Using FAME analysis to compare, differentiate, and identify multiple nematode species

We have adapted the Sherlock(®) Microbial Identification system for identification of plant parasitic nematodes based on their fatty acid profiles. Fatty acid profiles of 12 separate plant parasitic nematode species have been determined using this system. Additionally, separate profiles have been de...

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Bibliographische Detailangaben
Veröffentlicht in:Journal of nematology. - 1969. - 41(2009), 3 vom: 01. Sept., Seite 163-73
1. Verfasser: Sekora, Nicholas S (VerfasserIn)
Weitere Verfasser: Lawrence, Kathy S, Agudelo, Paula, van Santen, Edzard, McInroy, John A
Format: Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:Journal of nematology
Schlagworte:Journal Article FAME analysis Heterodera glycines Meloidogyne arenaria Meloidogyne hapla Meloidogyne incognita Meloidogyne javanica Meloidogyne spp. Rotylenchulus reniformis biochemistry identification
Beschreibung
Zusammenfassung:We have adapted the Sherlock(®) Microbial Identification system for identification of plant parasitic nematodes based on their fatty acid profiles. Fatty acid profiles of 12 separate plant parasitic nematode species have been determined using this system. Additionally, separate profiles have been developed for Rotylenchulus reniformis and Meloidogyne incognita based on their host plant, four species and three races within the Meloidogyne genus, and three life stages of Heterodera glycines. Statistically, 85% of these profiles can be delimited from one another; the specific comparisons between the cyst and vermiform stages of H. glycines, M. hapla and M. arenaria, and M. arenaria and M. javanica cannot be segregated using canonical analysis. By incorporating each of these fatty acid profiles into the Sherlock(®) Analysis Software, 20 library entries were created. While there was some similarity among profiles, all entries correctly identified the proper organism to genus, species, race, life stage, and host at greater than 86% accuracy. The remaining 14% were correctly identified to genus, although species and race may not be correct due to the underlying variables of host or life stage. These results are promising and indicate that this library could be used for diagnostics labs to increase response time
Beschreibung:Date Completed 05.06.2013
Date Revised 21.10.2021
published: Print
Citation Status PubMed-not-MEDLINE
ISSN:2640-396X