Identification Of Centromeres Research Articles

CentIER: Accurate centromere identification for plant genomes

This paper introduces CentIER, the first bioinformatic tool designed to detect complete centromeric regions without additional wet experiments. The accuracy of CentIER was validated on diverse plant genomes such as Arabidopsis, rice, maize and mulberry, and the results show that CentIER can perform significantly more complete and accurate detection than the existing tool.

Decoding allelic diversity, transcript variants and transcriptional complexity of CENH3 gene in Brassica oleracea var. botrytis.

Histone proteins play a critical role in the primary organization of nucleosomes, which is the fundamental unit of chromatin. Among the fivetypes of the histones, histone H3 has multiple variants, and the number differs among thespecies. Amongst histone H3 variants, centromeric histone H3 (CENH3) is crucial for centromere identification and proper chromosomal segregation during cell division. In the present study, we have identified 17 putative histone H3 genes of Brassica oleracea. Furthermore, we have done a detailed characterization of the CENH3 gene of B. oleracea. We showed that a single CENH3 gene exhibits allelic diversity with at least two alleles and alternative splicing pattern. Also, we have identified a CENH3 gene-specific co-dominant cleaved amplified polymorphic sequence marker SNP34(A/C) to distinguish CENH3 alleles and follow their expression in leaf and flower tissues. The gene structure analysis of theCENH3 gene revealed the conserved 5'-CAGCAG-3' sequence at the intron 3-exon 4 junction in B. oleracea, which serves as an alternative splicing site with one-codon (alanine) addition/deletion. However, this one-codon alternative splicing feature is not conserved in the CENH3 genes of wild allied Brassica species. Our finding suggests that transcriptional complexity and alternative splicing might play a key role in the transcriptional regulation and function of the CENH3 gene in B. oleracea. Altogether, data generated from the present study can serve as a primary information resource and can be used to engineer CENH3 gene towards developing haploid inducer lines in B. oleracea.

The genetics and epigenetics of satellite centromeres.

Centromeres, the chromosomal loci where spindle fibers attach during cell division to segregate chromosomes, are typically found within satellite arrays in plants and animals. Satellite arrays have been difficult to analyze because they comprise megabases of tandem head-to-tail highly repeated DNA sequences. Much evidence suggests that centromeres are epigenetically defined by the location of nucleosomes containing the centromere-specific histone H3 variant cenH3, independently of the DNA sequences where they are located; however, the reason that cenH3 nucleosomes are generally found on rapidly evolving satellite arrays has remained unclear. Recently, long-read sequencing technology has clarified the structures of satellite arrays and sparked rethinking of how they evolve, and new experiments and analyses have helped bring both understanding and further speculation about the role these highly repeated sequences play in centromere identification.

Wavelet-Based Genomic Signal Processing for Centromere Identification and Hypothesis Generation

Various ‘omics data types have been generated for Populus trichocarpa, each providing a layer of information which can be represented as a density signal across a chromosome. We make use of genome sequence data, variants data across a population as well as methylation data across 10 different tissues, combined with wavelet-based signal processing to perform a comprehensive analysis of the signature of the centromere in these different data signals, and successfully identify putative centromeric regions in P. trichocarpa from these signals. Furthermore, using SNP (single nucleotide polymorphism) correlations across a natural population of P. trichocarpa, we find evidence for the co-evolution of the centromeric histone CENH3 with the sequence of the newly identified centromeric regions, and identify a new CENH3 candidate in P. trichocarpa.

Identification of the centromeres of Leishmania major: revealing the hidden pieces.

Leishmania affects millions of people worldwide. Its genome undergoes constitutive mosaic aneuploidy, a type of genomic plasticity that may serve as an adaptive strategy to survive distinct host environments. We previously found high rates of asymmetric chromosome allotments during mitosis that lead to the generation of such ploidy. However, the underlying molecular events remain elusive. Centromeres and kinetochores most likely play a key role in this process, yet their identification has failed using classical methods. Our analysis of the unconventional kinetochore complex recently discovered in Trypanosoma brucei (KKTs) leads to the identification of a Leishmania KKT gene candidate (LmKKT1). The GFP-tagged LmKKT1 displays "kinetochore-like" dynamics of intranuclear localization throughout the cell cycle. By ChIP-Seq assay, one major peak per chromosome is revealed, covering a region of 4 ±2 kb. We find two largely conserved motifs mapping to 14 of 36 chromosomes while a higher density of retroposons are observed in 27 of 36 centromeres. The identification of centromeres and of a kinetochore component of Leishmania chromosomes opens avenues to explore their role in mosaic aneuploidy.

Developing an Automated Cytogenetic Imaging System for Detection of Dicentric Chromosomes in Biological Dosimetry

Background: High-energy ionizing radiation is harmful and changes the genetic makeup of DNA, which can lead to increased risk of cancer. Thus, the exposure of radiation dose should be under control and limited. Ionizing radiation might lead to some chromosome aberrations like dicentric. There is a strong relation between the frequency of dicentric chromosome in metaphase, and the received dose. Objective: Identifying the frequency of dicentric chromosomes is an important task especially in large-scale radiation accident for making rapid clinical decision. Given this, a large number of metaphases should be investigated for an accurate estimating of dose. It is well known that non-automated (visual) scoring of chromosome aberrations such as dicentrics requires highly trained experts. On the other hand, as thousands of cells should be scored, it is time-consuming and results in fatigue that can lead to poor concentration. Methods: Biological dosimetry technique for assessing radiation dose is based on analyzing chromosome in peripheral blood lymphocyte. Our study describes a technique to speed up this procedure by automatically distinguishing abnormal chromosomes from normal ones. The most important feature of dicentric chromosomes is their two centromeres. Therefore, the main approach in our study is to design an automated system to identify the number and position of centromeres. We presented a method for classifying chromosomes into four groups in accordance with the number of centromeres in each chromosome. Results: The image dataset of 311 chromosomes of normal and dicentric chromosomes is used to test the scheme. The sensitivity about 90% and specificity more than 95% for classification of chromosomes into dicentric and non-dicentric as well as accuracy more than 90% for centromere identification, are obtained. Conclusion: If an automated system with the capability of straightening bent chromosome was applied prior to the proposed algorithm, even more accurate results would be achieved.

Repeat-Associated Fission Yeast-Like Regional Centromeres in the Ascomycetous Budding Yeast Candida tropicalis.

The centromere, on which kinetochore proteins assemble, ensures precise chromosome segregation. Centromeres are largely specified by the histone H3 variant CENP-A (also known as Cse4 in yeasts). Structurally, centromere DNA sequences are highly diverse in nature. However, the evolutionary consequence of these structural diversities on de novo CENP-A chromatin formation remains elusive. Here, we report the identification of centromeres, as the binding sites of four evolutionarily conserved kinetochore proteins, in the human pathogenic budding yeast Candida tropicalis. Each of the seven centromeres comprises a 2 to 5 kb non-repetitive mid core flanked by 2 to 5 kb inverted repeats. The repeat-associated centromeres of C. tropicalis all share a high degree of sequence conservation with each other and are strikingly diverged from the unique and mostly non-repetitive centromeres of related Candida species—Candida albicans, Candida dubliniensis, and Candida lusitaniae. Using a plasmid-based assay, we further demonstrate that pericentric inverted repeats and the underlying DNA sequence provide a structural determinant in CENP-A recruitment in C. tropicalis, as opposed to epigenetically regulated CENP-A loading at centromeres in C. albicans. Thus, the centromere structure and its influence on de novo CENP-A recruitment has been significantly rewired in closely related Candida species. Strikingly, the centromere structural properties along with role of pericentric repeats in de novo CENP-A loading in C. tropicalis are more reminiscent to those of the distantly related fission yeast Schizosaccharomyces pombe. Taken together, we demonstrate, for the first time, fission yeast-like repeat-associated centromeres in an ascomycetous budding yeast.

Accurate identification of centromere locations in yeast genomes using Hi-C.

Centromeres are essential for proper chromosome segregation. Despite extensive research, centromere locations in yeast genomes remain difficult to infer, and in most species they are still unknown. Recently, the chromatin conformation capture assay, Hi-C, has been re-purposed for diverse applications, including de novo genome assembly, deconvolution of metagenomic samples and inference of centromere locations. We describe a method, Centurion, that jointly infers the locations of all centromeres in a single genome from Hi-C data by exploiting the centromeres’ tendency to cluster in three-dimensional space. We first demonstrate the accuracy of Centurion in identifying known centromere locations from high coverage Hi-C data of budding yeast and a human malaria parasite. We then use Centurion to infer centromere locations in 14 yeast species. Across all microbes that we consider, Centurion predicts 89% of centromeres within 5 kb of their known locations. We also demonstrate the robustness of the approach in datasets with low sequencing depth. Finally, we predict centromere coordinates for six yeast species that currently lack centromere annotations. These results show that Centurion can be used for centromere identification for diverse species of yeast and possibly other microorganisms.

Tobacco karyotyping by accurate centromere identification and novel repetitive DNA localization

Tobacco (Nicotiana tabacum) is an amphidiploid species (2n = 4x = 48, genome constitution SSTT) derived from a natural hybrid between Nicotiana sylvestris (2n = 2x = 24, SS) and Nicotiana tomentosiformis (2n = 2x = 24, TT). Genomic in situ hybridization (GISH), using the genomic DNA from these ancestral species as probes, revealed the chromosomal origins (S or T) and the occurrence of intergenomic translocations in N. tabacum. Fluorescence in situ hybridization (FISH) was also used to distinguish between chromosomes. However, the use of repetitive DNA sequences as probes for FISH analysis is limited by an inability to identify all chromosomes. In addition to this limitation, the occurrence of chromosomal tertiary constrictions can easily lead to the misclassification of chromosomes. To overcome these issues, immunostaining with anti-N. tabacum centromere-specific histone H3 antibody was carried out to determine the centromere position of each chromosome, followed by FISH analysis with ten distinct repetitive DNA probes. This approach allowed us to identify 22 of the 24 chromosome pairs in N. tabacum and revealed novel intergenomic chromosome rearrangements and B-chromosome-like minichromosomes. Hence, the combination of immunostaining with FISH and GISH is critical to accurately karyotype tobacco.

Genome organization and the role of centromeres in evolution of the erythroleukaemia cell line HEL

The human erythroleukaemia (HEL) cell line has a highly rearranged genome. We matched whole chromosome analysis with cytogenomic microarray data to build a detailed description of these rearrangements. We used a combination of single nucleotide polymorphism array and multiple fluorescence in situ hybridization approaches, and compared our array data with publicly available data for different sublines of HEL. B allele frequencies revealed the fate of each homologue for most chromosomes. At least two instances of the breakage-fusion-bridge cycle appear to have facilitated amplification of oncogenes and deletion of tumour suppressor genes. Because our study included centromere identification, we found that some abnormal chromosomes had centromeres that did not match the identity of the rest of the chromosome. This study highlights the variety of complementary methods required to understand remodelling of the genome in cancer and uncover some of the mechanisms involved. We present evidence of centromere capture as a means of preserving broken chromosome segments. Testing for another highly repetitive DNA region, the nucleolus organizer region, helped identify the steps involved in chromosome 9 copy number aberrations. Increased use of techniques for identifying centromeres and other repetitive DNA regions will add to our understanding of genome remodelling and evolution. The pattern of chromosome 20 aberration in HEL supports an association of 20q11.21 amplification with erythroleukaemia (acute myeloid leukaemia subtype M6) in the context of 20q12 deletion. The differences between the karyotypes in different HEL sublines highlight the constantly evolving genomes of cultured cell lines.

A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes

Automatic centromere identification and polarity assignment are two key factors in the automatic karyotyping of human chromosomes. A multi-stage rule-based computer scheme has been investigated to automatically detect centomeres and determine polarities for both abnormal and normal metaphase chromosomes. The scheme first implements a modified thinning algorithm to identify the medial axis of a chromosome and extracts three feature profiles. Based on a set of pre-optimized classification rules, the scheme adaptively identifies the centromere and then assigns corresponding polarity. An image dataset of 2287 chromosomes acquired from 24 abnormal and 26 normal Giemsa metaphase cells is utilized to optimize and test the scheme. The overall accuracy is 91.4% for centromere identification and 97.4% for polarity assignment. The experimental results demonstrate that our scheme can be successfully applied to diverse chromosomes, which include those severely bent and abnormal chromosomes extracted from cancer cells.

What do human micronuclei contain?

As micronuclei (MN) derive from chromosomal fragments and whole chromosomes lagging behind in anaphase, the MN assay can be used to show both clastogenic and aneugenic effects. The distinction between these phenomena is important, since the exposure studied often induces only one type of MN. This particularly concerns the use of MN as a biomarker of genotoxic exposure and effects, where differences in MN frequencies between exposed subjects and referents are expected to be small. A specific analysis of the induced type of MN may considerably improve the sensitivity of detecting the exposure effect. MN harbouring chromosomes can be distinguished from those harbouring acentric fragments by the presence of a centromere. The proportion of centromere-positive MN in human lymphocytes increases with age, which primarily reflects an age-dependent micronucleation of the X and Y chromosomes. The X chromosome especially tends to lag behind in female lymphocyte anaphase, being micronucleated more efficiently than autosomes. There is some evidence for an enhanced prevalence of fragments from chromosome 9 in spontaneous human lymphocyte MN and from chromosomes 1, 9 or 16 in MN induced in vitro by some clastogens; the breakage appears to occur in the heterochromatic block of these chromosomes. Although there are indications that centromere identification can improve the detection of clastogenic effects in humans in vivo, smokers have not shown an increase in centromere-negative MN in their cultured lymphocytes, although smoking is known to produce chromosomal aberrations. This may suggest that fragment-containing MN and chromosomal aberrations cover partly different phenomena. Understanding the mechanistic origin and contents of MN is essential for the proper use of this cytogenetic end-point in biomarker studies, genotoxicity testing and risk assessment.

Amplification of FISH signals using intermittent microwave irradiation for analysis of chromosomal instability in gastric cancer.

Gastrointestinal tract tumours are notorious for their difficulty in relation to conventional cytogenetic analysis. In particular, necrosis, the presence of stromal inflammatory and other cells, and poor attachment of tumour...

Labeling of human centromeres using an alphoid DNA consensus sequence: application to the scoring of chromosome aberrations

Precise identification of centromeres is required for accurate scoring of asymmetrical chromosome aberrations, such as dicentrics. The centromeric regions of all human chromosomes can be labeled by in situ hybridization of a 30 nucleotide oligomer having the sequence of a conserved region of an alphoid DNA consensus sequence. Fluorescent detection of the hybridized probe allows rapid identification of centromeres and accurate scoring of dicentrics, multicentrics, acentric fragments, and the centromeric content of ring chromosomes. This procedure provides a novel approach for scoring these complex chromosome aberrations, particularly damage induced by radiation or radiomimetic agents.

Different central nervous system cell types display distinct and nonrandom arrangements of satellite DNA sequences.

Paraformaldehyde-fixed tissue from mouse cerebellum was hybridized with biotin-labeled satellite DNA for identification of centromeres. By using avidin-peroxidase conjugates, it was possible to define the nuclear position of centromeres at the ultrastructural level. Three-dimensional analysis of well-resolved centromere arrays were aided by computer reconstruction of serial sections. Different cell types displayed distinct, nonrandom centromere locations. In Purkinje neurons, the majority of detected sequences were clustered together around the central nucleolus, whereas in granule neurons, more numerous, dispersed centromere clusters were associated with the nuclear membrane. In Purkinje cells, peroxidase-labeled regions corresponded to dense heterochromatic aggregates were detected in Purkinje cells of several different species. These observations suggest that in these highly differentiated cells, the nuclear position of centromeres is maintained in evolution despite species differences in centromeric DNA sequence. Such defined ordering of centromeres may be integral to specific functional capacities.