The internet-based fungal pathogen database: A proposed model

Seogchan Kang, John E. Ayers, Erick D. DeWolf, David Michael Geiser, Gretchen Anna Kuldau, Gary W. Moorman, Ewen Mullins, Wakar Uddin, James C. Correll, Gerald Deckert, Yong Hwan Lee, Yin Won Lee, Frank N. Martin, Krishna Subbarao

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A better understanding of the phenotypic and genetic diversity of significant agricultural pathogens and how their populations change in the field is critical for designing successful, long-term disease management strategies. Although efforts to determine the genetic diversity of plant pathogens have substantially increased in recent years, mainly due to the availability of various molecular tools, complementary efforts to archive and integrate the resulting data have been very limited. As a consequence, it is often difficult to compare the available data from various laboratories because the data have been generated by diverse tools, often preventing any direct comparisons, and are saved in a format that is unsuitable for comparative studies. The establishment of an internet-based database that cross-links the digitized genotypic and phenotypic information of individual pathogens at both the species and population levels may allow us to effectively address these problems by coordinating the generation of data and its subsequent archiving. We discuss the needs, benefits, and potential structure of such a database.

Original languageEnglish (US)
Pages (from-to)232-236
Number of pages5
JournalPHYTOPATHOLOGY
Volume92
Issue number3
DOIs
StatePublished - Jan 1 2002

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genetic variation
pathogens
plant pathogens
disease control

All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Plant Science

Cite this

Kang, Seogchan ; Ayers, John E. ; DeWolf, Erick D. ; Geiser, David Michael ; Kuldau, Gretchen Anna ; Moorman, Gary W. ; Mullins, Ewen ; Uddin, Wakar ; Correll, James C. ; Deckert, Gerald ; Lee, Yong Hwan ; Lee, Yin Won ; Martin, Frank N. ; Subbarao, Krishna. / The internet-based fungal pathogen database : A proposed model. In: PHYTOPATHOLOGY. 2002 ; Vol. 92, No. 3. pp. 232-236.
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Kang, S, Ayers, JE, DeWolf, ED, Geiser, DM, Kuldau, GA, Moorman, GW, Mullins, E, Uddin, W, Correll, JC, Deckert, G, Lee, YH, Lee, YW, Martin, FN & Subbarao, K 2002, 'The internet-based fungal pathogen database: A proposed model', PHYTOPATHOLOGY, vol. 92, no. 3, pp. 232-236. https://doi.org/10.1094/PHYTO.2002.92.3.232

The internet-based fungal pathogen database : A proposed model. / Kang, Seogchan; Ayers, John E.; DeWolf, Erick D.; Geiser, David Michael; Kuldau, Gretchen Anna; Moorman, Gary W.; Mullins, Ewen; Uddin, Wakar; Correll, James C.; Deckert, Gerald; Lee, Yong Hwan; Lee, Yin Won; Martin, Frank N.; Subbarao, Krishna.

In: PHYTOPATHOLOGY, Vol. 92, No. 3, 01.01.2002, p. 232-236.

Research output: Contribution to journalArticle

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AU - Kang, Seogchan

AU - Ayers, John E.

AU - DeWolf, Erick D.

AU - Geiser, David Michael

AU - Kuldau, Gretchen Anna

AU - Moorman, Gary W.

AU - Mullins, Ewen

AU - Uddin, Wakar

AU - Correll, James C.

AU - Deckert, Gerald

AU - Lee, Yong Hwan

AU - Lee, Yin Won

AU - Martin, Frank N.

AU - Subbarao, Krishna

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AB - A better understanding of the phenotypic and genetic diversity of significant agricultural pathogens and how their populations change in the field is critical for designing successful, long-term disease management strategies. Although efforts to determine the genetic diversity of plant pathogens have substantially increased in recent years, mainly due to the availability of various molecular tools, complementary efforts to archive and integrate the resulting data have been very limited. As a consequence, it is often difficult to compare the available data from various laboratories because the data have been generated by diverse tools, often preventing any direct comparisons, and are saved in a format that is unsuitable for comparative studies. The establishment of an internet-based database that cross-links the digitized genotypic and phenotypic information of individual pathogens at both the species and population levels may allow us to effectively address these problems by coordinating the generation of data and its subsequent archiving. We discuss the needs, benefits, and potential structure of such a database.

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