Bioinformatics for Geneticists by Michael R. Barnes

By Michael R. Barnes

This well timed ebook illustrates the worth of bioinformatics, now not easily as a collection of instruments yet relatively as a technological know-how more and more necessary to navigate and deal with the host of data generated by way of genomics and the supply of thoroughly sequenced genomes. Bioinformatics can be utilized in any respect levels of genetics study: to enhance examine layout, to help in candidate gene id, to assist information interpretation and administration and to make clear the molecular pathology of disease-causing mutations. Written in particular for geneticists, this ebook explains the relevance of bioinformatics exhibiting the way it can be used to reinforce genetic information mining and markedly enhance genetic research.

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2002, courtesy of Genetics). A diagrammatic representation of the cytogenetic locations of 20 sorghum BACs, 18S-28S rDNA, and CEN38 (a centromere-associated clone; on right). 3 Discussion ited numbers of seeds (and accessions) were transferred and became the basis of today’s modern cultivars. This created a bottleneck. Breeding methods such as single-seed descent and pedigree selection also promote genetic uniformity. As the tomato cultivars are generally self-compatible, this contributes even further to a decrease DNA polymorphism.

Plant J. 4, 745–750. Lyttle TW (1991) Segregation distorters. Annu. Rev. Genet. 25, 511–557. Maliepaard C et al. ) using multi-allelic markers. Theor. Appl. Genet. 97, 60–73. McCouch SR, Kochert G, Yu ZH, Wang ZY, Khush GS, Coffman WR, Tanksley SD (1988) Molecular mapping of rice chromosomes. Theor. Appl. Genet. 76, 815–829. Michelmore RW, Paran I, Kesseli RV (1991) Identification of markers linked to diseaseresistance genes by bulked segregant analysis: A rapid method to detect markers in specific genomic regions by using segregating populations.

The progeny of such a cross is called the F1 generation. If the parental lines are true homozygotes, all individuals of the F1 generation will have the same genotype and have a similar phenotype. This is the content of Mendel’s law of uniformity. An individual F1 plant is then selfed to produce an F2 population that segregates for the traits different between the parents. F2 populations are the outcome of one meiosis, during which the genetic material is recombined. The expected segregation ratio for each codominant marker is 1:2:1 (homozygous like P1:heterozygous:homozygous like P2).

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