Progress 10/01/15 to 09/30/16
Outputs Target Audience:
Nothing Reported
Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Training of lab technician, Heather Costa, in use of picarro isotope analyzer How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?Continue analysis of samples
Impacts What was accomplished under these goals?
Carbon Stable Isotope Analysis using CM-CRDS Picarro System Insect samples for isotope analysis that were collected from the field and/or reared in the laboratory were received and processed for Carbon isotope signature analysis using the Picarro CM-CRDS system. Since the last report, more than 500 samples of insect and plant tissue have been processed using the Picarro System. The results have been entered into a database, and are currently being statistically analyzed. The following table shows the samples processed since the last report. Fatty acid analysis for determining host origin We previously reported that Fatty acid fingerprint analysis of wild Mexican Fruit fly (Mexfly), Anastrepha ludens, subsequently reared from guava, mango, or sugarcane bagasse artificial diet showed clear differences between fly types. This suggests this method could be a useful tool in determining the host origin of the flies caught on the traps. Given that there are a number of laboratories that have GC-FID equipment for fatty acid analysis as opposed to the rarer Py-GCMS systems which we initially envisaged that we conduct the project on, we decided that we should develop a simple, fast and reliable method for fatty acid extraction and analysis for insects as opposed to concentrating on the Py-GCMS method. We will, however, continue to compare data to the Py-GCMS data. We have streamlined the fatty acid methodology to take advantage of a number of developments in laboratory equipment e.g. tabletop centrifuges and the availability of chemical resistant micro-centrifuge tubes etc. Given that we have a wealth of fatty acid analysis expertise available at AIT we thought it best to draw on this expertise to develop a simple to implement, universally applicable method of FA extraction, which can be conducted in less than 24 hours. The new method we have established has changed to more commercially available reagents, has less transfer steps, and the method is simpler to carry out without error. The data shown below demonstrate that it is possible to distinguish the different flies depending on the diets they consumed, and it is clear that we have dietary routing. This can be confirmed irrespective of the method used to analyze the patterns. From these data it can be shown that the two methods of fatty acid extraction yield independently valid, but incomparable results. This is a consequence of the annotation of the different fatty acids by the two different systems, as we used different CG columns and injection temperatures. Although we use standards throughout both methods, one method is driven by library annotation and the other is driven by standard comparison. Because each system uses different columns with different retention times, a fatty acid may appear as a single variant in one system but chromatographically separate into two distinct fatty acids in the other system, added to this is the problem of cis-trans isomers. This makes cross comparison difficult and results in loss of information if one standardizes back to of the other methods. We will attempt to overcome this by sending a sample of our lab standard to the Linz laboratory and standardizing back to that this should allow us to make a rigorous comparison. The new Fatty acid extraction method for the GC-FID proved robust and simple to implement. We can now easily analyze over 20 samples per day, with a one-day analysis time. We need to further determine our detection limits of the new extraction system. However, all insect samples submitted have been prepared and analyzed, we still need to run isotope and FA analysis on the diets but we had put this off until we had the method extraction established as it is not a trivial task and there was minimal sample. See guiding operational procedure. All the Py-GC MS samples have been analyzed and we are slowly going through the procedure of standardization and data analysis.
Publications
|
Progress 10/01/14 to 09/30/15
Outputs Target Audience:
Nothing Reported
Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?This project provided training for a technician, Heather Costa, in the use of the Picarro carbon stable isotope analyzer. How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?Goal 1: Develop and test stable isotopic methods for identification of sterile (mass reared) insects for possible inclusion into PPQ sterile insect release programs. Test Objective 1) Determine isotopic differences for carbon, nitrogen, sulfur and non-exchangeable deuterium between wild and mass-reared insects for Medfly, Mexfly and LBAM as a model insect using both IRMS mass-spec and the Picarro machine for carbon isotopes. Test Objective 2) For carbon isotopes, determine the minimum sample mass needed and optimal body part (e.g., leg, wing, abdomen, and thorax) for reliable and repeatable stable isotope analysis using both the Picarro and IRMS machines for isotope analysis for wild and mass-reared insects for Medfly, Mexfly, and LBAM. Test Objective 3) Determine factors that may influence reliability of stable isotope signal, insect age and dispersal, adult feeding, trap glue type. Test Objective 4) Determine if deuterium and other isotope signals can be used to identify the provenance of Asian gypsy moth eggs collected on container ships arriving at US ports and determine if there are unique isotopic signatures associated with specific ports or countries. Goal 2: Develop stable isotope and fatty acid analysis tools for determining invasive pest origin and natal host. Test Objective 5) Determine the specificity of using individual insect fatty acid analysis for identifying natal host crop species for oriental fruit fly, Lobesia botrana, Medfly, Mexfly, PBW and LBAM. Test Objective 6) Combine results from isotope analysis and fatty acid signature analysis using Bayesian statistical methods for development of simple identification of the most probable natal host species and locations. Test Objective 7) Develop a protocol for use of stable isotope tools and fatty acid analysis methods for determination of wild vs. sterile insects and natal host origin for APHIS program pests: PBW, Medfly, Mexfly, oriental fruit fly, LBAM and Lobesia botrana.
Impacts What was accomplished under these goals?
Carbon Stable Isotope Analysis using CM-CRDS Picarro System Insect samples for isotope analysis that were collected from the field and/or reared in the laboratory were received and processed for Carbon isotope signature analysis using the Picarro CM-CRDS system. Since the last report, more than 500 samples of insect and plant tissue have been processed using the Picarro System. The results have been entered into a database, and are currently being statistically analyzed. The following table shows the samples processed since the last report. 2)Fatty acid analysis for determining host origin We previously reported that Fatty acid fingerprint analysis of wild Mexican Fruit fly (Mexfly), Anastrepha ludens, subsequently reared from guava, mango, or sugarcane bagasse artificial diet showed clear differences between fly types. This suggests this method could be a useful tool in determining the host origin of the flies caught on the traps. Given that there are a number of laboratories that have GC-FID equipment for fatty acid analysis as opposed to the rarer Py-GCMS systems which we initially envisaged that we conduct the project on, we decided that we should develop a simple, fast and reliable method for fatty acid extraction and analysis for insects as opposed to concentrating on the Py-GCMS method. We will, however, continue to compare data to the Py-GCMS data. We have streamlined the fatty acid methodology to take advantage of a number of developments in laboratory equipment e.g. tabletop centrifuges and the availability of chemical resistant micro-centrifuge tubes etc. Given that we have a wealth of fatty acid analysis expertise available at AIT we thought it best to draw on this expertise to develop a simple to implement, universally applicable method of FA extraction, which can be conducted in less than 24 hours. The new method we have established has changed to more commercially available reagents, has less transfer steps, and the method is simpler to carry out without error. The data shown below demonstrate that it is possible to distinguish the different flies depending on the diets they consumed, and is it is clear that we have dietary routing. This can be confirmed irrespective of the method used to analyze the patterns. From these data it can be shown that the two methods of fatty acid extraction yield independently valid, but incomparable results. This is a consequence of the annotation of the different fatty acids by the two different systems, as we used different CG columns and injection temperatures. Although we use standards throughout both methods, one method is driven by library annotation and the other is driven by standard comparison. Because each system uses different columns with different retention times, a fatty acid may appear as a single variant in one system but chromatographically separate into two distinct fatty acids in the other system, added to this is the problem of cis-trans isomers. This makes cross comparison difficult and results in loss of information if one standardizes back to of the other methods. We will attempt to overcome this by sending a sample of our lab standard to the Linz laboratory and standardizing back to that this should allow us to make a rigorous comparison. The new Fatty acid extraction method for the GC-FID proved robust and simple to implement. We can now easily analyze over 20 samples per day, with a one-day analysis time. We need to further determine our detection limits of the new extraction system. However all insect samples submitted have been prepared and analyzed, we still need to run isotope and FA analysis on the diets but we had put this off until we had the method extraction established as it is not a trivial task and there was minimal sample . See guiding operational procedure. All the Py-GC MS samples have been analyzed and we are slowly going through the procedure of standardization and data analysis.
Publications
- Type:
Journal Articles
Status:
Awaiting Publication
Year Published:
2016
Citation:
Hood-Nowotny, R., L. Mayr, J. Heindler, N. Saad, R. Seth, G. Davidowitz, G. Simmons. (2016). Insect isotope analysis using cavity ring-down spectroscopy: Moving towards incorporating isotope analysis into area-wide management program. Florida Entomologist (in press).
|