Dataset Information

Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance.

ABSTRACT: Vector-borne disease control relies on efficient vector surveillance, mostly carried out using traps whose number and locations are often determined by expert opinion rather than a rigorous quantitative sampling design. In this work we propose a framework for ecological sampling design which in its preliminary stages can take into account environmental conditions obtained from open data (i.e. remote sensing and meteorological stations) not necessarily designed for ecological analysis. These environmental data are used to delimit the area into ecologically homogeneous strata. By employing Bayesian statistics within a model-based sampling design, the traps are deployed among the strata using a mixture of random and grid locations which allows balancing predictions and model-fitting accuracies. Sample sizes and the effect of ecological strata on sample sizes are estimated from previous mosquito sampling campaigns open data. Notably, we found that a configuration of 30 locations with four households each (120 samples) will have a similar accuracy in the predictions of mosquito abundance as 200 random samples. In addition, we show that random sampling independently from ecological strata, produces biased estimates of the mosquito abundance. Finally, we propose standardizing reporting of sampling designs to allow transparency and repetition/re-use in subsequent sampling campaigns.

SUBMITTER: Sedda L

PROVIDER: S-EPMC6505554 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance.

Sedda Luigi L Lucas Eric R ER Djogbénou Luc S LS Edi Ako V C AVC Egyir-Yawson Alexander A Kabula Bilali I BI Midega Janet J Ochomo Eric E Weetman David D Donnelly Martin J MJ

Journal of the Royal Society, Interface 20190401 153

Vector-borne disease control relies on efficient vector surveillance, mostly carried out using traps whose number and locations are often determined by expert opinion rather than a rigorous quantitative sampling design. In this work we propose a framework for ecological sampling design which in its preliminary stages can take into account environmental conditions obtained from open data (i.e. remote sensing and meteorological stations) not necessarily designed for ecological analysis. These envi ...[more]

PMID: 30966952

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Project description:The analysis of transcriptomes is well-established and increasingly affordable in studies at the interface of ecology and evolution. Expression analysis of thousands of genes in parallel reveals functions and pathways involved in relevant phenotypic differentiation. The application of such methods typically involves the sacrifice of the analysed organisms, which is potentially subject to ethical and legal constraints. As an alternative to lethal sampling, transcriptome analyses can be performed using small biopsies of dispensable tissues. It has to be verified, however, to what extent such results are representative of the whole organism. Here, we use a custom microarray to compare transcriptomes of tail-clip samples with those of the remaining whole-body of fire salamander larvae (Salamandra salamandra). The microarray was calibrated using target RNA to validate the performance of each probe. We varied water temperature to test whether the thermal response in gene expression can be characterized in both types of sample. A large fraction (51 %) of the differentially expressed genes showed parallel changes for both tail clips and whole bodies in response to temperature. While sets of differentially expressed were not identical, they largely belonged to the same functional categories. The gene functions thus revealed a common thermal response of larvae irrespective of the sampled tissue. This included an overexpression of mitochondrial transcripts, an expected thermal acclimatization response of ectotherms. Hence, ecological transcriptomics based on small biopsies represent an alternative to the analysis of lethally sampled tissues in situations where the sacrifice of individuals is not an option. Larvae of European Fire salamander were exposed to two different temperatures (9°C & 17°C; n(cold) = 6, n(warm) = 6, n(total) = 12). The transcriptome response to temperature was assessed based on RNA extracted from tail tips, which can be sampled without sacrificing the individual, and based on RNA extracted from the remaining whole body. Results from the analysis of both tissues were compared.

Dataset Information

Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance.

Publications

Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance.

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