ABSTRACT
In fragmented landscapes, small populations frequently go extinct and new ones are established with poorly understood consequences for genetic diversity and evolution of life history traits. Here, we apply functional genomic tools to an ecological model system, the well-studied metapopulation of the Glanville fritillary butterfly. We investigate how dispersal and colonization select upon existing genetic variation affecting life history traits by comparing common-garden reared 2-day adult females from new populations with those from established older populations. New-population females had higher expression of abdomen genes involved in egg provisioning and thorax genes involved in the maintenance of flight muscle proteins. Physiological studies confirmed that new-population butterflies have accelerated egg maturation, apparently regulated by higher juvenile hormone titer and angiotensin converting enzyme mRNA, as well as enhanced flight metabolism. Gene expression varied between allelic forms of two metabolic genes (Pgi and Sdhd), which themselves were associated with differences in flight metabolic rate, population age and population growth rate. These results identify likely molecular mechanisms underpinning life history variation that is maintained by extinction-colonization dynamics in metapopulations.
Subject(s)
Butterflies/genetics , Butterflies/metabolism , Energy Metabolism , Animals , Butterflies/physiology , Cytochrome P-450 Enzyme System/genetics , Ecosystem , Female , Flight, Animal , Gene Expression , Genetic Variation , Genomics , Glucose-6-Phosphate Isomerase/genetics , Glucose-6-Phosphate Isomerase/metabolism , Intramolecular Oxidoreductases/genetics , Juvenile Hormones/genetics , Juvenile Hormones/physiology , Peptidyl-Dipeptidase A/genetics , Population Dynamics , Succinate Dehydrogenase/genetics , Succinate Dehydrogenase/metabolismABSTRACT
Little is known about the genomic alterations underlying osteosarcoma. We performed a genomewide high-resolution gene copy number analysis of 22 osteosarcoma samples using comparative genomic hybridization on a cDNA microarray that contained cDNA clones of about 13,000 genes. Nineteen of the 22 cases had amplifications that on average spanned more than 1 Mb and contained more than 10 genes. Numerous regions of gain and loss were identified, and their boundaries were defined at high resolution. Novel amplicons were found at 14q11, 17q25, and 22q11-q13. Earlier-known large amplified regions were detected at 12q11-q15, 8q24, 6p12-p13, and 17p11-p13 in 8, 6, 5, and 4 of the 22 samples, respectively. Amplification of 12q was observed more frequently (36% of the cases) than previously reported. Previously known small amplicons at 1p34-p36, 1q21, 19q13, and 21q22 were seen in at least three cases. Our results implicate TOM1L2 and CYP27B1 as having roles as novel targets for the 17p and 12q amplicons, respectively. Details (www.helsinki.fi/cmg) of the amplified genes in each amplicon provide valuable raw data for further in silico studies.
