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Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Conservation of Small Populations

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...

What is Population Genetics?

What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.

Genetic Variation

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).

Hardy-Weinberg Principle

Hardy-Weinberg Principle

Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.

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Related Experiment Video

Updated: Feb 21, 2026

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

Fine-Scale Genetic Structure in Finland.

Sini Kerminen¹, Aki S Havulinna^1,2, Garrett Hellenthal³

¹Institute for Molecular Medicine Finland, University of Helsinki, 00014, Finland.

G3 (Bethesda, Md.)

|October 7, 2017

Summary

This summary is machine-generated.

This study reveals Finland

Keywords:

haplotype sharing population genetics population structure

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Area of Science:

Population genetics
Computational genomics
Human ancestry

Background:

Geographically precise reference datasets are crucial for accurate individual-level ancestry estimation.
Finland's unique population structure, predating the 1950s, offers a valuable case study.

Purpose of the Study:

To analyze the genetic structure of the Finnish population using a precisely defined reference dataset.
To investigate the relationship between genetic clusters, historical settlement, and linguistic regions in Finland.

Main Methods:

Utilized dense genotype data from 2376 individuals in the 1997 FINRISK Study.
Applied haplotype-based computational methods: ChromoPainter (CP) and FineSTRUCTURE (FS).

Main Results:

Revealed a highly geographically clustered genetic structure within Finland.
Identified a main genetic division strongly correlating with the 1323 Nöteborg treaty border.
Observed significant regional genetic substructure, unlike the more homogeneous UK population.

Conclusions:

Finnish population genetics reflect historical settlement and linguistic patterns.
CP + FS methods, with extensions, are effective for detailed population structure analysis.
Future availability of similar reference datasets will advance forensic genetics and association studies.