Epistasis,complex traits,and mapping genes

Using a three-locus model wherein two loci regulate a third, candidate locus, I examine physiological epistasis from the gene's eye view of the regulated locus. I show that, depending upon genetic background at the regulatory loci, an allele at the candidate locus can be dominant, additive, recessive, neutral, over-dominant, or under-dominant in its effects on fitness. This kind of variation in allelic effect caused by variation in genetic background from population to population, from time to time in the same population, or sample to sample makes finding and mapping the genes underlying a complex phenotype difficult. The rate of evolution of such genes can also be slowed, especially in genetically subdivided metapopulations with migration. Nevertheless, understanding how variation in genetic background causes variation in allelic effects permits the genetic architecture of such complex traits to be dissected into the interacting component genes. While some backgrounds diminish allelic effects and make finding and mapping genes difficult, other backgrounds enhance allelic effects and facilitate gene mapping.     

Fast, accurate and simulation-free stochastic mapping

Mapping evolutionary trajectories of discrete traits onto phylogenies receives considerable attention in evolutionary biology. Given the trait observations at the tips of a phylogenetic tree, researchers are often interested where on the tree the trait changes its state and whether some changes are preferential in certain parts of the tree. In a model-based phylogenetic framework, such questions translate into characterizing probabilistic properties of evolutionary trajectories. Current methods of assessing these properties rely on computationally expensive simulations. In this paper, we present an efficient, simulation-free algorithm for computing two important and ubiquitous evolutionary trajectory properties. The first is the mean number of trait changes, where changes can be divided into classes of interest (e.g. synonymous/non-synonymous mutations). The mean evolutionary reward, accrued proportionally to the time a trait occupies each of its states, is the second property. To illustrate the usefulness of our results, we first employ our simulation-free stochastic mapping to execute a posterior predictive test of correlation between two evolutionary traits. We conclude by mapping synonymous and non-synonymous mutations onto branches of an HIV intrahost phylogenetic tree and comparing selection pressure on terminal and internal tree branches.     

Microsatellite-centromere mapping in the loach, Misgurnus anguillicaudatus

Primer sets for 15 polymorphic microsatellite loci were developed in the loach, Misgurnus anguillicaudatus (Cobitidae) by molecular cloning and sequencing techniques. Mendelian inheritance was confirmed for the 15 loci by examining the genotypic segregation produced with the primer sets in two full-sib families. The loci were mapped in relation to their centromere in four gynogenetic diploid lines, which were induced by inhibition of the second meiotic division after fertilization with genetically inert sperm. Microsatellite-centromere recombination rates ranged between 0.06 and 0.95 under the assumption of complete interference. Thus, these loci are distributed from the centromeres to the telomeres of their respective chromosomes. The success of mitotic gynogenesis, produced by suppression of the first cleavage, was verified by homozygosity at three diagnostic microsatellite loci that exhibited high gene-centromere meiotic recombination rates in the same family. The differences in heterozygosity levels observed with these markers were attributed to differences in the temporal application of heat shock following inert sperm activation.     

Skin pigmentation,biogeographical ancestry and admixture mapping

Ancestry informative markers (AIMs) are genetic loci showing alleles with large frequency differences between populations. AIMs can be used to estimate biogeographical ancestry at the level of the population, subgroup (e.g. cases and controls) and individual. Ancestry estimates at both the subgroup and individual level can be directly instructive regarding the genetics of the phenotypes that differ qualitatively or in frequency between populations. These estimates can provide a compelling foundation for the use of admixture mapping (AM) methods to identify the genes underlying these traits. We present details of a panel of 34 AIMs and demonstrate how such studies can proceed, by using skin pigmentation as a model phenotype. We have genotyped these markers in two population samples with primarily African ancestry, viz. African Americans from Washington D.C. and an African Caribbean sample from Britain, and in a sample of European Americans from Pennsylvania. In the two African population samples, we observed significant correlations between estimates of individual ancestry and skin pigmentation as measured by reflectometry (R(2)=0.21, P<0.0001 for the African-American sample and R(2)=0.16, P<0.0001 for the British African-Caribbean sample). These correlations confirm the validity of the ancestry estimates and also indicate the high level of population structure related to admixture, a level that characterizes these populations and that is detectable by using other tests to identify genetic structure. We have also applied two methods of admixture mapping to test for the effects of three candidate genes (TYR, OCA2, MC1R) on pigmentation. We show that TYR and OCA2 have measurable effects on skin pigmentation differences between the west African and west European parental populations. This work indicates that it is possible to estimate the individual ancestry of a person based on DNA analysis with a reasonable number of well-defined genetic markers. The implications and applications of ancestry estimates in biomedical research are discussed.     

A combinatorial approach for fast,high-resolution mapping

High-resolution physical maps can be used as a scaffold for several subsequent studies, such as sequencing projects and positional cloning of disease genes and genetic elements that regulate gene expression. Here we describe a method for fast, high-resolution physical mapping on stretched DNA molecules, based on a combinatorial multi-FISH approach. Fluorescent labels are assigned to a binary code and probes are identified by a binary tag according to their labeling. To validate the approach, we have mapped eight probes covering a region of about 300 kb on human chromosome 11 with three hybridization assays. This approach enables one to determine the structural organization of a large region by means of the order of its clones, without ambiguities. The structure established in a control cell constitutes a reference for further studies, to detect rearrangements displayed by disease cells and to find differences shown by different cell types and organisms.     

High-resolution, high-throughput SNP mapping in Drosophila melanogaster

Single nucleotide polymorphisms (SNPs) are useful markers for genetic mapping experiments in model organisms. Here we report the establishment of a high-density SNP map and high-throughput genotyping assays for Drosophila melanogaster. Our map comprises 27,367 SNPs in common laboratory Drosophila stocks. These SNPs were clustered within 2,238 amplifiable markers at an average density of 1 marker every 50.3 kb, or 6.3 genes. We have also constructed a set of 62 Drosophila stocks, each of which facilitates the generation of recombinants within a defined genetic interval of 1-2 Mb. For flexible, high-throughput SNP genotyping, we used fluorescent tag-array mini-sequencing (TAMS) assays. We designed and validated TAMS assays for 293 SNPs at an average resolution of 391.3 kb, and demonstrated the utility of these tools by rapidly mapping 14 mutations that disrupt embryonic muscle patterning. These resources enable high-resolution high-throughput genetic mapping in Drosophila.     

Comparative mapping ofIGHG,IGHM, FES,andFOS in domestic cattle

The immunoglobulin genes have not been genetically characterized as thoroughly in cattle as in other mammals, particularly humans and mice. Comparative gene mapping in mammals suggests that the bovine immunoglobulin heavy chain genes,IGHG4 andIGHM might be syntenic with theFOS oncogene. Interestingly, however, when these genes were assigned to bovine syntenic groups utilizing a panel of bovine: hamster hybrid somatic cells,IGH genes were shown to be syntenic with theFES oncogene rather thanFOS. In this studyIGH andFES were assigned toBos taurus chromosome 21 whileFOS was assigned to chromosome 10. In addition, bovine-specific immunoglobulin-like sequences were observed in the hybrid somatic cells, and one, IGHML1, was mapped to bovine syntenic group U16. The probes used for somatic-cell mapping were also used to screen a small number of cattle of several different breeds for restriction fragment length polymorphisms.IGHG4 andIGHM were shown to be highly polymorphisms. whileFOS andFES were not. Address correspondence and offprint requests to: J. E. Womack.     

Position,guidance, and mapping in the developing visual system

Positional identity in the visual system affects the topographic projection of the retina onto its central targets. In this review we discuss gradients and positional information in the retina, when and how they arise, and their functional significance in development. When the axons of retinal ganglion cells leave the eye, they navigate through territory in the central nervous system that is rich in positional information. We review studies that explore the navigational cues that the growth cones of retinal axons use to orient towards their target and organize themselves as they make this journey. Finally, these axons arrive at their central targets and make a precise topographic map of visual space that is crucial for adaptive visual behavior. In the last section of this review, we examine the topographic cues in the tectum, what they are, when, and how they arise, and how retinal axons respond to them. We also touch on the role of neural activity in the refinement of this topography. © 1993 John Wiley & Sons, Inc.     

Isolation, mapping, and characterization of two barley multiovary mutants

Mutations in homeotic genes disturb the spatial and temporal patterns of development, often leading to the appearance of tissues in abnormal locations. Many homeotic genes, involved in flower development, code for proteins with a highly conserved domain called the MADS box, which acts as a sequence-specific DNA binding protein. Two floral development mutants were isolated from a fast neutron irradiated M2 barley population. The phenotypes are multiovary, that is, stamens replaced with carpels, designated mo7a, and stamens replaced with carpels and lodicules converted to leaflike structures, designated mo6b. These phenotypes resemble the Arabidopsis mutants APETALA3 (AP3) and PISTILATA (PI). The mo6b and mo7a mutants were mapped to the centromeric region of chromosome 1 (7H) and to the telomeric region of chromosome 3 (3H), respectively.     

Association mapping and fine mapping with TreeLD

SUMMARY: The program package TreeLD implements a unified approach to association mapping and fine mapping of complex trait loci and a novel approach to visualizing association data, based on an inferred ancestry of the sample. Fundamentally, the TreeLD approach is based on the idea that the evidence for association at a particular position is contained in the ancestral tree relating the sampled chromosomes at that position. TreeLD provides an easy-to-use interface and can be applied to case-control, TDT trio and quantitative trait data.     

Mouse uroporphyrinogen decarboxylase: CDNA cloning,expression, and mapping

Uroporphyrinogen decarboxylase (URO-decarboxylase; EC 4.1.1.37), the heme biosynthetic enzyme responsible for the conversion of uroporphyrinogen III to coproporphyrinogen III, is the enzymatic defect in porphyria cutanea tarda, the most common porphyria. The mouse URO-decarboxylase cDNA was isolated from a mouse adult liver cDNA library. The longest clone of 1.5 kb, designated pmUROD-1, had 5′ and 3′ untranslated sequences of 281 and 97 bp, respectively, and an open reading frame of 1104 bp encoding a 367-amino acid polypeptide with a predicted molecular mass of 40,595 Da. The mouse and human coding sequences had 87.8% and 90.0% nucleotide and amino acid identity, respectively. The authenticity of the mouse cDNA was established by expression of the active enzyme in Escherichia coli. In addition, the analysis of two sets of multilocus genetic crosses localized the mouse gene, Urod, on Chromosome (Chr) 4, consistent with the map location of the human gene to a position of conserved synteny on Chr 1. The availability of the mouse URO-decarboxylase should facilitate studies of the structure and organization of the mouse genomic sequence and the development of a mouse model of this inherited porphyria. Received: 27 November 1995 / Accepted: 17 January 1996     

Map Manager QTX, cross-platform software for genetic mapping

Map Manager QTX (QTX) is software for analysis of genetic mapping experiments in experimental plants and animals. It includes functions for mapping both Mendelian and quantitative trait loci. QTX is an enhanced version of Map Manager QT, rewritten with the aid of cross-platform libraries (XVT, Boulder Software Foundry, Inc.), which allow it to be compiled for multiple computer platforms. It currently is distributed for Microsoft Windows and Mac OS and is available at http://mapmgr.roswellpark.org/mmQTX.html. Received: 2 July 2001 / Accepted: 20 August 2001     

Subcellular fractionation, electromigration analysis and mapping of organelles

Subcellular fractionation has provided the means required to analyze the composition and properties of purified cellular elements. In particular, subcellular fractionation has helped to define membrane boundaries and became necessary for the development of cell-free assays that reconstitute complicated cellular processes. Although cell fractionation techniques have improved over the last decades the purification of organelles to homogeneity is still a barely accessible goal in cell biology. In this article, we will first briefly review the basic principles of subcellular fractionation, and the establishment of different organelle fractions by density centrifugation, using tissue culture cells as a paradigm. Then we will discuss some of the intrinsic problems and will compare gradient purification of cellular extracts with electromigration analysis. Finally, we will describe alternative approaches, such as immunoisolation and flow cytometry to purify organelles from tissue culture cells.     

Molecular mapping of 36 soybean male-sterile, female-sterile mutants

Mutability of the w ( 4 ) flower color locus in soybean [Glycine max (L.) Merr.] is conditioned by an unstable allele designated w ( 4 ) -m. Germinal revertants, purple-flower plants, recovered among self-pollinated progeny of mutable flower plants were associated with the generation of necrotic root, chlorophyll-deficiency, and sterility mutations. Thirty-seven male-sterile, female-sterile mutant lines were generated from 37 independent reversion events at the w ( 4 ) -m locus. The first germinal revertant study had one male-sterile, female-sterile mutant (st8, T352), located on Molecular Linkage Group (MLG) J. The second study had 36 germinal-revertant derived sterility mutants descended from four mutable categories of w ( 4 ) -m. The mutable categories were designated; (1) low frequency of early excisions, (2) low frequency of late excisions, (3) high frequency of early excisions, and (4) high frequency of late excisions. The objectives of the present study were to; (1) molecularly map the 36 male-sterile, female-sterile mutants, and to (2) compare map locations of these mutants with T352 (st8), identified from the first germinal revertant study. Thirty-three of 36 male-sterile, female-sterile mutations were derived from germinal reversions that were classified in the late excision categories. Thirty-five male-sterile mutants mapped to the st8 region on MLG J. The only exception mapped to MLG G. Most likely mutants were generated through insertion of a putative transposon that was excised from the w ( 4 ) locus. The location of 36 of 37 mutations to a single chromosomal region suggests preference for sequence-dependent insertion.