Predicting the future for biodiversity
Conservation biology is frequently referred to as a “crisis discipline“, a status which doesn’t appear to be changing any time soon. Like any response to a crisis, biologists of all walks of life operate under a prioritisation scheme – how can our finite resources be best utilised to save as much biodiversity as possible? This approach requires some knowledge of both current vulnerability and future threat – we need to focus our efforts on those populations and species which are most at-risk of extinction in the near (often immediate) future.
Of alleles and selection
If you’ve read this blog more than once before, you’re probably sick of hearing about how genetic variation underlies adaptation. It’s probably the most central theme of this blog, and similarly one of the biggest components of contemporary biology. We’ve talked about different types of selection; different types of genes; different ways genes and selection can interact. And believe it or not, there’s still heaps to talk about! Continue reading
The nature of phylogeography
Studying the interaction of environmental changes and species evolution is a critical component for predicting how species might – or might not – respond to new environmental stressors induced by climate change. We can study this at a variety of different levels and using many different data types, ranging from ‘traditional’ ecological studies which correlate phenotypic changes and environment to more narrower studies of ecological genetics and how allelic frequencies change in association with environmental gradients.
The fundamentals of population genetics
Many times in the past, we’ve discussed the importance of genetic diversity within populations as a foundation for adaptation and evolution. It includes both adaptive variation (which encompasses genetic variation directly under natural selection), as well as neutral variation (which is predominantly generated and maintained by non-selective forces such as demographic history and genetic drift). This pool of genetic variation acts as the underlying architecture for evolution by natural selection, and is a critically important component for future and ongoing evolution.
This all sounds important from an academic perspective: that population genetics can reveal a significant amount of information about the processes and outcomes of evolution and provide novel insights into concepts that have been around for ages. But how can this information be applied to real scenarios? With the ever-growing availability of massive genetic datasets for an increasing number of species, the sheer volume of information in existence that can be used is monumental.
Beyond mutations in the genome
Although genetic variation is, in itself, often considered to be one of the fundamental underpinnings of adaptation by natural selection, it can appear through a number of different forms. Typically, we think of genetic variation in terms of individual mutations at a single site (referred to as ‘single nucleotide polymorphisms’, or SNPs), which may vary in frequency across a population or species in response to selective pressures. However, we’ve also discussed some other types of genetic-related variation within The G-CAT before, such as differential gene expression or epigenetic markers.