Distribution of haplotypes and microsatellite alleles among Asian elephants (<Emphasis Type="Italic">Elephas maximus</Emphasis>) in Thailand

Habitat fragmentation often promotes increased inbreeding depression due to interrupted gene flow between populations. In this study, we demonstrate that Asian elephants most likely also suffer from outbreeding depression due to cryptic speciation. We analysed mitochondrial and nuclear DNA loci from 78 Asian elephants. Haplotype genealogy and analysis of molecular variance revealed two matrilinear clades (α _h, β _h). Microsatellite analyses of individuals grouped according to their haplotype clade (corresponding group of nuclear genotypes called α _nuc and β _nuc) revealed significant genotypic differentiation between α _nuc and β _nuc. Such genealogically differentiated forms in a morphologically uniform species are considered indicative of cryptic speciation. The differentiation was caused by bulls, whereas considering cows only resulted in no differentiation. Such result is best explained by Haldane’s rule whereby hybrid formation between genealogical forms causes lower viability and fertility of heterogametic hybrids. Although the lack of hybrid-specific morphological characteristics renders direct testing of reduced hybrid fitness under natural conditions unfeasible, the effects of Haldane’s rule are demonstrated by reduced male-mediated gene flow between genealogical forms under sympatric conditions, as was indeed suggested by the data found in Asian elephants: male-mediated gene flow between groups α _nuc and β _nuc was much lower than female-mediated gene flow. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

An exact test for the association between the disease and alleles at highly polymorphic loci with particular interest in the haplotype analysis

The association analysis between the disease and genetic alleles is one of the simple methods for localizing the susceptibility locus in the genes. For revealing the association, several statistical tests have been proposed without discussing explicitly the alternative hypotheses. We therefore specify two types of alternative hypotheses (i.e., there is only one susceptibility allele in the locus, and there is an extension or shortening of alleles associated with the disease) and derive exact tests for the respective hypotheses. We also propose to combine these two tests when the prior knowledge is not sufficient enough to specify one of these two hypotheses. In particular, these ideas are extended to the haplotype analysis of three-way association between the disease and bivariate allele frequencies at two closely linked loci. As a by-product, a factorization of the probability distribution of the three-way cell frequencies under the null hypothesis of no three-way interaction is obtained.     

Distribution of similar self-incompatibility (<Emphasis Type="Italic">S</Emphasis>) haplotypes in different genera,<Emphasis Type="Italic"> Raphanus</Emphasis> and<Emphasis Type="Italic"> Brassica</Emphasis>

The nucleotide sequences of ten SP11 and nine SRK alleles in Raphanus sativus were determined, and deduced amino acid sequences were compared with those of Brassica SP11 and SRK. The amino acid sequence identity of class-I SP11s in R. sativus was about 30% on average, the highest being 52.2%, while that of the S domain of class-I SRK was 77.0% on average and ranged from 70.8% to 83.9%. These values were comparable to those of SP11 and SRK in Brassica oleracea and B. rapa. SP11 of R. sativus S-21 was found to be highly similar to SP11 of B. rapa S-9 (89.5% amino acid identity), and SRK of R. sativus S-21 was similar to SRK of B. rapa S-9 (91.0%). SP11 and SRK of R. sativus S-19 were also similar to SP11 and SRK of B. oleracea S-20, respectively. These similarities of both SP11 and SRK alleles between R. sativus and Brassica suggest that these S haplotype pairs originated from the same ancestral S haplotypes.     

Mapping genes for resistance to<Emphasis Type="Italic"> Verticillium albo-atrum</Emphasis> in tetraploid and diploid potato populations using haplotype association tests and genetic linkage analysis

Verticillium wilt disease of potato is caused predominantly by Verticillium albo-atrum and V. dahliae. StVe1 —a putative QTL for resistance against V. dahliae —was previously mapped to potato chromosome 9. To develop allele-specific, SNP-based markers within the locus, the StVe1 fragment from a set of 30 North American potato cultivars was analyzed. Three distinct and highly diverse haplotypes can be distinguished at the StVe1 locus. These were detected in 97%, 33%, and 10% of the cultivars analyzed. We tested for haplotype association and for genetic linkage between the StVe1 haplotypes and resistance of tetraploid potato to V. albo-atrum. Moreover, field resistance was assessed in diploid populations with known molecular linkage maps in order to identify novel QTLs. Resistance QTLs against V. albo-atrum were detected on four chromosomes (2, 6, 9, and 12) at the diploid level, with one QTL on chromosome 2 contributing over 40% to the total phenotypic variation of the trait. At the tetraploid level, a significant association between the StVe1-839-C haplotype and susceptibility to the disease was detected, suggesting that resistance-related genes directed against V. albo-atrum and V. dahliae are located in the same genomic region of chromosome 9. However, on the basis of the present analysis, we cannot determine whether these genes are closely linked or if a single gene provides resistance against both Verticillium species. To assess the usefulness of the StVe1-839-C haplotype for marker-assisted selection, we subjected the resistance data to Bayesian analysis, and calculated positive (0.65) and negative (0.75) predictive values, and overall predictive accuracy (0.72). Our results indicate that tagging of additional genes for resistance to Verticillium with molecular markers will be required for efficient marker-assisted selection.Communicated by M.-A. Grandbastien     

Haplotype block and superblock structures of the alpha1-adrenergic receptor genes reveal echoes from the chromosomal past

A significant proportion of the human genome is contained within haplotype blocks across which pairwise linkage disequilibrium (LD) is very high. However, LD is also often high between markers at more remote distances, and within different haplotype blocks. Here, we evaluate the origins of haplotype block structure in the three genes for alpha1 adrenergic receptors (alpha1-AR) in the human genome ( ADRA1A, ADRA1B and ADRA1D) by genotyping dense single-nucleotide polymorphism (SNP) marker maps, and show that LD signals between distant markers are due to the presence of extended haplotype superblocks in individuals with ancient chromosomes which have escaped historic recombination. ARs mediate the physiological effects of epinephrine and norepinephrine, and are targets of many therapeutic drugs. This work has identified haplotype backgrounds of alpha1-AR missense variants, haplotype block structures in US Caucasians and African Americans, and haplotype tag SNPs for each block, and we present strong evidence for ancient haplotype block superstructure at these genes which has been partially disrupted by recombination, and evidence for reinstatement of linkage disequilibrium by subsequent recombination events. ADRA1A is comprised of four haplotype blocks in US Caucasians, while in African Americans Block 1 is split. ADRA1B has four blocks in US Caucasians, but in African Americans only the first two blocks are present. ADRA1D has two blocks in US Caucasians, and the first block is replaced by two smaller blocks in African Americans. For both ADRA1A and ADRA1B, haplotype superstructures may represent a novel, higher-level hierarchy in the human genome, which may reduce redundancy of testing by further aggregation of genotype data.Electronic Supplementary Material Supplementary material is available in the online version of this article at Communicated by W. R. McCombie     

Estrogen receptor alpha and vitamin D receptor gene polymorphisms and bone mineral density: association study of healthy pre- and postmenopausal Chinese women

In the present study, we tested the association between the estrogen receptor alpha (ER-alpha) and vitamin D receptor (VDR) genes with bone mineral density (BMD). A total of 649 healthy Chinese women, classified as pre-menopausal (N=388) and post-menopausal (N=261) groups, were genotyped at the ER-alpha PvuII, XbaI, and VDR ApaI sites. BMDs at the lumbar spine (L(1)-L(4)) and total hip were measured by dual-energy X-ray absorptiometry. For the VDR ApaI locus, AA carriers had lower spine BMD than Aa (p=0.02) and aa carriers (p<0.01) in the pre-menopausal group. For the ER-alpha gene, carriers of haplotype px had lower spine BMD than the non-carriers (p=0.03) in the pre-menopausal group. Furthermore, we observed significant interaction between the ER-alpha and VDR genes in the post-menopausal group: with AA genotype (or A allele) at the VDR ApaI locus, pX carriers had higher spine BMD than the non-carriers (p=0.02), and PX carriers had lower hip BMD than the non-carriers (p=0.04). Our data suggest that the ER-alpha and VDR genes may be associated with the BMD variation in Chinese women.     

The new HNO donor, 1-nitrosocyclohexyl acetate, increases contractile force in normal and β-adrenergically desensitized ventricular myocytes

Haplotype, which is the sequence of SNPs in a specific chromosome, plays an important role in disease association studies. However, current sequencing techniques can detect the presence of SNP sites, but they cannot tell which copy of a pair of chromosomes the alleles belong to. Moreover, sequencing errors that occurred in sequencing SNP fragments make it difficult to determine a pair of haplotypes from SNP fragments. To help overcome this difficulty, the haplotype assembly problem is defined from the viewpoint of computation, and several models are suggested to tackle this problem. However, there are no freely available web-based tools to overcome this problem as far as we are aware. In this paper, we present a web-based application based on the genetic algorithm, named HapAssembler, for assembling a pair of haplotypes from SNP fragments. Numerical results on real biological data show that the correct rate of the proposed application in this paper is greater than 95% in most cases. HapAssembler is freely available at http://alex.chonnam.ac.kr/~drminor/hapHome.htm. Users can choose any model among four models for their purpose and determine haplotypes from their input data.     

Estimating Haplotype Effects for Survival Data

Summary Genetic association studies often investigate the effect of haplotypes on an outcome of interest. Haplotypes are not observed directly, and this complicates the inclusion of such effects in survival models. We describe a new estimating equations approach for Cox's regression model to assess haplotype effects for survival data. These estimating equations are simple to implement and avoid the use of the EM algorithm, which may be slow in the context of the semiparametric Cox model with incomplete covariate information. These estimating equations also lead to easily computable, direct estimators of standard errors, and thus overcome some of the difficulty in obtaining variance estimators based on the EM algorithm in this setting. We also develop an easily implemented goodness‐of‐fit procedure for Cox's regression model including haplotype effects. Finally, we apply the procedures presented in this article to investigate possible haplotype effects of the PAF‐receptor on cardiovascular events in patients with coronary artery disease, and compare our results to those based on the EM algorithm.     

A novel strategy for defining haplotypes by selective depletion using restriction enzymes

Various single nucleotide polymorphisms (SNPs) have been investigated regarding association with gene expression levels or human diseases. Although different SNPs within one gene are frequently analyzed individually, it is highly probable that in the majority of the cases, a precise combination of SNP alleles, i.e., haplotype, determines a functional trait. Methods commonly used for haplotype determination, involving studies in families, cloning, or somatic cell hybrids, are expensive and time-consuming. We herein suggest a novel and simple strategy for haplotype determination, involving selective haplotype depletion with a restriction enzyme, followed by sequencing. We studied 11 LTA gene polymorphisms in 102 Brazilian individuals, and we applied this novel methodology for haplotyping 67 out of 70 LTA heterozygous individuals. We concluded that the method is rapid and efficient, and, as it includes only simple and widespread-used techniques, it could be used in most of the laboratories without further investment in equipments. The wider usage of haplotyping could be important to clarify contradictory results frequently observed among studies that focus on a single SNP. Maria Gerbase-DeLima and Andrey Morgun are co-senior authors.