Population Genomics
Population Genomics - Related Videos
08:31
Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'
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Cited by 2 •
2013
Single Virus Genomics (SVG) is a method to isolate and amplify the genomes of single virons. Viral suspensions of a mixed assemblage are sorted using flow cytometry onto a microscope slide with discrete wells containing agarose, thereby capturing the virion and reducing genome shearing during downstream processing. Whole genome amplification is achieved using multiple displacement amplification (MDA) resulting in genomic material that is suitable for sequencing.
02:02
Genomics
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2020
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
08:03
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Cited by 2 •
2021
This analytical computational platform provides practical guidance for microbiologists, ecologists, and epidemiologists interested in bacterial population genomics. Specifically, the work presented here demonstrated how to perform: i) phylogeny-guided mapping of hierarchical genotypes; ii) frequency-based analysis of genotypes; iii) kinship and clonality analyses; iv) identification of lineage differentiating accessory loci.
14:47
Population Growth - Student Protocol
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2019
Exponential Population Growth Model ExpandNOTE: In these experiments you will use computer software to simulate different types of growth models. HYPOTHESES: The experimental hypothesis might be that if we increase either R, the reproductive rate or the initial population size, NT, that this will increase the population size after 10 generations in an exponential growth model compared to unmanipulated control populations. The null hypothesis may be that populations of different R and initial...
04:45
Population Growth - Concepts
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2019
Population Models An ecological population is a group of individuals of a single species living in an area at the same time. To persist, a population must either grow or maintain its size. Population ecology is the study of how population size and age distribution change over time through interactions with other species and the environment as well as with individuals of their own species. A particularly important feature that is studied by ecologists is the rate at which a population grows or...
FAQs
These processes leave different influences on genome-wide variation. Mutation introduces differences, recombination reshuffles them, migration connects populations, and demographic change alters their distribution through population history. Natural selection can increase variation associated with advantageous traits or reduce variation that is unfavorable. Comparing these patterns helps researchers interpret evolutionary relationships and adaptation.
Genome-wide comparisons provide a broader view of variation across individuals and populations than small genetic surveys. This expanded scale can reveal patterns distributed across the genome, including regions associated with adaptation and signals shaped by demographic history. High-throughput sequencing and computational analysis make these large comparisons possible in modern biological research.
Researchers compare genome-wide DNA sequences or genotypes among populations and examine whether particular regions show patterns connected with environmental or evolutionary differences. Regions that vary in ways consistent with population-specific adaptation can then be identified for further interpretation. This approach links molecular variation with environmental processes rather than considering genetic differences in isolation.
A study begins by collecting many samples from the individuals or populations being compared. Researchers then obtain DNA sequences or genotypes, organize the resulting genome-wide data, and use computational analyses to compare patterns of variation. The final interpretation connects those patterns with population relationships, evolutionary history, adaptation, migration, or demographic change.
It is useful when researchers need to compare many individuals across populations and infer how their genetic patterns relate to population history. Genome-wide data can reveal shared or differing variation that informs population relationships, while computational comparisons help organize those signals. In biology, this supports broader interpretations of evolutionary history than isolated observations can provide.
In conservation, genome-wide comparisons can help assess genetic diversity, an important indication of variation within and among populations. In disease research, the same broad analytical framework can connect genetic variation with population-level patterns relevant to disease investigations. These applications extend population genomics beyond evolutionary reconstruction to biological questions with practical research significance.