Making an impression on X-linked mental retardation

Oligophrenin-1 encodes a rhoGAP protein involved in X-linked mental retardationBilluart, P. (1998)Nature 392, 923–926PAK3 mutation in nonsyndromic X-linked mental retardationAllen, K.M. et al. (1998)Nat. Genet. 20, 25–30Mutations in GDI1 are responsible for X-linked non-specific mental retardationD'Adamo, P. et al. (1998)Nat. Genet. 19, 134–139Non-specific X-linked semidominant mental retardation by mutations in a Rab GDP-dissociation inhibitorBienvenu, T. et al. (1998)Hum. Mol. Genet. 7, 1311–1315     

Non-viral gene transfer: liposomes and nanospheres promise to deliver the goods

Effective treatment of early endobronchial cancer with regional administration of liposome–p53 complexesZou, Y. et al. (1998)J. Natl. Cancer Inst. 90, 1130–1137Controlled gene delivery by DNA–gelatin nanospheresTruong-Le, V.L. et al. (1998)Hum. Gene Ther. 9, 1709–1717     

An SH2 domain stands between infectious mononucleosis and a fatal lymphoproliferative disease

Host response to EBV infection in X-linked lymphoproliferative disease results from mutations in an SH2-domain encoding geneCoffey, A.J. et al. (1998)Nat. Genet. 20, 129–135The X-linked lymphoproliferative-disease gene product SAP regulates signals induced through the co-receptor SLAMSayos, J. et al. (1998)Nature 395, 462–469     

TP53 on trial for cancer gene therapy

Adenovirus-mediated p53 gene transfer in patients with advanced recurrent head and neck squamous cell carcinomaClayman G.L. et al. (1998)J. Clin. Oncol. 16, 2221–2232Gene therapy for non-small cell lung cancer: a preliminary report of a phase I trial of adenoviral p53 gene replacementRoth, J.A. et al. (1998)Semin. Oncol. 25, 33–37     

Borna disease virus takes the acid test

Mechanism of Borna disease virus entry into cellsGonzalez-Dunia, D. et al. (1998)J. Virol. 72, 783–788     

Baldness as a mendelian genetic trait

Alopecia universalis associated with a mutation in the human hairless geneAhmad, W. et al. (1998)Science 279, 720–724     

Better mutation detection

Mutation detection and typing of polymorphic loci through double-strand conformation analysisArgüello, J.R. et al. (1998)Nat. Genet. 18, 192–194     

Increasing the options for inflammatory bowel disease treatment?

Curative treatment of an experimentally induced colitis by a CD44 variant V7-specific antibodyWittig, B. et al. (1998)J. Immunol. 161, 1069–1073     

Electronic zoo blotting identifies a modifier gene for spinal muscular atrophy

Identification of a candidate modifying gene for spinal muscular atrophy by comparative genomicsScharf, J.M. et al. (1998)Nat. Genet. 20, 83–86     

Systematic synthesis of nonviral gene therapy vectors

Lipitoids—novel cationic lipids for cellular delivery of plasmid DNA in vitroHuang, C-Y. et al. (1998)Chem. Biol. 5, 345–354     

Unusual imprinting defects with low recurrence risks

Sporadic imprinting defects in Prader–Willi syndrome and Angelman syndrome: implications for imprint-switch models, genetic counselling, and prenatal diagnosisBuiting, K. et al. (1998)Am. J. Hum. Genet. 63, 170–180     

Aspirin as a cancer-preventing drug

Aspirin suppresses the mutator phenotype associated with hereditary nonpolyposis colorectal cancer by genetic selectionRuschoff, J. et al. (1998)Proc. Natl. Acad. Sci. U. S. A. 95, 11301–11306     

Uric acid might herald new hopes for multiple sclerosis patients

Uric acid: a natural scavenger of peroxynitrite, in experimental allergic encephalomyelitis and multiple sclerosisHooper, D.C. et al. (1998)Proc. Natl. Acad. Sci. U. S. A. 95, 675–680     

In Planta Mutagenesis Determines the Functional Regions of the Wheat Puroindoline Proteins

In planta analysis of protein function in a crop plant could lead to improvements in understanding protein structure/function relationships as well as selective agronomic or end product quality improvements. The requirements for successful in planta analysis are a high mutation rate, an efficient screening method, and a trait with high heritability. Two ideal targets for functional analysis are the Puroindoline a and Puroindoline b (Pina and Pinb, respectively) genes, which together compose the wheat (Triticum aestivum L.) Ha locus that controls grain texture and many wheat end-use properties. Puroindolines (PINs) together impart soft texture, and mutations in either PIN result in hard seed texture. Studies of the PINs'' mode of action are limited by low allelic variation. To create new Pin alleles and identify critical function-determining regions, Pin point mutations were created in planta via EMS treatment of a soft wheat. Grain hardness of 46 unique PIN missense alleles was then measured using segregating F₂:F₃ populations. The impact of individual missense alleles upon PIN function, as measured by grain hardness, ranged from neutral (74%) to intermediate to function abolishing. The percentage of function-abolishing mutations among mutations occurring in both PINA and PINB was higher for PINB, indicating that PINB is more critical to overall Ha function. This is contrary to expectations in that PINB is not as well conserved as PINA. All function-abolishing mutations resulted from structure-disrupting mutations or from missense mutations occurring near the Tryptophan-rich region. This study demonstrates the feasibility of in planta functional analysis of wheat proteins and that the Tryptophan-rich region is the most important region of both PINA and PINB.NATURAL selection has captured a relatively small subset of potentially useful protein sequences. Unraveling the critical features of proteins via understanding the process of their evolution is a powerful approach for proteins present in many diverse species (Bashford et al. 1987; Hampsey et al. 1988). However, this approach is not feasible for the wheat puroindolines (PINs) that are present only in hexaploid wheat and related species (Massa and Morris 2006). The PINs are unique in structure in having a tryptophan-rich domain and are members of the protease inhibitor/seed storage/lipid transfer protein family (PF00234) (Finn et al. 2008).The tryptophan-rich domain has been hypothesized to control PIN function (Giroux and Morris 1997), but there is no unbiased direct evidence for this since previous studies have focused on the tryptophan box alone (Evrard et al. 2008). A nonbiased approach would consist of random mutagenesis followed by functional analysis (Bowie et al. 1990). This approach has been used extensively for proteins that can be expressed in vitro using either random (Tarun et al. 1998; Guo et al. 2004; Smith and Raines 2006; Georgelis et al. 2007) or site-directed mutations (Miyahara et al. 2008; Osmani et al. 2008). However, functional analysis of many plant proteins in vitro may not be comparable to in planta analysis. In the case of puroindolines, there is no in vitro assay that properly mimics the synergistic binding of PINA and PINB to starch granules or is as easy to measure as grain hardness. Therefore, creation and analysis of a large number of new alleles in wheat in planta is an ideal approach to dissect PIN function.The absence of high-throughput transformation and/or functional screening methods in most crop plants is the largest obstacle in the way of in planta protein functional analysis. However, high-throughput in vitro random or targeted mutagenesis followed by functional analysis has been demonstrated in Arabidopsis thaliana (Dunning et al. 2007) and Nicotiana benthamiana (Boter et al. 2007). Traditional in planta mutagenesis followed by analysis of loss-of-function mutations has been used to clone unknown genes (Xiong et al. 2001) or to define function for candidate genes (Haralampidis et al. 2001; Qi et al. 2006). A high-throughput in planta functional approach for PINA and PINB seems attractive for three reasons. First, the EMS mutation rate in wheat is higher than in any other plant (Slade et al. 2005; Feiz et al. 2009a). Second, PINs control the vast majority of variation in grain hardness (Campbell et al. 1999). Finally, a small-scale preliminary study indicated the feasibility of this approach (Feiz et al. 2009a).PINA and PINB are cysteine-rich proteins unique in having a tryptophan-rich domain (Blochet et al. 1993) and together compose the wheat Hardness (Ha) locus (Giroux and Morris 1998; Wanjugi et al. 2007a). Ha is located on chromosome 5DS and is the major determinant of wheat endosperm texture (Mattern et al. 1973; Law et al. 1978; Campbell et al. 1999). Soft texture (Ha) results when both Pin genes are wild type (Pina-D1a, Pinb-D1a) while hard texture (ha) results from mutations in either Pin (Giroux and Morris 1997, 1998). Transgenic studies in rice (Krishnamurthy and Giroux 2001), wheat (Beecher et al. 2002; Martin et al. 2006), and corn (Zhang et al. 2009) have demonstrated that Pin mutations are causative to hard grain texture. PINA and PINB are not functionally interchangeable and control grain hardness via cooperative binding to starch granules (Hogg et al. 2004; Swan et al. 2006; Wanjugi et al. 2007a; Feiz et al. 2009b). PIN binding to starch granules is mediated by polar lipids (Greenblatt et al. 1995) and PIN abundance is correlated with seed polar lipid content (Feiz et al. 2009b). Variation in PIN function affects grain hardness along with nearly all end product quality traits (Hogg et al. 2005; Martin et al. 2007, 2008; Wanjugi et al. 2007b; Feiz et al. 2008). Determining PINs'' function-determining regions could lead to greater knowledge of their mode of action and to wheat quality improvements. Current PIN functional analyses have been limited to in vitro tests of binding to each other (Ziemann et al. 2008) or to yeast membranes (Evrard et al. 2008).Here, we report the creation and functional analysis in planta of new alleles of PINA and PINB. This is the first successful in planta functional analysis of a crop plant protein.     

How to lose resistance to Aspergillus infections

The distinct risk factors to deadly infections by Aspergillus fumigatus (Af) in intensive care unit (ICU) patients are well known; however, so far, the mechanistic link between these predisposing conditions has been unknown. Sarden et al. recently unraveled a shared B1a lymphocyte–natural antibody–neutrophil defense pathway to Af, opening new perspectives in diagnostics and therapeutics.     

pH regulates peptide–receptor perception

Diverse plant small peptides are perceived by their corresponding receptors to mediate local or long-distance intercellular communications in various developmental and adaptive programs; notably, the mechanisms of peptide–receptor perception remain largely unrevealed. Two reports (Liu et al.; Diaz-Ardila et al.) shed light on how pH regulates peptide–receptor perception.     

Response to Darting Primates: Steps toward Procedural and Reporting Standards

The safety of primates which are captured and released in the wild is a topic of concern for many field primatologists. Our article and the recent commentary by Fernandez-Duque et al. contribute to the discussion. Although Fernandez-Duque et al. found a slightly higher rate of fatalities (2.5 %) than Cunningham et al. (2.0 %), their combined rate of fatal and serious injuries was lower (4.0 % vs 5.0 %). The differences in rate are not substantial, given limitations of the data. However, as Fernandez-Duque et al. highlight the need for standardizing methods of analysis, we believe the methods they suggest merit careful consideration. We agree that variation in size, habitat, and the experience of the darting team are important factors. Cunningham et al. reported the influence of these factors on injury and fatality rates. There are, however, some important differences in the methods of Cunningham et al. and Fernandez-Duque et al. We believe it is important to 1) acknowledge possible bias in the data, 2) report results of serious complications that arise during capture, 3) report results of capturing medically compromised primates, and 4) report rates of primates falling to the ground.     

The Effect of Recent Admixture on Inference of Ancient Human Population History

Despite the widespread study of genetic variation in admixed human populations, such as African-Americans, there has not been an evaluation of the effects of recent admixture on patterns of polymorphism or inferences about population demography. These issues are particularly relevant because estimates of the timing and magnitude of population growth in Africa have differed among previous studies, some of which examined African-American individuals. Here we use simulations and single-nucleotide polymorphism (SNP) data collected through direct resequencing and genotyping to investigate these issues. We find that when estimating the current population size and magnitude of recent growth in an ancestral population using the site frequency spectrum (SFS), it is possible to obtain reasonably accurate estimates of the parameters when using samples drawn from the admixed population under certain conditions. We also show that methods for demographic inference that use haplotype patterns are more sensitive to recent admixture than are methods based on the SFS. The analysis of human genetic variation data from the Yoruba people of Ibadan, Nigeria and African-Americans supports the predictions from the simulations. Our results have important implications for the evaluation of previous population genetic studies that have considered African-American individuals as a proxy for individuals from West Africa as well as for future population genetic studies of additional admixed populations.STUDIES of archeological and genetic data show that anatomically modern humans originated in Africa and more recently left Africa to populate the rest of the world (Tishkoff and Williams 2002; Barbujani and Goldstein 2004; Garrigan and Hammer 2006; Reed and Tishkoff 2006; Campbell and Tishkoff 2008; Jakobsson et al. 2008; Li et al. 2008). Given the central role Africa has played in the origin of diverse human populations, understanding patterns of genetic variation and the demographic history of populations within Africa is important for understanding the demographic history of global human populations. The availability of large-scale single-nucleotide polymorphism (SNP) data sets coupled with recent advances in statistical methodology for inferring parameters in population genetic models provides a powerful means of accomplishing these goals (Keinan et al. 2007; Boyko et al. 2008; Lohmueller et al. 2009; Nielsen et al. 2009).It is important to realize that studies of African demographic history using genetic data have come to qualitatively different conclusions regarding important parameters. Some recent studies have found evidence for ancient (>100,000 years ago) two- to fourfold growth in African populations (Adams and Hudson 2004; Marth et al. 2004; Keinan et al. 2007; Boyko et al. 2008). Other studies have found evidence of very recent growth (Pluzhnikov et al. 2002; Akey et al. 2004; Voight et al. 2005; Cox et al. 2009; Wall et al. 2009) or could not reject a model with a constant population size (Pluzhnikov et al. 2002; Voight et al. 2005). It is unclear why studies found such different parameter estimates. However, these studies all differ from each other in the amount of data considered, the types of data used (e.g., SNP genotypes vs. full resequencing), the genomic regions studied (e.g., noncoding vs. coding SNPs), and the types of demographic models considered (e.g., including migration vs. not including migration postseparation of African and non-African populations).Another important way in which studies of African demographic history differ from each other is in the populations sampled. Some studies have focused on genetic data from individuals sampled from within Africa (Pluzhnikov et al. 2002; Adams and Hudson 2004; Voight et al. 2005; Keinan et al. 2007; Cox et al. 2009; Wall et al. 2009), while other studies included American individuals with African ancestry (Adams and Hudson 2004; Akey et al. 2004; Marth et al. 2004; Boyko et al. 2008). While there is no clear correspondence between those studies which sampled native African individuals (as opposed to African-Americans) and particular growth scenarios, it is clear from previous studies that African-American populations do differ from African populations in their recent demographic history. In particular, genetic studies suggest that there is wide variation in the degree of European admixture in most African-American individuals in the United States and that they have, on average, ∼80% African ancestry and 20% European ancestry (Parra et al. 1998; Pfaff et al. 2001; Falush et al. 2003; Patterson et al. 2004; Tian et al. 2006; Lind et al. 2007; Reiner et al. 2007; Price et al. 2009; Bryc et al. 2010). Furthermore, both historical records and genetic evidence suggest that the admixture process began quite recently, within the last 20 generations (Pfaff et al. 2001; Patterson et al. 2004; Seldin et al. 2004; Tian et al. 2006). Recent population admixture can alter patterns of genetic variation in a discernible and predictable way. For example, recently admixed populations will exhibit correlation in allele frequencies (i.e., linkage disequilibrium) among markers that differ in frequency between the parental populations. This so-called admixture linkage disequilibrium (LD) (Chakraborty and Weiss 1988) can extend over long physical distances (Lautenberger et al. 2000) and decays exponentially with time the since the admixture process began (i.e., recently admixed populations typically exhibit LD over a longer physical distance than anciently admixed populations).While it is clear that African-American populations have a different recent demographic history than do African populations from within Africa and that admixture tracts can be identified in admixed individuals (Falush et al. 2003; Patterson et al. 2004; Tang et al. 2006; Sankararaman et al. 2008a,b; Price et al. 2009; Bryc et al. 2010), the effect that admixture has on other patterns of genetic variation remains unclear. For example, Xu et al. (2007) found similar LD decay patterns when comparing African-American and African populations. It is also unclear whether the recent admixture affects our ability to reconstruct ancient demographic events (such as expansions that predate the spread of humans out of Africa) from whole-genome SNP data. Most studies of demographic history have summarized the genome-wide SNP data by allele frequency or haplotype summary statistics. If these summary statistics are not sensitive to the recent European admixture, then the African-American samples may yield estimates of demographic parameters that are close to the true demographic parameters for the ancestral, unsampled, African populations. This would suggest that the differences in growth parameter estimates obtained from African populations cannot be explained by certain studies sampling African-American individuals and others sampling African individuals from within Africa. However, if these statistics are sensitive to recent admixture, then they may give biased estimates of growth parameters.Here, we examine the effect of recent admixture on the estimation of population demography. In particular, we estimate growth parameters from simulated data sets using SNP frequencies as well as a recently developed haplotype summary statistic (Lohmueller et al. 2009). We compare the demographic parameter estimates made from the admixed and nonadmixed populations and find that some parameter estimates are qualitatively similar between the two populations when inferred using allele frequencies. Inferences of growth using haplotype-based approaches appear to be more sensitive to recent admixture than inferences based on SNP frequencies. We discuss implications that our results have for interpreting studies of demography in admixed populations.