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链霉菌的rep-PCR基因指纹分析 总被引:12,自引:1,他引:12
对重复片段PCR(repPCR)基因指纹分析应用于链霉菌分子分型进行研究,结果表明repPCR基因指纹分析具有分辨率高、稳定、重现性好、简便易行等特点,在一定程度上与16S rDNA 序列比较结果相一致,是一种快速而有效的DNA指纹技术,能反映出链霉菌种和菌株水平的基因型、系统发育和分类学关系,可应用于种及以下水平的分类和快速鉴定,尤其适用于分析大量的菌株或分离株。 相似文献
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Advances in sequencing technologies are allowing genome-wide association studies at an ever-growing scale. The interpretation of these studies requires dealing with statistical and combinatorial challenges, owing to the multi-factorial nature of human diseases and the huge space of genomic markers that are being monitored. Recently, it was proposed that using protein–protein interaction network information could help in tackling these challenges by restricting attention to markers or combinations of markers that map to close proteins in the network. In this review, we survey techniques for integrating genomic variation data with network information to improve our understanding of complex diseases and reveal meaningful associations. 相似文献
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Genomic fingerprints of C. michiganensis subsp. sepedonicus were generated by CHEF gel electrophoresis of restriction digested high-molecular weight DNA. Low levels of intra-subspecific
variation were detected by cluster analysis of the fingerprints. Four haplotypes were identified by genomic fingerprinting
with HindIII, and eight were identified with EcoRI. Haplotypes generated with HindIII were less similar than those generated by EcoRI. Haplotypes generated with HindIII formed groups that corresponded well with plant reactions of the strains, but similar types of groupings were less apparent
with haplotypes generated with EcoRI. When disease severity in eggplant and potato, population size in potato, and ability to induce a hypersensitive response
(HR) in tobacco were overlaid onto dendograms of genetic similarity, avirulent HR-negative strains clustered separately from
virulent HR-positive strains in both EcoRI and HindIII profiles. Avirulent HR-positive strains that lack pCS1 clustered with avirulent HR-negative strains in a EcoRI dendogram, but clustered with virulent HR-positive strains in a HindIII dendogram. Genomic fingerprinting of high-molecular weight DNA fragments provided a means for detecting genomic variability
associated with virulence in C. michiganensis subsp. sepedonicus.
Received: 1 March 2001 / Accepted: 7 June 2001 相似文献
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Molecular genetic techniques have come a long way in the last decade. With the advent of PCR, genetic markers are now accessible for all organisms, including mites. However, there is usually a trade-off between the accuracy of the molecular technique or genetic marker and expediency. In mites, many molecular techniques are not applicable due to their small size. Here we describe a relatively new molecular fingerprinting technique, amplified fragment length polymorphism (AFLP), which is currently used widely in plant genomic research. We outline the AFLP procedure adapted for mites, show results using this technique from our own research and discuss the benefits and limitations of AFLPs for assessing genetic variation and for genome mapping. It is our intention to highlight the possible use of AFLPs as genetic markers with a broad application in acarological research. 相似文献
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水稻Rim2/Hipa 超级家族的基因组变异和基于Rim2/Hipa 展示的水稻资源的系统进化和指纹分析 总被引:1,自引:0,他引:1
水稻Rim2/Hipa是最近鉴定的一个受逆境诱导的转座因子超级家族.研究表明,Rim2的核心序列在不同来源的水稻材料中存在显著的差异,暗示Rim2家族的长期进化历程.基于Rim2因子间的差异性以及该因子的静止状态,开发出一种利用Rim2因子展示的新的分子指纹技术,可以灵敏地区分不同水稻资源以及它们的遗传关系.仅用5对引物就可以清楚地将53个栽培稻和普通野生稻材料鉴定出来,并可将它们分为不同的系统进化组.研究表明不仅在水稻资源而且在野生稻种质间均存在明显的多样性.野生稻可以被单独分组,或者分散在粳稻中间.这种新的指纹技术还可以将水稻的杂交子代和它们的亲本区分出来,并可用于种子纯度的鉴定,在水稻基因组进化研究、水稻育种和种子生产中有很好的应用前景. 相似文献
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We used a large panel of pedigreed, genetically admixed house mice to study patterns of recombination rate variation in a leading mammalian model system. We found considerable inter-individual differences in genomic recombination rates and documented a significant heritable component to this variation. These findings point to clear variation in recombination rate among common laboratory strains, a result that carries important implications for genetic analysis in the house mouse.THE rate of recombination—the amount of crossing over per unit DNA—is a key parameter governing the fidelity of meiosis. Recombination rates that are too high or too low frequently give rise to aneuploid gametes or prematurely arrest the meiotic cell cycle (Hassold and Hunt 2001). As a consequence, recombination rates should experience strong selective pressures to lie within the range defined by the demands of meiosis (Coop and Przeworski 2007). Nonetheless, classical genetic studies in Drosophila (Chinnici 1971; Kidwell 1972; Brooks and Marks 1986), crickets (Shaw 1972), flour beetles (Dewees 1975), and lima beans (Allard 1963) have shown that considerable inter-individual variation for recombination rate is present within populations. Recent studies examining the transmission of haplotypes in human pedigrees have corroborated these findings (Broman et al. 1998; Kong et al. 2002; Coop et al. 2008).Here, we use a large panel of heterogeneous stock (HS) mice to study variation in genomic recombination rates in a genetic model system. These mice are genetically admixed, derived from an initial generation of pseudorandom mating among eight common inbred laboratory strains (DBA/2J, C3H/HeJ, AKR/J, A/J, BALB/cJ, CBA/J, C57BL/6J, and LP/J), followed by >50 generations of pseudorandom mating in subsequent hybrid cohorts (Mott et al. 2000; Demarest et al. 2001). The familial relationships among animals in recent generations were tracked to organize the mice into pedigrees. In total, this HS panel includes ∼2300 animals comprising 85 families, 8 of which span multiple generations. The remainder consists of nuclear families (sibships) that range from 1 to 34 sibs, with an average of 9.6 sibs (Valdar et al. 2006) (Mott et al. 2000; Demarest et al. 2001; Shifman et al. 2006).
Open in a separate windowaThis family was composed of two sibships sharing a common mother but with different fathers.With the exception of several founding individuals, most of these HS mice have been genotyped at 13,367 single nucleotide polymorphisms (SNPs) across the genome (available at http://gscan.well.ox.ac.uk/). Although the publicly available HS genotypes have passed data quality filters (Shifman et al. 2006), we took several additional measures to ensure the highest possible accuracy of base calls. First, data were cleansed of all non-Mendelian inheritances, and genotypes with quality scores <0.4 were removed. Genotypes that resulted in tight (<10 cM in sex-specific distance) double recombinants were also omitted because strong positive crossover interference in the mouse renders such closely spaced crossovers biologically very unlikely (Broman et al. 2002). A total of 10,195 SNPs (including 298 on the X chromosome) passed these additional quality control criteria; the results presented below consider only this subset of highly accurate (>99.98%) and complete (<0.01% missing) genotypes. The cleaned data are publicly available (at http://cgd.jax.org/mousemapconverter/).We used the chrompic program within CRI-MAP (Lander and Green 1987; Green et al. 1990) to estimate the number of recombination events in parental meioses. The algorithm implemented in chrompic first phases parent and offspring genotypes using a maximum-likelihood approach. Next, recombination events occurring in the parental germline are identified by comparing parent and offspring haplotypes across the genome (Green et al. 1990). For example, a haplotype that first copies from one maternal chromosome and then switches to copying from the other maternal chromosome signals a recombination event in the maternal germline.chrompic is very memory intensive and cannot handle the multigenerational pedigrees and the large sibships included in the HS panel. To circumvent these computational limitations, several modifications to the data were implemented. First, the eight multigenerational pedigrees were split into 102 nonoverlapping sibships, retaining grandparental information when available (Cox et al. 2009). Finally, large sibships were subdivided: sibships with >13 progeny were split into two groups: those with >26 progeny were split into three groups and those with >39 sibs were split into four groups. Partitioning large sibships by units of 10, 11, or 12, rather than 13, had no effect on the estimation of crossover counts, suggesting that the estimates were robust to the unit of subdivision. These subdivided families were used only for haplotype inference; all other analyses treated whole sibships as focal units. In total, we analyzed 132 nonoverlapping sibships, ranging in size from 2 to 48 sibs (mean = 13.9). This data set encompassed 3640 meioses—300–2000% more meioses than previously studied human pedigrees (Broman et al. 1998; Kong et al. 2002; Coop et al. 2008)—providing excellent power to detect recombination rate variation among individuals.The recombination rate for the maternal (or paternal) parent of a given sibship was estimated as the average number of recombination events in the haploid maternal (or paternal) genomes transmitted to her (or his) offspring. Our analyses treat males and females separately, as previous observations in mice (Murray and Snell 1945; Mallyon 1951; Reeves et al. 1990; Dietrich et al. 1996; Shifman et al. 2006; Paigen et al. 2008), along with findings from this study, point to systematically higher recombination rates in female than in male mice (this study: P < 2.2 × 10−16, Mann–Whitney U-Test comparing autosomal crossover counts in the 131 HS females to those in the 131 HS males).There is considerable recombination rate heterogeneity among the 131 mothers and 131 fathers in the HS pedigrees (Figure 1). The female with the highest recombination rate had an average of nearly twice as many crossovers per meiosis compared with the lowest (female range: 9.0–17.3; mean = 13.3; SD = 3.28). Similarly, the least actively recombining male had only 55% the amount of recombination as the male with the highest recombination rate (male range: 7.7–14.7; mean = 11.7; SD = 2.76). These average values are similar to previously reported recombination counts in house mice, determined using both cytological (Dumas and Britton-Davidian 2002; Koehler et al. 2002) and genetic (Dietrich et al. 1996) approaches. Note that the recombination rates that we report reflect the number of exchange events visible in genetic data. Under the assumption of no chromatid interference, the expected number of crossovers that occur at meiosis is equal to twice these values.Open in a separate windowFigure 1.—Variation in recombination frequency in HS mice. The mean number of recombination events per transmitted gamete in each mother (A; n = 131) and father (B; n = 131) was inferred by comparing parent and offspring genotypes at >10,000 autosomal and X-linked markers using the CRIMAP chrompic computer program. Error bars span ±2 SEs.To test for variation in recombination within the HS females and within the HS males, we performed a one-way ANOVA using parental identity as the factor and the recombination count for a single haploid genome transmission on the pedigree as the response variable. Significance of the resultant F-statistic was empirically assessed by randomizing parental identity with respect to individual recombination counts, recomputing the F-statistic on the permuted data set, and determining the quantile position of the observed F-statistic along the distribution of 106 F-statistics derived from randomization. There is highly significant variation for genomic recombination rate among HS females (F = 1.7842, P < 10−6; Figure 1A) and males (F = 2.3103, P < 10−6; Figure 1B).We next examined patterns of recombination rate inheritance using the eight complex families to test for heritability of this trait. We fit a polygenic model of inheritance using the polygenic command within SOLAR v.4, accounting for the uneven relatedness among individuals through a matrix of pairwise coefficients of relatedness (Almasy and Blangero 1998). Sex was included as a covariate in the model to account for the well-established differences between male and female recombination rates in mice (Murray and Snell 1945; Mallyon 1951; Reeves et al. 1990; Dietrich et al. 1996; Shifman et al. 2006; Paigen et al. 2008). Recombination rates show significant narrow-sense heritability (h2 = 0.46; SE = 0.20; P = 0.008), indicating that variation for recombination rate among HS mice is partly attributable to additive genetic variation. This result agrees with previous evidence for genetic effects on recombination rate variation in the house mouse (Reeves et al. 1990; Shiroishi et al. 1991; Koehler et al. 2002).In summary, we have shown that HS mice differ significantly in their genomic recombination rates and have demonstrated that this variation is heritable. These findings indicate that interstrain variation for genomic average recombination rate exists among at least two of the eight progenitor strains of the HS stock, mirroring observations of significant variation among inbred laboratory strains for many other quantitative characters (Grubb et al. 2009). Indeed, cytological analyses have already revealed significant differences in recombination frequencies between A/J and C57BL/6J males (Koehler et al. 2002), two of the HS founding strains.This interstrain variation in genomic recombination rate carries important practical implications for genetic analysis in the house mouse. Most notably, crosses using inbred mouse strains with high recombination rates will provide higher mapping resolution than crosses using strains with reduced recombination rates. However, the strategic use of high-recombination-rate strains will not necessarily expedite the fine mapping of loci. The distribution of recombination events in mice is not uniform across chromosomes and appears to be strain specific (Paigen et al. 2008; Grey et al. 2009; Parvanov et al. 2009).The history of the classical inbred mouse strains as inferred from pedigrees (Beck et al. 2000), sequence comparisons to wild mice (Salcedo et al. 2007), and genomewide phylogenetic analyses (Frazer et al. 2007; Yang et al. 2007) suggests that much of the interstrain variation for recombination rate arises from genetic polymorphism among Mus domesticus individuals in nature. However, many other factors have likely shaped recombination rate variation among the classical strains, including inbreeding, artificial selection, and hybridization with closely related species (Wade and Daly 2005). These aspects of the laboratory mouse''s history challenge comparisons between recombination rate variation in the HS panel and human populations and provide strong motivation for studies of recombination rate variation in natural populations of house mice.Although we find a strong genetic component to inter-individual variation in recombination rate, a large fraction (∼54%) of the phenotypic variation for recombination is not explained by additive genetic variation alone. Sampling error and other forms of genetic variation (e.g., dominance and epistasis) likely combine to account for some of the residual variation. In addition, micro-environmental differences within the laboratory setting (Koren et al. 2002) and life history differences among families, including parental age (Koehler et al. 2002; Kong et al. 2004), might contribute to variation in recombination rates among the HS mice.Identifying the genetic loci that underlie recombination rate differences among the HS mice (and hence in the eight founding inbred strains) presents a logical next step in the research program initiated here. The complicated pedigree structure, relatively small number of animals with recombination rate estimates (n = 262), and potentially sex-specific genetic architecture of this trait (Kong et al. 2008; Paigen et al. 2008) will pose challenges to this analysis. Nonetheless, dissecting the genetic basis of recombination rate variation is a pursuit motivated by its potential to lend key insights into several enduring questions. Why do males and females differ in the rate and distribution of crossover events? What are the evolutionary mechanisms that give rise to intraspecific polymorphism and interspecific divergence for recombination rate? What are the functional consequences of recombination rate variation? Alternative experimental approaches, including those that combine the power of QTL mapping with immunocytological assays for measuring recombination rates in situ (Anderson et al. 1999), promise to offer additional clues onto the genetic mechanisms that give rise to variation in this important trait. 相似文献
TABLE 1
Heterogeneous stock mouse pedigreesPedigree | Pedigree class | No. of nonoverlapping sibships in the pedigree | No. of retained sibships | No. of meioses |
---|---|---|---|---|
1 | Multigenerational | 17 | 17 | 464 |
2 | Multigenerational | 27 | 20 | 728 |
3 | Multigenerational | 23 | 19 | 602 |
4 | Multigenerational | 14 | 9 | 254 |
5 | Multigenerational | 11 | 9 | 242 |
6 | Multigenerational | 5 | 3 | 68 |
7 | Multigenerational | 4 | 3 | 100 |
8 | Multigenerational | 2 | 1 | 16 |
9 | Sibshipa | 2 | 1 | 20 |
32–85 | Sibship | 51 | 1146 | |
Total | 180 | 132 | 3640 |
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Genomic DNA Fingerprinting of Oenococcus oeni Strains by Pulsed-Field Gel Electrophoresis and Randomly Amplified Polymorphic DNA-PCR 总被引:4,自引:0,他引:4
Genetic diversity of 60 Oenococcus oeni strains from different wines was evaluated by numerical analysis of (i) pulsed-field gel electrophoresis (PFGE) patterns
with endonuclease ApaI and (ii) randomly amplified polymorphic DNA (RAPD)-PCR fingerprints with four oligonucleotide primers. Sixty-two percent
of the strains could be distinguished by PFGE, whereas most strains were identified by distinct RAPD-PCR profiles and associated
according to the geographical origin. Because of its rapidity and reliability, RAPD-PCR appeared to be a suitable method for
typing and monitoring O. oeni strains in winemaking.
Received: 3 November 1999 / Accepted: 8 December 1999 相似文献
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William Amos 《PloS one》2013,8(4)
The “heterozygote instability” (HI) hypothesis suggests that gene conversion events focused on heterozygous sites during meiosis locally increase the mutation rate, but this hypothesis remains largely untested. As humans left Africa they lost variability, which, if HI operates, should have reduced the mutation rate in non-Africans. Relative substitution rates were quantified in diverse humans using aligned whole genome sequences from the 1,000 genomes project. Substitution rate is consistently greater in Africans than in non-Africans, but only in diploid regions of the genome, consistent with a role for heterozygosity. Analysing the same data partitioned into a series of non-overlapping 2 Mb windows reveals a strong, non-linear correlation between the amount of heterozygosity lost “out of Africa” and the difference in substitution rate between Africans and non-Africans. Putative recent mutations, derived variants that occur only once among the 80 human chromosomes sampled, occur preferentially at the centre of 2 Kb windows that have elevated heterozygosity compared both with the same region in a closely related population and with an immediately adjacent region in the same population. More than half of all substitutions appear attributable to variation in heterozygosity. This observation provides strong support for HI with implications for many branches of evolutionary biology. 相似文献
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T. S. Reese 《The Journal of cell biology》1965,25(2):209-230
Olfactory epithelium from the frog was examined in the living state by light microscopy and in the fixed state by electron microscopy. Particular attention was paid to the layer of cilia and mucus which covers the surface of the epithelium. The olfactory cilia differed from typical cilia in that they (a) arose from bipolar neurons and had centrioles near their basal bodies, (b) were up to 200 microns in length, of which the greater part was a distal segment containing an atypical array of ciliary fibers, (c) were often immotile, (d) had their distal segments arranged in parallel rows near the surface of the mucus, and (e) had many vesicles along their shafts and had splits in the array of fibers in their distal segments. These specializations make the olfactory cilia similar to cilia found on other sensory cells and support the theory that they are the locus where electrical excitation in the olfactory organ is initiated by contact with odorous substances. 相似文献
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Jinchuan Xing Tana Wuren Tatum S. Simonson W. Scott Watkins David J. Witherspoon Wilfred Wu Ga Qin Chad D. Huff Lynn B. Jorde Ri-Li Ge 《PLoS genetics》2013,9(7)
Deedu (DU) Mongolians, who migrated from the Mongolian steppes to the Qinghai-Tibetan Plateau approximately 500 years ago, are challenged by environmental conditions similar to native Tibetan highlanders. Identification of adaptive genetic factors in this population could provide insight into coordinated physiological responses to this environment. Here we examine genomic and phenotypic variation in this unique population and present the first complete analysis of a Mongolian whole-genome sequence. High-density SNP array data demonstrate that DU Mongolians share genetic ancestry with other Mongolian as well as Tibetan populations, specifically in genomic regions related with adaptation to high altitude. Several selection candidate genes identified in DU Mongolians are shared with other Asian groups (e.g., EDAR), neighboring Tibetan populations (including high-altitude candidates EPAS1, PKLR, and CYP2E1), as well as genes previously hypothesized to be associated with metabolic adaptation (e.g., PPARG). Hemoglobin concentration, a trait associated with high-altitude adaptation in Tibetans, is at an intermediate level in DU Mongolians compared to Tibetans and Han Chinese at comparable altitude. Whole-genome sequence from a DU Mongolian (Tianjiao1) shows that about 2% of the genomic variants, including more than 300 protein-coding changes, are specific to this individual. Our analyses of DU Mongolians and the first Mongolian genome provide valuable insight into genetic adaptation to extreme environments. 相似文献
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香果树组织培养过程中遗传变异的RAPD分析 总被引:1,自引:0,他引:1
用RAPD分子标记方法,从DNA水平上分析野生型香果树以及通过器官发生途径和体细胞胚胎发生途径得到的香果树再生植株以及体细胞胚胎发生过程中不同继代次数的培养物之间的遗传变异。筛选了100个随机引物,其中有75条随机引物能够扩增出条带,从中选取11个引物进行PCR扩增的结果显示:香果树体细胞胚胎无性系中有RAPD多态性位点,在胚性愈伤组织中也检测到少数RAPD变异位点。表明RAPD分子标记方法可以鉴定香果树组织培养过程中的遗传变异。 相似文献
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Non-coding genomic regions in complex eukaryotes, including intergenic areas, introns, and untranslated segments of exons, are profoundly non-random in their nucleotide composition and consist of a complex mosaic of sequence patterns. These patterns include so-called Mid-Range Inhomogeneity (MRI) regions -- sequences 30-10000 nucleotides in length that are enriched by a particular base or combination of bases (e.g. (G+T)-rich, purine-rich, etc.). MRI regions are associated with unusual (non-B-form) DNA structures that are often involved in regulation of gene expression, recombination, and other genetic processes (Fedorova & Fedorov 2010). The existence of a strong fixation bias within MRI regions against mutations that tend to reduce their sequence inhomogeneity additionally supports the functionality and importance of these genomic sequences (Prakash et al. 2009).Here we demonstrate a freely available Internet resource -- the Genomic MRI program package -- designed for computational analysis of genomic sequences in order to find and characterize various MRI patterns within them (Bechtel et al. 2008). This package also allows generation of randomized sequences with various properties and level of correspondence to the natural input DNA sequences. The main goal of this resource is to facilitate examination of vast regions of non-coding DNA that are still scarcely investigated and await thorough exploration and recognition. 相似文献
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Ann Reynolds 《American journal of human genetics》1995,56(3):816-817
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Rocio Acuna-Hidalgo Tan Bo Michael?P. Kwint Maartje van?de?Vorst Michele Pinelli Joris?A. Veltman Alexander Hoischen Lisenka?E.L.M. Vissers Christian Gilissen 《American journal of human genetics》2015,97(1):67-74
De novo mutations are recognized both as an important source of genetic variation and as a prominent cause of sporadic disease in humans. Mutations identified as de novo are generally assumed to have occurred during gametogenesis and, consequently, to be present as germline events in an individual. Because Sanger sequencing does not provide the sensitivity to reliably distinguish somatic from germline mutations, the proportion of de novo mutations that occur somatically rather than in the germline remains largely unknown. To determine the contribution of post-zygotic events to de novo mutations, we analyzed a set of 107 de novo mutations in 50 parent-offspring trios. Using four different sequencing techniques, we found that 7 (6.5%) of these presumed germline de novo mutations were in fact present as mosaic mutations in the blood of the offspring and were therefore likely to have occurred post-zygotically. Furthermore, genome-wide analysis of “de novo” variants in the proband led to the identification of 4/4,081 variants that were also detectable in the blood of one of the parents, implying parental mosaicism as the origin of these variants. Thus, our results show that an important fraction of de novo mutations presumed to be germline in fact occurred either post-zygotically in the offspring or were inherited as a consequence of low-level mosaicism in one of the parents. 相似文献