noun the process by which genetic material is broken and joined to form new combinations
In genetics, recombination refers to the process by which genetic material is exchanged between two strands of DNA, leading to genetic diversity.
In biology, recombination plays a crucial role in genetic variation and evolution by shuffling genetic material during meiosis.
In evolutionary biology, recombination is a key mechanism for generating genetic diversity within populations and driving adaptation.
In biotechnology, recombination is used in genetic engineering techniques such as gene editing and gene splicing to create genetically modified organisms.
In microbiology, recombination can occur between different strains of bacteria, leading to the exchange of antibiotic resistance genes.
In population genetics, recombination rates can affect the genetic structure of populations and influence patterns of genetic diversity.
In genetics, recombination refers to the process of combining genetic material from two sources to create a new combination of genes. Writers may use this term metaphorically to describe the process of combining different ideas or elements to create something new and original in their writing.
In psychology, recombination can refer to the process of combining different cognitive elements to create new mental representations or insights. Psychologists may also use this term in the context of therapy to describe the process of recombining past experiences and emotions to create a new understanding or perspective on a client's current situation.
In biology, recombination is a fundamental process that occurs during meiosis, where genetic material is exchanged between homologous chromosomes. Biologists study recombination to understand genetic diversity, evolution, and inheritance patterns in organisms.
In computer science, recombination can refer to the process of combining different elements of code or algorithms to create new and more efficient solutions. Computer scientists may use recombination techniques in areas such as genetic algorithms, machine learning, and optimization.