Professor Segal's research has two major directions 1) Gene regulation — using quantitative and computational models to understand how DNA sequence variation among human individuals
generates phenotypic diversity 2) Microbiome and Nutrition — understanding how the microbial composition of individuals affect their physiology and health.
Our findings show that sex can
generate phenotypic and genotypic diversity de novo in the pathogenic yeast C. neoformans with implications for other eukaryotic microbes and pathogens, including other fungi and parasites that are common pathogens of humans.
Aneuploidy was also detected in progeny from a-α opposite - sex congenic mating; thus, both homothallic and heterothallic sexual reproduction can
generate phenotypic diversity de novo.
Not exact matches
To test this hypothesis, we isolated progeny
generated via selfing α - α unisexual reproduction and subjected them to
phenotypic and genotypic analyses.
Among 90 isolates
generated from the selfing of this α + SXI2a self - fertile strain, seven strains exhibited
phenotypic changes compared to the parental strain (Figure S14).
It combines the capacity of
generating genetically engineered mouse model on a large scale with a high - throughput and comprehensive
phenotypic analysis of the animals.
The project will also benefit from the RD - Connect Genome - Phenome Analysis Platform developed at CNAG - CRG; in this case, it will be used to collate existing and newly
generated genomic and
phenotypic data.
From 2008 - 2010, he was supported by the CGGH to study
phenotypic variation in the drug sensitivity of Plasmodium falciparum isolates collected Kilifi District, and to investigate genotype - phenotype associations using genome sequencing data
generated on these isolates at the Wellcome Trust Sanger Institute.
The CNAG - CRG hosts the RD - Connect Genome - Phenome Analysis Platform (https://platform.rd-connect.eu), which will be used in SOLVE - RD to collate existing and newly
generated genomic and
phenotypic data.