Murine segmental duplications are hot spots for chromosome and gene evolution

Mouse and rat genomic sequences permit us to obtain a global view of evolutionary rearrangements that have occurred between the two species and to define hallmarks that might underlie these events. We present a comparative study of the sequence assemblies of mouse and rat genomes and report an enrichment of rodent-specific segmental duplications in regions where synteny is not preserved. We show that segmental duplications present higher rates of molecular evolution and that genes in rearranged regions have evolved faster than those located elsewhere. Previous studies have shown that synteny breakpoints between the mouse and the human genomes are enriched in human segmental duplications, suggesting a causative connection between such structures and evolutionary rearrangements. Our work provides further evidence to support the role of segmental duplications in chromosomal rearrangements in the evolution of the architecture of mammalian chromosomes and in the speciation processes that separate the mouse and the rat.     

Genome-wide detection of copy number variants in European autochthonous and commercial pig breeds by whole-genome sequencing of DNA pools identified breed-characterising copy number states

In this study, we identified copy number variants (CNVs) in 19 European autochthonous pig breeds and in two commercial breeds (Italian Large White and Italian Duroc) that represent important genetic resources for this species. The genome of 725 pigs was sequenced using a breed-specific DNA pooling approach (30–35 animals per pool) obtaining an average depth per pool of 42×. This approach maximised CNV discovery as well as the related copy number states characterising, on average, the analysed breeds. By mining more than 17.5 billion reads, we identified a total of 9592 CNVs (~683 CNVs per breed) and 3710 CNV regions (CNVRs; 1.15% of the reference pig genome), with an average of 77 CNVRs per breed that were considered as private. A few CNVRs were analysed in more detail, together with other information derived from sequencing data. For example, the CNVR encompassing the KIT gene was associated with coat colour phenotypes in the analysed breeds, confirming the role of the multiple copies in determining breed-specific coat colours. The CNVR covering the MSRB3 gene was associated with ear size in most breeds. The CNVRs affecting the ELOVL6 and ZNF622 genes were private features observed in the Lithuanian Indigenous Wattle and in the Turopolje pig breeds respectively. Overall, the genome variability unravelled here can explain part of the genetic diversity among breeds and might contribute to explain their origin, history and adaptation to a variety of production systems.     

质粒拷贝数的测定方法

在研究生物工程重组蛋白产量的过程中 ,质粒的拷贝数是一个需要重点考虑的参数 ,对它进行精确定量至关重要。本文概述了几种主要的测定方法的原理和特点。     

Haplotype structure and copy number polymorphism of the beta‐defensin 7 genes in diverse chicken breeds

Beta‐defensins is a family of avian peptides related to the innate immune system. Copy number variation was recently reported for the avian beta‐defensin 7 gene (AvBD7) between the highly inbred Leghorn and Fayoumi lines. Here, we examined copy number variants in 35 different chicken breeds and found that 31 of them have at least the same representation of the duplicated AvBD7 allele. We also found haplotypes upstream of the AvBD6 regions that are strongly linked to the AvBD7 duplication. We observed a strong linkage disequilibrium spanning of the upstream region of the AvBD6 gene, with two SNPs being flanking markers to detect duplication of the AvBD7.     

Copy number variants in a highly inbred Iberian porcine strain

We carried out a comprehensive genomic analysis of porcine copy number variants (CNVs) based on whole‐genome SNP genotyping data and provided new measures of genomic diversity (number, length and distribution of CNV events) for a highly inbred strain (the Guadyerbas strain). This strain represents one of the most ancient surviving populations of the Iberian breed, and it is currently in serious danger of extinction. CNV detection was conducted on the complete Guadyerbas population, adjusted for genomic waves, and used strict quality criteria, pedigree information and the latest porcine genome annotation. The analysis led to the detection of 65 CNV regions (CNVRs). These regions cover 0.33% of the autosomal genome of this particular strain. Twenty‐nine of these CNVRs were identified here for the first time. The relatively low number of detected CNVRs is in line with the low variability and high inbreeding estimated previously for this Iberian strain using pedigree, microsatellite or SNP data. A comparison across different porcine studies has revealed that more than half of these regions overlap with previously identified CNVRs or multicopy regions. Also, a preliminary analysis of CNV detection using whole‐genome sequence data for four Guadyerbas pigs showed overlapping for 16 of the CNVRs, supporting their reliability. Some of the identified CNVRs contain relevant functional genes (e.g., the SCD and USP15 genes), which are worth being further investigated because of their importance in determining the quality of Iberian pig products. The CNVR data generated could be useful for improving the porcine genome annotation.     

Rare copy number variation in extremely impulsively violent males

The genetic correlates of extreme impulsive violence are poorly understood, and there have been no studies that have systematically characterized a large group of affected individuals both clinically and genetically. We performed a genome‐wide rare copy number variant (CNV) analysis in 281 males from four Czech prisons who met strict clinical criteria for extreme impulsive violence. Inclusion criteria included age ≥ 18 years, an ICD‐10 diagnosis of Dissocial Personality Disorder, and the absence of an organic brain disorder. Participants underwent a structured psychiatric assessment to diagnose extreme impulsive violence and then provided a blood sample for genetic analysis. DNA was genotyped and CNVs were identified using Illumina HumanOmni2.5 single‐nucleotide polymorphism array platform. Comparing with 10851 external population controls, we identified 828 rare CNVs (frequency ≤ 0.1% among control samples) in 264 participants. The CNVs impacted 754 genes, with 124 genes impacted more than once (2‐25 times). Many of these genes are associated with autosomal dominant or X‐linked disorders affecting adult behavior, cognition, learning, intelligence, specifically expressed in the brain and relevant to synapses, neurodevelopment, neurodegeneration, obesity and neuropsychiatric phenotypes. Specifically, we identified 31 CNVs of clinical relevance in 31 individuals, 59 likely clinically relevant CNVs in 49 individuals, and 17 recurrent CNVs in 65 individuals. Thus, 123 of 281 (44%) individuals had one to several rare CNVs that were indirectly or directly relevant to impulsive violence. Extreme impulsive violence is genetically heterogeneous and genomic analysis is likely required to identify, further research and specifically treat the causes in affected individuals.     

Low copy number plasmid vectors for gene cloning and for monitoring gene expression

Abstract Derivatives of an IncW incompatibility plasmid with a low copy number are described which can be used for gene cloning or for analysing gene expression in conditions similar to those found in the host chromosome. Gene expression can be monitored after construction of operon or protein fusions with the lacZYA operon and measurement in Escherichia coli of the β-galactosidase activity.     

Enhancement of bovine growth hormone gene expression by increasing the plasmid copy number

Effect of copy number on the expression of bovine growth hormone gene (bGH) was investigated using the copy number mutants such as pKBJ10, pBJ( tet)10, pUBJ10-1, and pUBJ10 plasmids. The cells harboring plasmids below 84 copies/cell did not produced detectable levels of bGH. When the ColE1 replicon was replaced with the mutated ColE1 replicon originated from pUC19 plasmid, the copy number was increased to about 300 copies/cell and bGH production was enhanced by 11.5% (pUBJ10-1) and 12.3% of total cell protein (pUBJ10). A large amount of mRNA caused by increment of copy number would be needed to overcome some inhibitory threshold and might be an important factor for regulating bGH expression.     

Patchwork: allele-specific copy number analysis of whole-genome sequenced tumor tissue

Whole-genome sequencing of tumor tissue has the potential to provide comprehensive characterization of genomic alterations in tumor samples. We present Patchwork, a new bioinformatic tool for allele-specific copy number analysis using whole-genome sequencing data. Patchwork can be used to determine the copy number of homologous sequences throughout the genome, even in aneuploid samples with moderate sequence coverage and tumor cell content. No prior knowledge of average ploidy or tumor cell content is required. Patchwork is freely available as an R package, installable via R-Forge (http://patchwork.r-forge.r-project.org/).     

Neither cardiac mitochondrial DNA variation nor copy number contribute to congenital heart disease risk

The well-established manifestation of mitochondrial mutations in functional cardiac disease (e.g., mitochondrial cardiomyopathy) prompted the hypothesis that mitochondrial DNA (mtDNA) sequence and/or copy number (mtDNAcn) variation contribute to cardiac defects in congenital heart disease (CHD). MtDNAcns were calculated and rare, non-synonymous mtDNA mutations were identified in 1,837 CHD-affected proband-parent trios, 116 CHD-affected singletons, and 114 paired cardiovascular tissue/blood samples. The variant allele fraction (VAF) of heteroplasmic variants in mitochondrial RNA from 257 CHD cardiovascular tissue samples was also calculated. On average, mtDNA from blood had 0.14 rare variants and 52.9 mtDNA copies per nuclear genome per proband. No variation with parental age at proband birth or CHD-affected proband age was seen. mtDNAcns in valve/vessel tissue (320 ± 70) were lower than in atrial tissue (1,080 ± 320, p = 6.8E?21), which were lower than in ventricle tissue (1,340 ± 280, p = 1.4E?4). The frequency of rare variants in CHD-affected individual DNA was indistinguishable from the frequency in an unaffected cohort, and proband mtDNAcns did not vary from those of CHD cohort parents. In both the CHD and the comparison cohorts, mtDNAcns were significantly correlated between mother-child, father-child, and mother-father. mtDNAcns among people with European (mean = 52.0), African (53.0), and Asian haplogroups (53.5) were calculated and were significantly different for European and Asian haplogroups (p = 2.6E?3). Variant heteroplasmic fraction (HF) in blood correlated well with paired cardiovascular tissue HF (r = 0.975) and RNA VAF (r = 0.953), which suggests blood HF is a reasonable proxy for HF in heart tissue. We conclude that mtDNA mutations and mtDNAcns are unlikely to contribute significantly to CHD risk.     

tRNA gene copy number variation in humans

The human tRNAome consists of more than 500 interspersed tRNA genes comprising 51 anticodon families of largely unequal copy number. We examined tRNA gene copy number variation (tgCNV) in six individuals; two kindreds of two parents and a child, using high coverage whole genome sequence data. Such differences may be important because translation of some mRNAs is sensitive to the relative amounts of tRNAs and because tRNA competition determines translational efficiency vs. fidelity and production of native vs. misfolded proteins. We identified several tRNA gene clusters with CNV, which in some cases were part of larger iterations. In addition there was an isolated tRNALysCUU gene that was absent as a homozygous deletion in one of the parents. When assessed by semiquantitative PCR in 98 DNA samples representing a wide variety of ethnicities, this allele was found deleted in hetero- or homozygosity in all groups at ~ 50% frequency. This is the first report of copy number variation of human tRNA genes. We conclude that tgCNV exists at significant levels among individual humans and discuss the results in terms of genetic diversity and prior genome wide association studies (GWAS) that suggest the importance of the ratio of tRNALys isoacceptors in Type-2 diabetes.     

Rapid PCR-based determination of transgene copy number in rice

We present a simple, rapid, and low-cost method to determine transgene copy number in rice. More than 100 first- and second-generation transgenic rice plants were tested. The plasmid (pRCopy) used for rice transformation contains the specific gene of interest and a partially deleted cytochrome c gene (cyc), a single-copy gene in rice. A 132-bp segment of the cloned ricecyc was shortened to 108 bp by deleting a 24-bp internal fragment. After PCR amplification of the genomic DNA from transgenic rice harboring pRCopy, the 2 expected bands were found. The 121-bp band corresponds to the endogenouscyc; the 97-bp band comes from the integrated pRCopy. Clear distinctions can be made between single and multiple copies of the transgene by comparing band densities.     

实时荧光定量PCR(TaqMan)法测定外源基因的拷贝数

实时荧光定量PCR是近年新兴的一项技术,因其快速、方便、便宜,需要DNA样品量少,无需放射性检测等优点被广泛应用于基因的定量分析。该文就实时荧光定量PCR(TaqMan)技术的发展、基本原理及测定外源基因拷贝数的技术流程做一介绍。     

Parallel selection on gene copy number variations through evolution of three-spined stickleback genomes

Background

Understanding the genetic basis of adaptive evolution is one of the major goals in evolutionary biology. Recently, it has been revealed that gene copy number variations (GCNVs) constitute significant proportions of genomic diversities within natural populations. However, it has been unclear whether GCNVs are under positive selection and contribute to adaptive evolution. Parallel evolution refers to adaptive evolution of the same trait in related but independent lineages, and three-spined stickleback (Gasterosteus aculeatus) is a well-known model organism. Through identification of genetic variations under parallel selection, i.e., variations shared among related but independent lineages, evidence of positive selection is obtained. In this study, we investigated whole-genome resequencing data from the marine and freshwater groups of three-spined sticklebacks from diverse areas along the Pacific and Atlantic Ocean coastlines, and searched for GCNVs under parallel selection.

Results

We identified 24 GCNVs that showed significant differences in the numbers of mapped reads between the two groups, and this number was significantly larger than that expected by chance. The derived group, i.e., freshwater group, was typically characterized by larger gene-copy numbers, which implied that gene duplications or multiplications helped with adaptation to the freshwater environment. Some of the identified GCNVs were those of multigenic family genes, which is consistent with the theory that fatal effects due to copy-number changes of multigenic family genes tend to be less than those of single-copy genes.

Conclusion

The identification of GCNVs that were likely under parallel selection suggests that contribution of GCNVs should be considered in studies on adaptive evolution.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-735) contains supplementary material, which is available to authorized users.     

Detection of differential gene copy number using denaturing high performance liquid chromatography

Genomic rearrangements leading to deletion or duplication of gene(s) resulting in alterations in gene copy number underlie the molecular lesion in several genetic disorders. Methods currently used to determine gene copy number including real time PCR, southern hybridization, fluorescence in situ hybridization, densitometric scanning of PCR product etc. have certain disadvantages and are also expensive and time consuming. Herein, we describe a simple and rapid method to assess gene copy number using denaturing high performance liquid chromatography (dHPLC). We used X chromosome genes as model to compare the gene copy numbers present on this chromosome in males and females. DNA from these samples were amplified by biplex PCR using primer pairs specific for X chromosome genes only (target gene) and for genes present on both X and Y chromosomes (internal control). Amplified products were analyzed using HPLC under non-denaturing conditions. The ratio of peak areas (target gene/internal control) of the amplified products was approximately twice in female samples than male samples (p < 0.001) demonstrating that the differential gene copy number can be easily detected using this method. This method can potentially be used for diagnostic purpose where the need is to distinguish samples based on the differential gene copy numbers.     

Probe-free allele-specific copy number detection and analysis of tumors

Cancer development and progression frequently involve nucleotide mutations as well as amplifications and deletions of genomic segments. Quantification of allele-specific copy number is an important step in characterizing tumor genomes for precision medicine. Despite advances in approaches to high-throughput genomic DNA analysis, inexpensive and simple methods for analyzing complex nucleotide and copy number variants are still needed. Real-time polymerase chain reaction (PCR) methods for discovering and genotyping single nucleotide polymorphisms are becoming increasingly important in genetic analysis. In this study, we describe a simple, single-tube, probe-free method that combines SYBR Green I-based quantitative real-time PCR and quantitative melting curve analysis both to detect specific nucleotide variants and to quantify allele-specific copy number variants of tumors. The approach is based on the quantification of the targets of interest and the relative abundance of two alleles in a single tube. The specificity, sensitivity, and utility of the assay were demonstrated in detecting allele-specific copy number changes critical for carcinogenesis and therapeutic intervention. Our approach would be useful for allele-specific copy number analysis or precise genotyping.     

Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation

Current understanding of the underlying molecular network and mechanism for attention-deficit hyperactivity disorder (ADHD) is lacking and incomplete. Previous studies suggest that genomic structural variations play an important role in the pathogenesis of ADHD. For effective modeling, deep learning approaches have become a method of choice, with ability to predict the impact of genetic variations involving complicated mechanisms. In this study, we examined copy number variation in whole genome sequencing from 116 African Americans ADHD children and 408 African American controls. We divided the human genome into 150 regions, and the variation intensity in each region was applied as feature vectors for deep learning modeling to classify ADHD patients. The accuracy of deep learning for predicting ADHD diagnosis is consistently around 78% in a two-fold shuffle test, compared with ∼50% by traditional k-mean clustering methods. Additional whole genome sequencing data from 351 European Americans children, including 89 ADHD cases and 262 controls, were applied as independent validation using feature vectors obtained from the African American ethnicity analysis. The accuracy of ADHD labeling was lower in this setting (∼70–75%) but still above the results from traditional methods. The regions with highest weight overlapped with the previously reported ADHD-associated copy number variation regions, including genes such as GRM1 and GRM8, key drivers of metabotropic glutamate receptor signaling. A notable discovery is that structural variations in non-coding genomic (intronic/intergenic) regions show prediction weights that can be as high as prediction weight from variations in coding regions, results that were unexpected.