in wheat. Crop Science, 54 (5), pp. 1907-1925. |
[22] | Ali, Y., Khan, M. A., Atiq, M. and Hussain, M., 2018. Novel Gene Pyramiding to Combat Rusts in Global Wheat Varieties against Prevalent Virulence: A Review. Sarhad Journal of Agriculture, 34. |
[23] | Javaid, M. M., Zulkiffal, M., Ali, Y., Mehmood, A., Ahmed, J., Hussain, M., Muhammad, F., Sabir, W., Tanveer, M. H. and Yasin, O., 2018. Impact of Environmental and Pathogenic Variability on Breaking of Host Rust Resistance in Wheat Cultivars under Changing Climatic Conditions. |
[24] | Fuchs, M., 2017. Pyramiding resistance-conferring gene sequences in crops. Current opinion in virology, 26, pp. 36-42. |
[25] | Singh, D. P., 2017. Management of Rust Diseases in Wheat and Barley: Next Generation Tools. In Management of Wheat and Barley Diseases (pp. 65-108). Apple Academic Press. |
[26] | Savadi, S., Prasad, P., Kashyap, P. L. and Bhardwaj, S. C., 2018. Molecular breeding technologies and strategies for rust resistance in wheat (Triticum aestivum) for sustained food security. Plant pathology, 67 (4), pp. 771-791. |
[27] | Song, S., Tian, D., Zhang, Z., Hu, S. and Yu, J., 2019. Rice genomics: over the past two decades and into the future. Genomics, proteomics & bioinformatics. |
[28] | Das G, Rao GJ, Varier M, Prakash A, Prasad D. Improved Tapaswini having four BB resistance genes pyramided with six genes/QTLs, resistance/tolerance to biotic and abiotic stresses in rice. Scientific reports. 2018 Feb 5; 8 (1): 2413. |
[29] | Brar, D. S. and Khush, G. S., 2018. Wild relatives of rice: a valuable genetic resource for genomics and breeding research. In The Wild Oryza Genomes (pp. 1-25). Springer, Cham. |
[30] | Parlange, F., Roffler, S., Menardo, F., Ben-David, R., Bourras, S., McNally, K. E., Oberhaensli, S., Stirnweis, D., Buchmann, G., Wicker, T. and Keller, B., 2015. Genetic and molecular characterization of a locus involved in avirulence of Blumeria graminis f. sp. tritici on wheat Pm3 resistance alleles. Fungal Genetics and Biology, 82, pp. 181-192. |
[31] | Lu, Q., 2011. Partial resistance to Fusarium head blight and powdery mildew in wheat. |
[32] | Ma, P., Xu, H., Han, G., Luo, Q., Xu, Y., Zhang, X., An, D., Li, L. and Sun, Y., 2016. Characterization of a Segregation Distortion Locus with Powdery Mildew Resistance in a Wheat-Thinopyrum intermedium Introgression Line WE99. Plant disease, 100 (8), pp. 1541-1547. |
[33] | Manyangarirwa, W., Turnbull, M., McCutcheon, G. S. and Smith, J. P., 2006. Gene pyramiding as a Bt resistance management strategy: How sustainable is this strategy? African Journal of Biotechnology, 5 (10). |
[34] | Tangtra kulwanich, K. and Reddy, G. V., 2014. Development of insect resistance to plant biopesticides: an overview. In Advances in plant biopesticides (pp. 47-62). Springer, New Delhi. |
[35] | Carrière, Y., Degain, B. A., Unnithan, G. C., Harpold, V. S., Heuberger, S., Li, X. and Tabashnik, B. E., 2018. Effects of seasonal changes in cotton plants on the evolution of resistance to pyramided cotton producing the Bt toxins Cry1Ac and Cry1F in Helicoverpa zea. Pest management science, 74 (3), pp. 627-637. |
[36] | Lüpken, T., Stein, N., Perovic, D., Habekuß, A., Krämer, I., Hähnel, U., Steuernagel, B., Scholz, U., Zhou, R., Ariyadasa, R. and Taudien, S., 2013. Genomics-based high-resolution mapping of the BaMMV/BaYMV resistance gene rym11 in barley (Hordeum vulgare L.). Theoretical and Applied Genetics, 126 (5), pp. 1201-1212. |
[37] | Ordon, F. and Kühne, T., 2014. Response to viral pathogens. In Biotechnological Approaches to Barley Improvement (pp. 181-196). Springer, Berlin, Heidelberg. |
[38] | Shi, A., Chen, P., Zheng, C., Hou, A. and Zhu, S., 2006, November. Gene Pyramiding for Soybean Mosaic Virus Resistance Using Microsatellite Markers. In 2006 International Meeting of ASA-CSSA-SSSA (Vol. 13). |
[39] | Liu, J. Z., Fang, Y. and Pang, H., 2016. The current status of the soybean-soybean mosaic virus (SMV) pathosystem. Frontiers in microbiology, 7, p. 1906. |
[40] | Ramteke, R., Gupta, G. K. and Sharma, S. K., 2015. Biology, Epidemiology, Resistance Genes, and Management of Soybean Mosaic Virus in Soybean (Glycine max (L.) Merrill). In Recent Advances in the Diagnosis and Management of Plant Diseases (pp. 163-174). Springer, New Delhi. |
[41] | Chawla, H., 2018. Introduction to Plant Biotechnology (3/e). CRC Press. |
[42] | Yang, J., Jiang, H., Yeh, C. T., Yu, J., Jeddeloh, J. A., Nettleton, D. and Schnable, P. S., 2015. Extreme-phenotype genome-wide association study (XP-GWAS): a method for identifying trait-associated variants by sequencing pools of individuals selected from a diversity panel. The Plant Journal, 84 (3), pp. 587-596. |
[43] | Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A. and Yang, J., 2017. 10 years of GWAS discovery: biology, function, and translation. The American Journal of Human Genetics, 101 (1), pp. 5-22. |
APA Style
Yitagesu Tadesse Demissie. (2019). Review on Plant Diseases Management Through Gene Pyramiding. International Journal of Photochemistry and Photobiology, 3(2), 15-20. https://doi.org/10.11648/j.ijpp.20190302.11
ACS Style
Yitagesu Tadesse Demissie. Review on Plant Diseases Management Through Gene Pyramiding. Int. J. Photochem. Photobiol. 2019, 3(2), 15-20. doi: 10.11648/j.ijpp.20190302.11
AMA Style
Yitagesu Tadesse Demissie. Review on Plant Diseases Management Through Gene Pyramiding. Int J Photochem Photobiol. 2019;3(2):15-20. doi: 10.11648/j.ijpp.20190302.11
@article{10.11648/j.ijpp.20190302.11, author = {Yitagesu Tadesse Demissie}, title = {Review on Plant Diseases Management Through Gene Pyramiding}, journal = {International Journal of Photochemistry and Photobiology}, volume = {3}, number = {2}, pages = {15-20}, doi = {10.11648/j.ijpp.20190302.11}, url = {https://doi.org/10.11648/j.ijpp.20190302.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijpp.20190302.11}, abstract = {Plant diseases have caused severe losses to humans in several ways. The goal of plant disease management is to reduce the economic and aesthetic damage caused by plant diseases. The main objective of this review was to understand about a gene pyramiding concepts with principles &application in disease management. Disease management procedures are frequently determined by disease forecasting or disease modeling rather than on either a calendar or prescription basis. Correct diagnosis of a disease is necessary to identify the pathogen, which is the real target of any disease management program. Improving disease resistance in crops is crucial for stable food production. Quantitative trait loci (QTLs), which usually have smaller individual effects than R-genes but confer broad-spectrum or non-race-specific resistance, can contribute to durable disease resistance (DR). Gene pyramiding holds greater prospects to attain durable resistance against biotic and abiotic stresses in crop. Agene pyramiding involves the use of several genes in a single cultivar to provide a wider base of disease resistance.}, year = {2019} }
TY - JOUR T1 - Review on Plant Diseases Management Through Gene Pyramiding AU - Yitagesu Tadesse Demissie Y1 - 2019/12/06 PY - 2019 N1 - https://doi.org/10.11648/j.ijpp.20190302.11 DO - 10.11648/j.ijpp.20190302.11 T2 - International Journal of Photochemistry and Photobiology JF - International Journal of Photochemistry and Photobiology JO - International Journal of Photochemistry and Photobiology SP - 15 EP - 20 PB - Science Publishing Group SN - 2640-429X UR - https://doi.org/10.11648/j.ijpp.20190302.11 AB - Plant diseases have caused severe losses to humans in several ways. The goal of plant disease management is to reduce the economic and aesthetic damage caused by plant diseases. The main objective of this review was to understand about a gene pyramiding concepts with principles &application in disease management. Disease management procedures are frequently determined by disease forecasting or disease modeling rather than on either a calendar or prescription basis. Correct diagnosis of a disease is necessary to identify the pathogen, which is the real target of any disease management program. Improving disease resistance in crops is crucial for stable food production. Quantitative trait loci (QTLs), which usually have smaller individual effects than R-genes but confer broad-spectrum or non-race-specific resistance, can contribute to durable disease resistance (DR). Gene pyramiding holds greater prospects to attain durable resistance against biotic and abiotic stresses in crop. Agene pyramiding involves the use of several genes in a single cultivar to provide a wider base of disease resistance. VL - 3 IS - 2 ER -