A chromosome-based model for estimating the number of conserved segments between pairs of species from comparative genetic maps

Why Do Some Vertebrates Have Microchromosomes?

With more than 70,000 living species, vertebrates have a huge impact on the field of biology and research, including karyotype evolution. One prominent aspect of many vertebrate karyotypes is the enigmatic occurrence of tiny and often cytogenetically indistinguishable microchromosomes, which possess distinctive features compared to macrochromosomes. Why certain vertebrate species carry these microchromosomes in some lineages while others do not, and how they evolve remain open questions. New studies have shown that microchromosomes exhibit certain unique characteristics of genome structure and organization, such as high gene densities, low heterochromatin levels, and high rates of recombination. Our review focuses on recent concepts to expand current knowledge on the dynamic nature of karyotype evolution in vertebrates, raising important questions regarding the evolutionary origins and ramifications of microchromosomes. We introduce the basic karyotypic features to clarify the size, shape, and morphology of macro- and microchromosomes and report their distribution across different lineages. Finally, we characterize the mechanisms of different evolutionary forces underlying the origin and evolution of microchromosomes.

Human and mouse genomic sequences reveal extensive breakpoint reuse in mammalian evolution

The human and mouse genomic sequences provide evidence for a larger number of rearrangements than previously thought and reveal extensive reuse of breakpoints from the same short fragile regions. Breakpoint clustering in regions implicated in cancer and infertility have been reported in previous studies; we report here on breakpoint clustering in chromosome evolution. This clustering reveals limitations of the widely accepted random breakage theory that has remained unchallenged since the mid-1980s. The genome rearrangement analysis of the human and mouse genomes implies the existence of a large number of very short "hidden" synteny blocks that were invisible in the comparative mapping data and ignored in the random breakage model. These blocks are defined by closely located breakpoints and are often hard to detect. Our results suggest a model of chromosome evolution that postulates that mammalian genomes are mosaics of fragile regions with high propensity for rearrangements and solid regions with low propensity for rearrangements.

LineUp: statistical detection of chromosomal homology with application to plant comparative genomics

The identification of homologous regions between chromosomes forms the basis for studies of genome organization, comparative genomics, and evolutionary genomics. Identification of these regions can be based on either synteny or colinearity, but there are few methods to test statistically for significant evidence of homology. In the present study, we improve a preexisting method that used colinearity as the basis for statistical tests. Improvements include computational efficiency and a relaxation of the colinearity assumption. Two algorithms perform the method: FullPermutation, which searches exhaustively for runs of markers, and FastRuns, which trades faster run times for exhaustive searches. The algorithms described here are available in the LineUp package (http://www.igb.uci.edu/ approximately baldig/lineup). We explore the performance of both algorithms on simulated data and also on genetic map data from maize (Zea mays ssp. mays). The method has reasonable power to detect a homologous region; for example, in >90% of simulations, both algorithms detect a homologous region of 10 markers buried in a random background, even when the homologous regions have diverged by numerous inversion events. The methods were applied to four maize molecular maps. All maps indicate that the maize genome contains extensive regions of genomic duplication and multiplication. Nonetheless, maps differ substantially in the location of homologous regions, probably reflecting the incomplete nature of genetic map data. The variation among maps has important implications for evolutionary inference from genetic map data.

Mapping quantitative trait loci and identification of genes that control fatness in poultry

Chicken genomics has benefited from the rapid technological advances in the genomics of model organisms and man. A number of resources and approaches are now well established, in the chicken, including genetic markers and maps (both genetic and physical), quantitative trait loci mapping, comparative mapping, expressed sequence tag and bacterial artificial chromosome resources, and physical mapping. In addition, the next phase of gene discovery, functional genomics, is underway. Progress in mapping quantitative trait loci for growth and fatness traits will be discussed, as an application of these new technologies and approaches in the study of avian physiology and genetics.

Measures of Synteny Conservation Between Species Pairs

Measures of conserved synteny are important for estimating the relative rates of chromosomal evolution in various lineages. We present a natural way to view the synteny conservation between two species from an Oxford grid—an r × c table summarizing the number of orthologous genes on each of the chromosomes 1 through r of the first species that are on each of the chromosomes 1 through c of the second species. This viewpoint suggests a natural statistic, which we denote by ρ and call syntenic correlation, designed to measure the amount of synteny conservation between two species. This measure allows syntenic conservation to be compared across many pairs of species. We improve the previous methods for estimating the true number of conserved syntenies given the observed number of conserved syntenies by taking into account the dependency of the numbers of orthologues observed in the chromosome pairings between the two species and by determining both point and interval estimators. We also discuss the application of our methods to genomes that contain chromosomes of highly variable lengths and to estimators of the true number of conserved segments between species pairs.

Expressed sequence tags for the chicken genome from a normalized, ten-day-old white leghorn whole embryo cDNA library. 2. Comparative DNA sequence analysis of guinea fowl, quail, and turkey genomes

Accelerated efforts to develop a high-utility chicken genome map have resulted in the development of resources that may be useful for genetic analysis in other economically important poultry species. Here we describe a total of 26 comparative genomic DNA sequences (CGS) for the guinea fowl, Japanese quail, and domestic turkey developed using 10 primer pairs specific for 10 previously reported, unique, chicken expressed sequence tags (EST). The total length of CGS developed for each of the three species was 4,193, 4,597, and 6,057 bp in quail, turkey, and guinea fowl, respectively. About 70% of the CGS showed significant sequence similarity to reference database sequences, including the reference chicken EST and other avian and nonavian genes. A majority of the between-species comparisons of the CGS from all but two primer pairs were significant and ranged from 81 to 99%. The percentage similarity of the CGS appears to be a function of phylogenetic relatedness and was generally higher for comparisons between the chicken, quail, and turkey and lower between the guinea fowl and chicken, quail, or turkey. Maximum likelihood estimation of the phylogenetic relationships using CGS from two primer pairs also showed a closer relationship, as expected, among chicken, quail, and turkey than between guinea fowl and either chicken, quail, or turkey. Within the guinea fowl, quail, and turkey CGS developed, the total number of single nucleotide polymorphisms detected was 28, 17, and 14, respectively. Together, these resources represent tools that will facilitate genetic analysis of species that have been studied very little and our understanding of their genomes and genome evolution.

Rat-mouse and rat-human comparative maps based on gene homology and high-resolution zoo-FISH

The laboratory rat, Rattus norvegicus, and the laboratory mouse, Mus musculus, are key animal models in biomedical research. A deeper understanding of the genetic interrelationsships between Homo sapiens and these two rodent species is desirable for extending the usefulness of the animal models. We present comprehensive rat-human and rat-mouse comparative maps, based on 1090 gene homology assignments available for rat genes. Radiation hybrid, FISH, and zoo-FISH mapping data have been integrated to produce comparative maps that are estimated to comprise 83-100% of the conserved regions between rat and mouse and 66-82% of the conserved regions between rat and human. The rat-mouse zoo-FISH analysis, supported by data for individual genes, revealed nine previously undetected conserved regions compared to earlier reports. Since there is almost complete genome coverage in the rat-mouse comparative map, we conclude that it is feasible to make accurate predictions of gene positions in the rat based on gene locations in the mouse.

Determination of the number of conserved chromosomal segments between species

Genomic divergence between species can be quantified in terms of the number of chromosomal rearrangements that have occurred in the respective genomes following their divergence from a common ancestor. These rearrangements disrupt the structural similarity between genomes, with each rearrangement producing additional, albeit shorter, conserved segments. Here we propose a simple statistical approach on the basis of the distribution of the number of markers in contiguous sets of autosomal markers (CSAMs) to estimate the number of conserved segments. CSAM identification requires information on the relative locations of orthologous markers in one genome and only the chromosome number on which each marker resides in the other genome. We propose a simple mathematical model that can account for the effect of the nonuniformity of the breakpoints and markers on the observed distribution of the number of markers in different conserved segments. Computer simulations show that the number of CSAMs increases linearly with the number of chromosomal rearrangements under a variety of conditions. Using the CSAM approach, the estimate of the number of conserved segments between human and mouse genomes is 529 +/- 84, with a mean conserved segment length of 2.8 cM. This length is <40% of that currently accepted for human and mouse genomes. This means that the mouse and human genomes have diverged at a rate of approximately 1.15 rearrangements per million years. By contrast, mouse and rat are diverging at a rate of only approximately 0.74 rearrangements per million years.