Abraham B Korol

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Abraham B. Korol
Abraham Korol.jpg
Born
Abraham Bentsionovich Korol

(1946-10-18) October 18, 1946 (age 78)
Bendery, Moldavia
OccupationGeneticist
Employer University of Haifa
Known forEvolutionary genetics, genomics

Abraham Bentsionovich Korol (born October 18, 1946) is a professor at the Institute of Evolution at the University of Haifa. [1] He is an Israeli geneticist and evolutionary biologist known for his work on the evolution of sex and recombination, genome mapping, and the genetics of complex traits.

Contents

Korol was born in Bendery, Moldavia (now Moldova), then part of the Soviet Union, and immigrated to Israel in 1991. He established the Laboratory of Population Genetics and Computational Biology at the University of Haifa and served as the director of the Institute of Evolution from 2008 to 2013. [2] [3] [4]

Korol has held numerous scholarly positions, including membership in the Human Genome Organization and the European Society of Evolutionary Biology. He has contributed significantly to the fields of evolutionary genetics and genomics. [5]

Early life and education

Korol was born in Moldova in 1946. Since childhood, Korol was passionate about classical music. His favorite composer is Johann Sebastian Bach, and the violin is his favorite instrument. In 1971, Korol graduated from Leningrad Polytechnic University with a master's in computer science, followed by a doctorate in genetics from the Institute of General Genetics, USSR Academy of Science, Moscow, under the supervision of Prof. A.A. Zhuchenko. [2]

Immigration to Israel (Aliyah)

Immigration to Israel was always an aspiration in Korol's family, leading his uncle to immigrate to Palestine in the 1930s. Nevertheless, immigration restrictions in the USSR prevented Korol from immigrating until the 1990s with the collapse of the Soviet Union. Korol was eager to continue his research and has contacted different institutes in Israel. He eventually accepted the invitation from the head of the Institute of Evolution at the University of Haifa, Prof. Eviatar Nevo, and established his new lab in 1991. [2] [3]

Positions Held

Since 1994, Korol has held many scholarly positions, including:

Research

Korol's research is focused on evolutionary genetics and genomics in several target species using both theoretical and experimental approaches with emphasis on the mathematical aspect.

Evolution of sex and recombination

Korol's work on the evolution of sex and recombination includes developing theoretical models to explain the factors responsible for sex and recombination maintenance, [6] their role in adaptation [7] and genome evolution. [6] In addition, Korol's group has generated and tested empirical evidences based on assessment of DNA sequence variation in natural populations aiming at the ecological-genetic regulation of recombination and mutation. [8]

Molecular-genetic basis of adaptation to stress

Korol's study of incipient sympatric differentiation caused by microsite ecological contrasts is focused on ecological selection and premating isolation in Drosophila melanogaster, [9] and testing candidate genes for association with adaptive outcome (physiological and behavioral) based on sequence organization in coding and non-coding genome regions. [10]

Genome structure, sequence comparisons on the above-gene level

Along his career, Korol has developed in collaboration with colleagues novel approaches for sequence comparisons on the whole genome level (compositional spectra based on fuzzy linguistics). He has coined a new concept of "genome dialect" to demonstrate the above-gene sequence organization and its relationship with the evolution of recombination-repair enzymes. [11] A major scope of this field is to explore genome heterogeneity in main groups of organisms where total genome sequence is available (mammals and vertebrates in general, insects, fungi, plants). Another aspect of this field is to reveal genomic peculiarities associated with evolution at contrasting and extreme environments (e.g. extremophiles vs. mesophiles). [12]

Genome mapping (genetic and physical)

Much of Korol's work is devoted to understanding peculiarities of recombination and organization of eukaryotic chromosomes and development of multilocus genomic maps allowing reliable ordering of thousands of markers per chromosome, complemented by computing-intensive map verification. As part of these efforts, new heuristics for Evolution Strategy algorithms were developed in Korol's lab to efficiently tackle this subsequent discrete optimization problem (with complexity ~n! where n~102-103). [13] Another complementary problem to reconstructing genetic maps is ensemble a consensus map from data produced by different labs, mapping populations or genotyping technologies. Currently Korol's group is responsible for developing new methodology for physical genome mapping in complex cereal genomes in the framework of FP7 consortium (contig assembly algorithms for BAC libraries based on fingerprinting or DNA-DNA hybridization data, and integration of genetic and physical maps). [14]

Genetic architecture of complex (quantitative) traits

Along his career, Korol has developed methods for genetic mapping of quantitative traits including joint analysis of multiple trait complexes across the genome using data scored in different developmental and ecological conditions. [15] [16] Among the themes Korol's group has addressed are mapping domestication-evolution traits; genetic dissection of agriculturally important stress-tolerance traits in cereals, cattle, poultry, fishes, and medically important traits of rat and mouse. In addition, Korol has contributed to multiple-trait QTL analysis for revealing genomic determinants of microarray expression (eQTL mapping).

Related Research Articles

Microevolution is the change in allele frequencies that occurs over time within a population. This change is due to four different processes: mutation, selection, gene flow and genetic drift. This change happens over a relatively short amount of time compared to the changes termed macroevolution.

A genetic screen or mutagenesis screen is an experimental technique used to identify and select individuals who possess a phenotype of interest in a mutagenized population. Hence a genetic screen is a type of phenotypic screen. Genetic screens can provide important information on gene function as well as the molecular events that underlie a biological process or pathway. While genome projects have identified an extensive inventory of genes in many different organisms, genetic screens can provide valuable insight as to how those genes function.

Gene duplication is a major mechanism through which new genetic material is generated during molecular evolution. It can be defined as any duplication of a region of DNA that contains a gene. Gene duplications can arise as products of several types of errors in DNA replication and repair machinery as well as through fortuitous capture by selfish genetic elements. Common sources of gene duplications include ectopic recombination, retrotransposition event, aneuploidy, polyploidy, and replication slippage.

A quantitative trait locus (QTL) is a locus that correlates with variation of a quantitative trait in the phenotype of a population of organisms. QTLs are mapped by identifying which molecular markers correlate with an observed trait. This is often an early step in identifying the actual genes that cause the trait variation.

<span class="mw-page-title-main">Comparative genomics</span> Field of biological research

Comparative genomics is a branch of biological research that examines genome sequences across a spectrum of species, spanning from humans and mice to a diverse array of organisms from bacteria to chimpanzees. This large-scale holistic approach compares two or more genomes to discover the similarities and differences between the genomes and to study the biology of the individual genomes. Comparison of whole genome sequences provides a highly detailed view of how organisms are related to each other at the gene level. By comparing whole genome sequences, researchers gain insights into genetic relationships between organisms and study evolutionary changes. The major principle of comparative genomics is that common features of two organisms will often be encoded within the DNA that is evolutionarily conserved between them. Therefore, Comparative genomics provides a powerful tool for studying evolutionary changes among organisms, helping to identify genes that are conserved or common among species, as well as genes that give unique characteristics of each organism. Moreover, these studies can be performed at different levels of the genomes to obtain multiple perspectives about the organisms.

<span class="mw-page-title-main">Chromosomal inversion</span> Chromosome rearrangement in which a segment of a chromosome is reversed

An inversion is a chromosome rearrangement in which a segment of a chromosome becomes inverted within its original position. An inversion occurs when a chromosome undergoes a two breaks within the chromosomal arm, and the segment between the two breaks inserts itself in the opposite direction in the same chromosome arm. The breakpoints of inversions often happen in regions of repetitive nucleotides, and the regions may be reused in other inversions. Chromosomal segments in inversions can be as small as 1 kilobases or as large as 100 megabases. The number of genes captured by an inversion can range from a handful of genes to hundreds of genes. Inversions can happen either through ectopic recombination between repetitive sequences, or through chromosomal breakage followed by non-homologous end joining.

Genetic architecture is the underlying genetic basis of a phenotypic trait and its variational properties. Phenotypic variation for quantitative traits is, at the most basic level, the result of the segregation of alleles at quantitative trait loci (QTL). Environmental factors and other external influences can also play a role in phenotypic variation. Genetic architecture is a broad term that can be described for any given individual based on information regarding gene and allele number, the distribution of allelic and mutational effects, and patterns of pleiotropy, dominance, and epistasis.

<span class="mw-page-title-main">Synteny</span> Co-localization of genetic loci on a chromosome, or the conservation of gene order

In genetics, the term synteny refers to two related concepts:

A polygene is a member of a group of non-epistatic genes that interact additively to influence a phenotypic trait, thus contributing to multiple-gene inheritance, a type of non-Mendelian inheritance, as opposed to single-gene inheritance, which is the core notion of Mendelian inheritance. The term "monozygous" is usually used to refer to a hypothetical gene as it is often difficult to distinguish the effect of an individual gene from the effects of other genes and the environment on a particular phenotype. Advances in statistical methodology and high throughput sequencing are, however, allowing researchers to locate candidate genes for the trait. In the case that such a gene is identified, it is referred to as a quantitative trait locus (QTL). These genes are generally pleiotropic as well. The genes that contribute to type 2 diabetes are thought to be mostly polygenes. In July 2016, scientists reported identifying a set of 355 genes from the last universal common ancestor (LUCA) of all organisms living on Earth.

<span class="mw-page-title-main">Gene mapping</span> Process of locating specific genes

Gene mapping or genome mapping describes the methods used to identify the location of a gene on a chromosome and the distances between genes. Gene mapping can also describe the distances between different sites within a gene.

<span class="mw-page-title-main">Steven D. Tanksley</span> American geneticist

Steven Dale Tanksley is the Chief Technology Officer of Nature Source Improved Plants. Prior to founding Nature Source Improved Plants, Tanksley served as the Liberty Hyde Bailey professor of plant breeding and biometry and chair of the Genomics Initiative Task Force at Cornell University College of Agriculture and Life Sciences. He is currently a Professor Emeritus at Cornell University.

Population genomics is the large-scale comparison of DNA sequences of populations. Population genomics is a neologism that is associated with population genetics. Population genomics studies genome-wide effects to improve our understanding of microevolution so that we may learn the phylogenetic history and demography of a population.

In genetics, association mapping, also known as "linkage disequilibrium mapping", is a method of mapping quantitative trait loci (QTLs) that takes advantage of historic linkage disequilibrium to link phenotypes to genotypes, uncovering genetic associations.

Nested association mapping (NAM) is a technique designed by the labs of Edward Buckler, James Holland, and Michael McMullen for identifying and dissecting the genetic architecture of complex traits in corn. It is important to note that nested association mapping is a specific technique that cannot be performed outside of a specifically designed population such as the Maize NAM population, the details of which are described below.

In statistical genetics, inclusive composite interval mapping (ICIM) has been proposed as an approach to QTL mapping for populations derived from bi-parental crosses. QTL mapping is based on genetic linkage map and phenotypic data to attempt to locate individual genetic factors on chromosomes and to estimate their genetic effects.

GeneNetwork is a combined database and open-source bioinformatics data analysis software resource for systems genetics. This resource is used to study gene regulatory networks that link DNA sequence differences to corresponding differences in gene and protein expression and to variation in traits such as health and disease risk. Data sets in GeneNetwork are typically made up of large collections of genotypes and phenotypes from groups of individuals, including humans, strains of mice and rats, and organisms as diverse as Drosophila melanogaster, Arabidopsis thaliana, and barley. The inclusion of genotypes makes it practical to carry out web-based gene mapping to discover those regions of genomes that contribute to differences among individuals in mRNA, protein, and metabolite levels, as well as differences in cell function, anatomy, physiology, and behavior.

A recombinant inbred strain or recombinant inbred line (RIL) is an organism with chromosomes that incorporate an essentially permanent set of recombination events between chromosomes inherited from two or more inbred strains. F1 and F2 generations are produced by intercrossing the inbred strains; pairs of the F2 progeny are then mated to establish inbred strains through long-term inbreeding.

Eviatar Nevo, is Professor Emeritus, founder and director of the Institute of Evolution at University of Haifa, Israel.

<span class="mw-page-title-main">Peter Keightley</span>

Peter D. Keightley is a British geneticist who is Professor of Evolutionary Genetics at the Institute of Evolutionary Biology in School of Biological Sciences at the University of Edinburgh.

<span class="mw-page-title-main">Laboratory experiments of speciation</span> Biological experiments

Laboratory experiments of speciation have been conducted for all four modes of speciation: allopatric, peripatric, parapatric, and sympatric; and various other processes involving speciation: hybridization, reinforcement, founder effects, among others. Most of the experiments have been done on flies, in particular Drosophila fruit flies. However, more recent studies have tested yeasts, fungi, and even viruses.

References

  1. "Korol Laboratory". Institute of Evolution, University of Haifa. Retrieved 21 October 2016.
  2. 1 2 3 "Interview with Professor Abraham Korol". Runyweb. Retrieved 21 October 2016.
  3. 1 2 "Institute of Evolution - University of Haifa". University of Haifa. Retrieved 19 October 2016.
  4. "CV of Abraham Korol". Institute of Evolution, University of Haifa. Retrieved 21 October 2016.
  5. 1 2 "Abraham Korol - Coordinating Member". International Wheat Genome Sequencing Consortium. Retrieved 21 October 2016.
  6. 1 2 Korol A.B., Preygel I.A., Preygel S.I. (1994). Recombination Variability and Evolution. London: Chapman & Hall. p. 361.{{cite book}}: CS1 maint: multiple names: authors list (link)
  7. Korol A.B., Iliadi K.G. (1994). "Recombination increase resulting from directional selection for geotaxis in Drosophila". Heredity. 72: 64–68. doi:10.1038/hdy.1994.7. PMID   8119830.
  8. Aggarwal, D.D.; Rashkovetsky, E.; Michalak, P.; Cohen, I.; Ronin, Y.; Zhou, D.; Haddad, G.G.; Korol, A.B. (2015). "Experimental evolution of recombination and crossover interference in Drosophila caused by directional selection for stress-related traits". BMC Biology. 13: 101. doi: 10.1186/s12915-015-0201-5 (inactive 18 December 2024).{{cite journal}}: CS1 maint: DOI inactive as of December 2024 (link) CS1 maint: multiple names: authors list (link)
  9. Hübner, S.; Rashkovetsky, E.; Kim, Y.B.; Oh, J.H.; Michalak, K.; Weiner, D.; Korol, A.B.; Nevo, E.; Michalak, P. (2013). "Genome differentiation of Drosophila melanogaster from a microclimate contrast in Evolution Canyon, Israel". Proceedings of the National Academy of Sciences of the United States of America. 110 (52): 21059–21064. doi: 10.1073/pnas.1321533111 . PMC   3876225 . PMID   24324170.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  10. Zamorzaeva, I.; Rashkovetsky, E.; Nevo, E.; Korol, A.B. (2005). "Sequence polymorphism of candidate behavioural genes in Drosophila melanogaster flies from 'Evolution Canyon'". Molecular Ecology. 14: 3235–3245. doi:10.1111/j.1365-294X.2005.02658.x. PMID   16101787.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  11. Paz, A.; Kirzhner, V.M.; Nevo, E.; Korol, A.B. (2006). "Coevolution of DNA-interacting proteins and genome "dialect"". Molecular Biology and Evolution. 23: 56–64. doi:10.1093/molbev/msj007. PMID   16151189.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  12. Paz, A.; Mester, D.; Baca, I.; Nevo, E.; Korol, A.B. (2004). "Adaptive role of increased frequency of polypurine tracts in mRNA sequences of thermophilic prokaryotes". Proceedings of the National Academy of Sciences of the United States of America. 101: 2951–2956. doi: 10.1073/pnas.0308674101 . PMID   15249676.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  13. Mester, D.; Ronin, Y.I.; Minkov, D.; Nevo, E.; Korol, A.B. (2003). "Constructing large scale genetic maps using evolutionary strategy algorithm". Genetics. 165 (4): 2269–2282. doi:10.1093/genetics/165.4.2269. PMC   1462914 . PMID   14704202.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  14. "FP7 Research". European Commission. Retrieved 19 October 2016.
  15. Korol, A.B.; Ronin, Y.I.; Itzcovich, A.; Nevo, E. (2001). "Enhanced efficiency of QTL mapping analysis based on multivariate complexes of quantitative traits". Genetics. 157 (4): 1789–1803. doi:10.1093/genetics/157.4.1789. PMC   1461583 . PMID   11290731.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  16. "MultiQTL" . Retrieved 19 October 2016.