Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure
Given that older <i>Aedes aegypti</i> (L.) mosquitoes typically pose the greatest risk of pathogen transmission, the capacity to age grade wild <i>Ae. aegypti</i> mosquito populations would be a valuable tool in monitoring the potential risk of arboviral transmission. Here, w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Insects |
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| Online Access: | https://www.mdpi.com/2075-4450/13/4/360 |
| _version_ | 1827600281602359296 |
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| author | Teresa Joy Minhao Chen Joshua Arnbrister Daniel Williamson Shujuan Li Shakunthala Nair Maureen Brophy Valerie Madera Garcia Kathleen Walker Kacey Ernst Dawn H. Gouge Yves Carrière Michael A. Riehle |
| author_facet | Teresa Joy Minhao Chen Joshua Arnbrister Daniel Williamson Shujuan Li Shakunthala Nair Maureen Brophy Valerie Madera Garcia Kathleen Walker Kacey Ernst Dawn H. Gouge Yves Carrière Michael A. Riehle |
| author_sort | Teresa Joy |
| collection | DOAJ |
| description | Given that older <i>Aedes aegypti</i> (L.) mosquitoes typically pose the greatest risk of pathogen transmission, the capacity to age grade wild <i>Ae. aegypti</i> mosquito populations would be a valuable tool in monitoring the potential risk of arboviral transmission. Here, we compared the effectiveness of near-infrared spectroscopy (NIRS) to age grade field-collected <i>Ae. aegypti</i> with two alternative techniques—parity analysis and transcript abundance of the age-associated gene <i>SCP1</i>. Using lab-reared mosquitoes of known ages from three distinct populations maintained as adults under laboratory or semi-field conditions, we developed and validated four NIRS models for predicting the age of field-collected <i>Ae. aegypti</i>. To assess the accuracy of these models, female <i>Ae. aegypti</i> mosquitoes were collected from Maricopa County, AZ, during the 2017 and 2018 monsoon season, and a subset were age graded using the three different age-grading techniques. For both years, each of the four NIRS models consistently graded parous mosquitoes as significantly older than nulliparous mosquitoes. Furthermore, a significant positive linear association occurred between <i>SCP1</i> and NIRS age predictions in seven of the eight year/model combinations, although considerable variation in the predicted age of individual mosquitoes was observed. Our results suggest that although the NIRS models were not adequate in determining the age of individual field-collected mosquitoes, they have the potential to quickly and cost effectively track changes in the age structure of <i>Ae. aegypti</i> populations across locations and over time. |
| first_indexed | 2024-03-09T04:33:55Z |
| format | Article |
| id | doaj.art-6125f84201a148c585459745d200bf70 |
| institution | Directory Open Access Journal |
| issn | 2075-4450 |
| language | English |
| last_indexed | 2024-03-09T04:33:55Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Insects |
| spelling | doaj.art-6125f84201a148c585459745d200bf702023-12-03T13:32:11ZengMDPI AGInsects2075-44502022-04-0113436010.3390/insects13040360Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age StructureTeresa Joy0Minhao Chen1Joshua Arnbrister2Daniel Williamson3Shujuan Li4Shakunthala Nair5Maureen Brophy6Valerie Madera Garcia7Kathleen Walker8Kacey Ernst9Dawn H. Gouge10Yves Carrière11Michael A. Riehle12Department of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USADepartment of Entomology, University of Arizona, Tucson, AZ 85721, USAGiven that older <i>Aedes aegypti</i> (L.) mosquitoes typically pose the greatest risk of pathogen transmission, the capacity to age grade wild <i>Ae. aegypti</i> mosquito populations would be a valuable tool in monitoring the potential risk of arboviral transmission. Here, we compared the effectiveness of near-infrared spectroscopy (NIRS) to age grade field-collected <i>Ae. aegypti</i> with two alternative techniques—parity analysis and transcript abundance of the age-associated gene <i>SCP1</i>. Using lab-reared mosquitoes of known ages from three distinct populations maintained as adults under laboratory or semi-field conditions, we developed and validated four NIRS models for predicting the age of field-collected <i>Ae. aegypti</i>. To assess the accuracy of these models, female <i>Ae. aegypti</i> mosquitoes were collected from Maricopa County, AZ, during the 2017 and 2018 monsoon season, and a subset were age graded using the three different age-grading techniques. For both years, each of the four NIRS models consistently graded parous mosquitoes as significantly older than nulliparous mosquitoes. Furthermore, a significant positive linear association occurred between <i>SCP1</i> and NIRS age predictions in seven of the eight year/model combinations, although considerable variation in the predicted age of individual mosquitoes was observed. Our results suggest that although the NIRS models were not adequate in determining the age of individual field-collected mosquitoes, they have the potential to quickly and cost effectively track changes in the age structure of <i>Ae. aegypti</i> populations across locations and over time.https://www.mdpi.com/2075-4450/13/4/360NIRSagingmosquitoparitySCP1Sonoran |
| spellingShingle | Teresa Joy Minhao Chen Joshua Arnbrister Daniel Williamson Shujuan Li Shakunthala Nair Maureen Brophy Valerie Madera Garcia Kathleen Walker Kacey Ernst Dawn H. Gouge Yves Carrière Michael A. Riehle Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure Insects NIRS aging mosquito parity SCP1 Sonoran |
| title | Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure |
| title_full | Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure |
| title_fullStr | Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure |
| title_full_unstemmed | Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure |
| title_short | Assessing Near-Infrared Spectroscopy (NIRS) for Evaluation of <i>Aedes aegypti</i> Population Age Structure |
| title_sort | assessing near infrared spectroscopy nirs for evaluation of i aedes aegypti i population age structure |
| topic | NIRS aging mosquito parity SCP1 Sonoran |
| url | https://www.mdpi.com/2075-4450/13/4/360 |
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