Hereditary hypertension caused by chimaeric gene duplications and ectopic expression of aldosterone synthase.

Patients with glucocorticoid-remediable aldosteronism (GRA) from 12 kindreds possess chimaeric gene duplications arising from unequal crossing-over, fusing regulatory sequences of steroid 11 beta-hydroxylase to coding sequences of aldosterone synthase. These chimaeric genes are specific for GRA and explain the biochemistry, physiology and genetics of this form of hypertension. Sites of crossing over range from intron 2 to intron 4. Most mutations have arisen independently from either sister or non-sister chromatid exchange between these genes, which are only 45 kilobases apart. The possibility of a susceptibility allele for GRA of Irish origin is suggested. These findings indicate the utility of a direct genetic test for this disorder.     

Intra- and intercellular RNA interference in Arabidopsis thaliana requires components of the microRNA and heterochromatic silencing pathways

In RNA interference (RNAi), double-stranded RNA (dsRNA) is processed into short interfering RNA (siRNA) to mediate sequence-specific gene knockdown. The genetics of plant RNAi is not understood, nor are the bases for its spreading between cells. Here, we unravel the requirements for biogenesis and action of siRNAs directing RNAi in Arabidopsis thaliana and show how alternative routes redundantly mediate this process under extreme dsRNA dosages. We found that SMD1 and SMD2, required for intercellular but not intracellular RNAi, are allelic to RDR2 and NRPD1a, respectively, previously implicated in siRNA-directed heterochromatin formation through the action of DCL3 and AGO4. However, neither DCL3 nor AGO4 is required for non-cell autonomous RNAi, uncovering a new pathway for RNAi spreading or detection in recipient cells. Finally, we show that the genetics of RNAi is distinct from that of antiviral silencing and propose that this experimental silencing pathway has a direct endogenous plant counterpart.     

The origins and uses of mouse outbred stocks

Outbred mouse stocks, often used in genetics, toxicology and pharmacology research, have been generated in rather haphazard ways. Understanding the characteristics of these stocks and their advantages and disadvantages is important for experimental design. In many studies these mice are used inappropriately, wasting animals' lives and resources on suboptimal experiments. Recently, however, researchers from the field of complex trait analysis have capitalized on the genetics of outbred stocks to refine the identification of quantitative trait loci. Here we assess the most widely used outbred stocks of mice and present guidelines for their use.     

Biological and biomedical implications of the co-evolution of pathogens and their hosts

Co-evolution between host and pathogen is, in principle, a powerful determinant of the biology and genetics of infection and disease. Yet co-evolution has proven difficult to demonstrate rigorously in practice, and co-evolutionary thinking is only just beginning to inform medical or veterinary research in any meaningful way, even though it can have a major influence on how genetic variation in biomedically important traits is interpreted. Improving our understanding of the biomedical significance of co-evolution will require changing the way in which we look for it, complementing the phenomenological approach traditionally favored by evolutionary biologists with the exploitation of the extensive data becoming available on the molecular biology and molecular genetics of host-pathogen interactions.     

Multigenic control of Listeria monocytogenes susceptibility in mice

We have used a novel quantitative trait locus model to study the genetics of survival of F2 progeny of susceptible BALB/cByJ and resistant C57BL/6ByJ mice that have been infected with Listeria monocytogenes. This allowed us to map modifiers of L. monocytogenes susceptibility to chromosomes 5 and 13.     

Deconstructing maize population structure.

Association studies have rarely been used in plant genetics, in part because of the risk of false positives caused by population structure. A study of flowering time in maize makes the first use of recent 'structured association' methods-statistical approaches that use independent loci to control for the effects of structure and admixture.     

Dwarf8 polymorphisms associate with variation in flowering time.

Historically, association tests have been used extensively in medical genetics, but have had virtually no application in plant genetics. One obstacle to their application is the structured populations often found in crop plants, which may lead to nonfunctional, spurious associations. In this study, statistical methods to account for population structure were extended for use with quantitative variation and applied to our evaluation of maize flowering time. Mutagenesis and quantitative trait locus (QTL) studies suggested that the maize gene Dwarf8 might affect the quantitative variation of maize flowering time and plant height. The wheat orthologs of this gene contributed to the increased yields seen in the 'Green Revolution' varieties. We used association approaches to evaluate Dwarf8 sequence polymorphisms from 92 maize inbred lines. Population structure was estimated using a Bayesian analysis of 141 simple sequence repeat (SSR) loci. Our results indicate that a suite of polymorphisms associate with differences in flowering time, which include a deletion that may alter a key domain in the coding region. The distribution of nonsynonymous polymorphisms suggests that Dwarf8 has been a target of selection.     

Interpreting principal component analyses of spatial population genetic variation

Nearly 30 years ago, Cavalli-Sforza et al. pioneered the use of principal component analysis (PCA) in population genetics and used PCA to produce maps summarizing human genetic variation across continental regions. They interpreted gradient and wave patterns in these maps as signatures of specific migration events. These interpretations have been controversial, but influential, and the use of PCA has become widespread in analysis of population genetics data. However, the behavior of PCA for genetic data showing continuous spatial variation, such as might exist within human continental groups, has been less well characterized. Here, we find that gradients and waves observed in Cavalli-Sforza et al.'s maps resemble sinusoidal mathematical artifacts that arise generally when PCA is applied to spatial data, implying that the patterns do not necessarily reflect specific migration events. Our findings aid interpretation of PCA results and suggest how PCA can help correct for continuous population structure in association studies.     

The genetics of health

Recent experience with several high-profile drugs demonstrates the great challenges in developing effective and safe therapeutics. A complementary approach to the popular paradigm of disease genetics is based on inherited factors that reduce the incidence and severity of disease among individuals who are genetically predisposed to disease. We propose testing specifically for modifier genes and protective alleles among at-risk individuals and studying the efficacy of therapeutics based on the genetics of health.     

Mouse models of cell death

Cell death is critical for the development and orderly maintenance of cellular homeostasis in metazoans. Developmental genetics in model systems, including Caenorhabditis elegans and Drosophila melanogaster, have helped to identify and order the components of cell-death pathways. An even more complex network of apoptotic pathways has evolved in higher organisms that possess homologs within each set of cell-death regulators. Whereas biochemical studies provide details of molecular mechanisms, genetic models reveal the essential physiologic roles. Transgenic and gene-ablated mice have helped to elucidate mammalian apoptotic pathways and identify the principal effect of each cell death regulator. Here, we review the details of the apoptotic machinery as revealed by mice deficient in critical components of cell-death pathways; we concentrate on cell-death regulators classified as members of the caspase and Bcl2 families or, broadly, as adaptors and mitochondrial released factors.     

Genome-wide association studies of 14 agronomic traits in rice landraces

Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ～ 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ～ 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.     

Lessons in the genomic diversity of malaria

Genome-wide characterization of Plasmodium falciparum genetic diversity represents an important step in malaria genetics. The organizational and collaborative efforts to reach this goal and the results on linkage disequilibrium and genetic diversity among worldwide isolates provide general lessons.     

Maternally transmitted diabetes and deafness associated with a 10.4 kb mitochondrial DNA deletion.

Diabetes mellitus (DM) is one of the most common chronic disorders of children and adults. Several reports have suggested an increased incidence of maternal transmission in some forms of DM. Therefore, we tested a pedigree with maternally transmitted DM and deafness for mitochondrial DNA mutations and discovered a 10.4 kilobase (kb) mtDNA deletion. This deletion is unique because it is maternally inherited, removes the light strand origin (OL) of mtDNA replication, inhibits mitochondrial protein synthesis, and is not associated with the hallmarks of mtDNA deletion syndromes. This discovery demonstrates that DM can be caused by mtDNA mutations and suggests that some of the heterogeneity of this disease results from the novel features of mtDNA genetics.     

Linkage of epidermolytic hyperkeratosis to the type II keratin gene cluster on chromosome 12q.

We investigated the molecular genetics of epidermolytic hyperkeratosis (EHK), a dominant disorder characterized by epidermal blistering, hyperkeratosis, vacuolar degeneration and clumping of keratin filaments. Based on this pathology, we have excluded by linkage analysis several candidate genes for the disease; in contrast, complete linkage was obtained with the type II keratin, K1, on 12q11-q13. Linkage in this region of chromosome 12 was confirmed using several other markers, and multi-locus linkage analyses further supported this location. Keratins are excellent EHK gene candidates since their expression is specific to the suprabasal epidermal layers. In the pedigree studied here, a type II keratin gene, very probably K1, is implicated as the site of the molecular defect causing EHK.     

Transposition of maize Ac/Ds transposable elements in the yeast Saccharomyces cerevisiae

Excision by transposons is associated with chromosome breaks; generally, host-cell proteins repair this damage, often introducing mutations. Many transposons also use host proteins in the transposition mechanism or in regulation. Transposition in systems lacking host factors that influence the behaviour of these transpositions is useful in determining what those factors are and how they work. In addition, features of transposition and regulation intrinsic to the element itself can be determined. Maize Activator/Dissociation (Ac/Ds) elements transpose in a wide variety of heterologous plants, but their characteristics in these other systems differ from those in maize, including their response to increasing genetic dosage and the types of repair products recovered following excision. Two Arabidopsis thaliana mutants (iae1 and iae2) show increased Ac transposition frequencies. These mutants, and the differences mentioned above, suggest the involvement of host proteins in Ac/Ds activity and potential differences between these proteins among plant species. Here we report that Ac/Ds elements, members of the hAT (hobo, Ac, Tam3) superfamily, transpose in the yeast Saccharomyces cerevisiae, an organism lacking class II ('cut and paste') transposons. This demonstrates that plant-specific proteins are not essential for Ac/Ds transposition. The yeast system is valuable for dissecting the Ac/Ds transposition mechanism and identifying host factors that can influence transposition and the repair of DNA damage induced by Ac/Ds. Mutations caused by Ds excision in yeast suggest formation of a DNA-hairpin intermediate, and reinsertions occur throughout the genome with a frequency similar to that in plants. The high proportion of Ac/Ds reinsertions also makes this system an in vivo mutagenesis and reverse genetics tool in yeast and, presumably, other eukaryotic systems.     

Large-scale discovery and genotyping of single-nucleotide polymorphisms in the mouse

Single-nucleotide polymorphisms (SNPs) have been the focus of much attention in human genetics because they are extremely abundant and well-suited for automated large-scale genotyping. Human SNPs, however, are less informative than other types of genetic markers (such as simple-sequence length polymorphisms or microsatellites) and thus more loci are required for mapping traits. SNPs offer similar advantages for experimental genetic organisms such as the mouse, but they entail no loss of informativeness because bi-allelic markers are fully informative in analysing crosses between inbred strains. Here we report a large-scale analysis of SNPs in the mouse genome. We characterized the rate of nucleotide polymorphism in eight mouse strains and identified a collection of 2,848 SNPs located in 1,755 sequence-tagged sites (STSs) using high-density oligonucleotide arrays. Three-quarters of these SNPs have been mapped on the mouse genome, providing a first-generation SNP map of the mouse. We have also developed a multiplex genotyping procedure by which a genome scan can be performed with only six genotyping reactions per animal.     

The sex-specific genetic architecture of quantitative traits in humans

Mapping genetically complex traits remains one of the greatest challenges in human genetics today. In particular, gene-environment and gene-gene interactions, genetic heterogeneity and incomplete penetrance make thorough genetic dissection of complex traits difficult, if not impossible. Sex could be considered an environmental factor that can modify both penetrance and expressivity of a wide variety of traits. Sex is easily determined and has measurable effects on recognizable morphology; neurobiological circuits; susceptibility to autoimmune disease, diabetes, asthma, cardiovascular and psychiatric disease; and quantitative traits like blood pressure, obesity and lipid levels, among others. In this study, we evaluated sex-specific heritability and genome-wide linkages for 17 quantitative traits in the Hutterites. The results of this study could have important implications for mapping complex trait genes.     

Distributions of epistasis in microbes fit predictions from a fitness landscape model

How do the fitness effects of several mutations combine? Despite its simplicity, this question is central to the understanding of multilocus evolution. Epistasis (the interaction between alleles at different loci), especially epistasis for fitness traits such as reproduction and survival, influences evolutionary predictions "almost whenever multilocus genetics matters". Yet very few models have sought to predict epistasis, and none has been empirically tested. Here we show that the distribution of epistasis can be predicted from the distribution of single mutation effects, based on a simple fitness landscape model. We show that this prediction closely matches the empirical measures of epistasis that have been obtained for Escherichia coli and the RNA virus vesicular stomatitis virus. Our results suggest that a simple fitness landscape model may be sufficient to quantitatively capture the complex nature of gene interactions. This model may offer a simple and widely applicable alternative to complex metabolic network models, in particular for making evolutionary predictions.     

Systematic pathway analysis using high-resolution fitness profiling of combinatorial gene deletions

Systematic genetic interaction studies have illuminated many cellular processes. Here we quantitatively examine genetic interactions among 26 Saccharomyces cerevisiae genes conferring resistance to the DNA-damaging agent methyl methanesulfonate (MMS), as determined by chemogenomic fitness profiling of pooled deletion strains. We constructed 650 double-deletion strains, corresponding to all pairings of these 26 deletions. The fitness of single- and double-deletion strains were measured in the presence and absence of MMS. Genetic interactions were defined by combining principles from both statistical and classical genetics. The resulting network predicts that the Mph1 helicase has a role in resolving homologous recombination-derived DNA intermediates that is similar to (but distinct from) that of the Sgs1 helicase. Our results emphasize the utility of small molecules and multifactorial deletion mutants in uncovering functional relationships and pathway order.