Guiyun Yan

Evolutionary Biology and Ecology of Host-parasite Interactions; Insect Genomics

Associate Professor

PhD 1994 University of Vermont
Postdoctoral work:1997 University of Wisconsin-Madison
Scientist 1997International Center of Insect Physiology and Ecology
Assistant Professor 1997 University at Buffalo

Associate Professor 2002


Address Information

Guiyun Yan
Department of Biological Sciences
219 Hochstetter Hall
State University of New York at Buffalo
Buffalo, NY 14260

(716) 645-2363 ext: 121

To send e-mail: gyan@acsu.buffalo.edu


Dr. Yan's Lab Page


Postdoc Positions Available


RESEARCH SUMMARY

My research concentrates on malaria epidemiology, population ecology and genetics of African malaria vectors, and molecular genetics of vector competence. The long-term research goal is to develop novel and cost-effective malaria control methods. Contemporary molecular biology techniques, geographic information system/remote sensing technologies, and spatial statistical analyses are integrated into my research program. Another area of interest is the evolutionary biology of host resistance to parasitism.


SELECTED PROJECTS

1. Ecology of African Highland Malaria

The objective is to examine the mechanisms leading to the resurgence of malaria in African high-elevation areas. Our hypothesis is that malaria epidemics in the highlands arise because together with global climate changes, landuse changes have also altered the microhabitats and microclimatic conditions of vector mosquitoes and the malaria parasite, making local malaria transmission possible in previously unsuitable areas. In collaboration with the Kenya Medical Research Institute, we are examining how landuse affects mosquito microhabitats and microclimatic conditions and determining whether changes in mosquito habitats and microclimatic conditions increase mosquito vectorial capacity. We will develop and validate spatially explicit malaria transmission models.


2. Population Ecology and Genetics of African Malaria Vectors

The goal of is to determine the distribution patterns of malaria vectors in East Africa and the underlying ecological factors that influence the spatial heterogeneity of mosquito distribution at the species and the gene level. Molecular biology, geographic information system and remote sensing technology are integrated with field mosquito ecology studies to determine the association of environmental factors and malaria vector species distribution and genetic variants. Our study examines 3 major malaria vector species, Anopheles gambiae, An. arabiensis and An. funestus.


3. Genetics of Mosquito Refractoriness to Malaria Parasites

The goal is to identify, isolate and characterize the genes that determine mosquito vector competence for malaria parasites, and to apply the information to develop new malaria control methods applicable in the field. We use Aedes aegypti/Plasmodium gallinaceum as a model system to investigate the genetic and physiological basis of mosquito refractoriness. Refractoriness is a naturally occurring phenomenon in which mosquitoes inhibit Plasmodium oocyst formation. We are using molecular and ecological experiments, and bioinformatics to: (1) conduct high-resolution quantitative trait loci (QTL) mapping to better define the genome regions that contain P. gallinaceum-refractory genes and to identify candidate genes through whole-genome expression analysis, (2) characterize the physiological basis of refractoriness with particular emphasis on the mosquito midgut barrier, and (3) determine the genetic association between refractoriness and mosquito fitness.


4. Evolutionary Genetics of Host Resistance to Parasitism

Many parasites, including some protozoans, nematodes, trematodes, cestodes and all acanthocephalans, require intermediate hosts to complete their life cycles, but there is virtually no knowledge on the evolution of life history of this type parasites. This project will determine the genetic basis of beetle resistance to a tapeworm parasite and test whether the evolution of resistance is constrained by fitness costs associated with resistance, using the red flour beetle and tapeworm parasite as a model system.


A section of Aedes aegypti mosquito midgut specific cDNA array. The green color represents genes up-regulated in Plasmodium gallinaceum susceptible strains.


PUBLICATIONS


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