Identification Of Chromosomes Research Articles

Enhancing chromosomal analysis efficiency through deep learning-based artificial intelligence graphic analysis

The objective of this study is to evaluate the efficacy and diagnostic utility of an advanced chromosomal analysis approach. A total of 2663 amniotic fluid samples were chosen for chromosomal karyotype profiling between January 2022 and June 2023. Two sets of tests were carried out: experiment 1 involved randomly selecting 1168 examples to test the accuracy of machine learning-based chromosomal karyotypes. The aim was to determine the method’s general applicability when cases were naturally dispersed. Experiment 2 concentrated on randomly selecting the most common examples of chromosomal number anomalies and cases with structural defects that did not affect the visual assessment of chromosome categories. The goal was to investigate the diagnostic efficacy of the artificial intelligence (AI) analysis system in detecting these flaws. The results of experiment 1 demonstrated the resilience of the intelligent analysis system in cases with significant differences in chromosomal karyotypes, resulting from manual shooting and film-making. Experiment 2 results showed that the intelligent analysis system surpassed the standard chromosomal image analysis program in terms of automated analysis accuracy, for both normal and defect cases. Furthermore, the intelligent analysis system demonstrated detection and analysis speeds that were 3–15 times faster. The average speed of regular case analysis increased by a factor of 4–6, cases with quantitative defects increased by a factor of 3–5, and cases with structural defects increased by a factor of 5–7. Implementing a chromosome intelligence analysis system in clinical practice could improve the efficiency of chromosome identification and analysis, allow for more widespread chromosomal examination, and reduce the likelihood of congenital defects.

The First Identification of Homomorphic XY Sex Chromosomes by Integrating Cytogenetic and Transcriptomic Approaches in Plestiodon elegans (Scincidae)

The sex chromosomes of skinks are usually poorly differentiated and hardly distinguished by cytogenetic methods. Therefore, identifying sex chromosomes in species lacking easily recognizable heteromorphic sex chromosomes is necessary to fully understand sex chromosome diversity. In this paper, we employed cytogenetics, sex quantification of genes, and transcriptomic approaches to characterize the sex chromosomes in Plestiodon elegans. Cytogenetic examination of metaphases revealed a diploid number of 2n = 26, consisting of 12 macrochromosomes and 14 microchromosomes, with no significant heteromorphic chromosome pairs, speculating that the sex chromosomes may be homomorphic or poorly differentiated. The results of the sex quantification of genes showed that Calumenin (calu), COPI coat complex subunit γ 2 (copg2), and Smoothened (smo) were at half the dose in males as in females, suggesting that they are on the X chromosome. Transcriptomic data analysis from the gonads yielded the excess expression male-specific genes (n = 16), in which five PCR molecular markers were developed. Restricting the observed heterozygosity to males suggests the presence of homomorphic sex chromosomes in P. elegans, XX/XY. This is the first breakthrough in the study of the sex chromosomes of Plestiodon.

Current Diagnostic Approaches in the Genetic Diagnosis of Disorders of Sex Development.

Disorders of sex development (DSD) are a clinically and genetically highly heterogeneous group of congenital disorders. The most accurate and rapid diagnosis may be possible with a complementary multidisciplinary diagnostic approach, including comprehensive clinical, hormonal, and genetic investigations. Rapid and accurate diagnosis of DSD requires urgency in terms of gender selection and management of the case. Despite the genetic tests performed in current daily practice, the genetic cause is still not elucidated in a significant proportion of cases. Karyotype analysis can be used as a standard for sex chromosome identification. In addition, quantitative fluorescent polymerase chain reaction (QF-PCR) or fluorescence in situ hybridization (FISH) analysis can be used for faster and more cost-effective detection of the sex chromosome and SRY gene. Multiplex ligation-dependent probe amplification (MLPA), single-gene sequence analysis, next-generation sequence analysis (NGSA), targeted NGSA, whole-exome sequencing (WES), and whole-genome sequencing (WGS) analyses can be performed according to preliminary diagnoses. Microarray analysis (array comparative genomic hybridization (aCGH) and single nucleotide polymorphism array (SNPa)) should be performed in cases with syndromic findings and if no pathology is detected with other tests. In DSD cases, the use of optical genome mapping and techniques, which will probably be in daily practice in near future, may be considered. In conclusion, the clinical and genetic diagnosis of DSD is difficult, and molecular genetic diagnosis is often not available. This has psychosocial and health implications for patients and their families. New genetic techniques, especially those targeting the whole genome, may provide a better understanding of DSD through the identification of little-known genetic causes. This review focuses on conventional genetic and next-generation genetic techniques used in the genetic diagnosis of DSD, as well as possible genetic diagnostic techniques and approaches that may be used in routine practice in near future.

Optical Genome Mapping for Cryptic Chromosomal Rearrangements Identification in Clinical Practice

Optical Genome Mapping for Cryptic Chromosomal Rearrangements Identification in Clinical Practice

Divergence of 10 satellite repeats in Artemisia (Asteraceae: Anthemideae) based on sequential fluorescence in situ hybridization analysis: evidence for species identification and evolution.

Artemisia is a large genus encompassing about 400 diverse species, many of which have considerable medicinal and ecological value. However, complex morphological information and variation in ploidy level and nuclear DNA content have presented challenges for evolution studies of this genus. Consequently, taxonomic inconsistencies within the genus persist, hindering the utilization of such large plant resources. Researchers have utilized satellite DNAs to aid in chromosome identification, species classification, and evolutionary studies due to their significant sequence and copy number variation between species and close relatives. In the present study, the RepeatExplorer2 pipeline was utilized to identify 10 satellite DNAs from three species (Artemisia annua, Artemisia vulgaris, Artemisia viridisquama), and fluorescence in situ hybridization confirmed their distribution on chromosomes in 24 species, including 19 Artemisia species with 5 outgroup species from Ajania and Chrysanthemum. Signals of satellite DNAs exhibited substantial differences between species. We obtained one genus-specific satellite from the sequences. Additionally, molecular cytogenetic maps were constructed for Artemisia vulgaris, Artemisia leucophylla, and Artemisia viridisquama. One species (Artemisia verbenacea) showed a FISH distribution pattern suggestive of an allotriploid origin. Heteromorphic FISH signals between homologous chromosomes in Artemisia plants were observed at a high level. Additionally, the relative relationships between species were discussed by comparing ideograms. The results of the present study provide new insights into the accurate identification and taxonomy of the Artemisia genus using molecular cytological methods.

Application of convolutional neural networks for the classification of metaphase chromosomes

To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification. Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model. The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists. The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

GenoBaits®WheatplusEE: a targeted capture sequencing panel for quick and accurate identification of wheat-Thinopyrum derivatives.

A total of 90,000 capture probes derived from wheat and Thinopyrum elongatum were integrated into one chip, which served as an economical genotype for explorating Thinopyrumspecies and their derivatives. Thinopyrum species play a crucial role as a source of new genetic variations for enhancing wheat traits, including resistance to both abiotic and biotic factors. Accurate identification of exogenous chromosome(s) or chromosome segments or genes is essential following the introduction of alien genetic material into wheat, but this task remains challenging. This study aimed to develop a high-resolution wheat-Thinopyrum elongatum array, named GenoBaits®WheatplusEE, to trace alien genetic information by genotyping using a target sequencing system. This GenoBaits®WheatplusEE array included 90,000 capture probes derived from two species and integrated into one chip, with 10,000 and 80,000 originating from wheat and Th. elongatum, respectively. The capture probes were strategically positioned in genes and evenly distributed across the genome, facilitating the development of a roadmap for identifying each alien gene. The array was applied to the high-throughput identification of the alien chromosomes or segments in Thinopyrum and distantly related species and their derivatives. Our results demonstrated that the GenoBaits®WheatplusEE array could be used for direct identification of the breakpoint of alien segments, determine copy number of alien chromosomes, and reveal variations in wheat chromosomes by a single round of target sequencing of the sample. Additionally, we could efficiently and cost-effectively genotype, supporting the exploration of subgenome composition, phylogenetic relationships, and polymorphisms in essential genes (e.g., Fhb7 gene) among Thinopyrum species and their derivatives. We hope that GenoBaits®WheatplusEE will become a widely adopted tool for exporting wild germplasm for wheat improvement in the future.

Investigation of chromosomal genetic characteristics and identification of structural variation in the offspring of hexaploid triticale×hexaploid wheat.

Hexaploid triticale is an important genetic resource for genetic improvement of common wheat, which can broaden the genetic basis of wheat. In order to lay a foundation for the subsequent research and utilization of triticale germplasm materials, the chromosomal genetic characteristics of cross and backcross offspring of hexaploid triticale×hexaploid wheat were investigated in the process of transferring rye chromatin from hexaploid triticale to hexaploid wheat. Hybrid and backcross combinations were prepared with hexaploid triticale 16yin171 as the maternal parent and hexaploid wheat Chuanmai62 as the paternal parent. The chromosomes in root tip cells of F1, BC1F1 and BC1F2 plants were traced and identified non-denaturing florescence in situ hybridization (ND-FISH). The results indicated that the backcross setting rate of hybrid F1 was 2.61%. The transmission frequency of 2R chromosome was the highest in BC1F1 plants while the transmissibility of rye chromosome in BC1F2 plant was 6R>4R>2R, and the 5B-7B wheat translocation in BC1F2 plants showed severe segregation. A total of 24 structural variant chromosomes were observed both in BC1F1 and BC1F2 plants, including chromosome fragments, isochromosomes, translocations, and dicentric chromosomes. In addition, the seed length and 1000-grain weight of some BC1F2 plants were better than that of the hexaploid wheat parent Chuanmai 62. Therefore, multiple backcrosses should be adopted as far as possible to make the rapid recovery of group D chromosomes, ensuring the recovery of fertility in offspring, when hexaploid tritriale is used as a bridge to introduce rye genetic material into common wheat. At the same time, the potential application value of chromosomal structural variation materials should be also concerned.

An optimized ligation-mediated PCR method for chromosome walking and fusion gene chromosomal breakpoints identification.

Molecular techniques that recover unknown sequences next to a known sequence region have been widely applied in various molecular studies, such as chromosome walking, identification of the insertion site of transposon mutagenesis, fusion gene partner, and chromosomal breakpoints, as well as targeted sequencing library preparation. Although various techniques have been introduced for efficiency enhancement, searching for relevant single molecular event present in a large-sized genome remains challenging. Here, the optimized ligation-mediatedpolymerase chain reaction (PCR) method was developed and successfully identified chromosomal breakpoints far away from the exon of the new exon junction without the need for nested PCR. In addition to recovering unknown sequences next to a known sequence region, the high efficiency of the method could also improve the performance of targeted next-generation sequencing (NGS).

Translocations and inversions: major chromosomal rearrangements during Vigna (Leguminosae) evolution.

Inversions and translocations are the major chromosomal rearrangements involved in Vigna subgenera evolution, being Vigna vexillata the most divergent species. Centromeric repositioning seems to be frequent within the genus. Oligonucleotide-based fluorescence in situ hybridization (Oligo-FISH) provides a powerful chromosome identification system for inferring plant chromosomal evolution. Aiming to understand macrosynteny, chromosomal diversity, and the evolution of bean species from five Vigna subgenera, we constructed cytogenetic maps for eight taxa using oligo-FISH-based chromosome identification. We used oligopainting probes from chromosomes 2 and 3 of Phaseolus vulgaris L. and two barcode probes designed from V. unguiculata (L.) Walp. genome. Additionally, we analyzed genomic blocks among the Ancestral Phaseoleae Karyotype (APK), two V. unguiculata subspecies (V. subg. Vigna), and V. angularis (Willd.) Ohwi & Ohashi (V. subg. Ceratotropis). We observed macrosynteny for chromosomes 2, 3, 4, 6, 7, 8, 9, and 10 in all investigated taxa except for V. vexillata (L.) A. Rich (V. subg. Plectrotropis), in which only chromosomes 4, 7, and 9 were unambiguously identified. Collinearity breaks involved with chromosomes 2 and 3 were revealed. We identified minor differences in the painting pattern among the subgenera, in addition to multiple intra- and interblock inversions and intrachromosomal translocations. Other rearrangements included a pericentric inversion in chromosome 4 (V. subg. Vigna), a reciprocal translocation between chromosomes 1 and 5 (V. subg. Ceratotropis), a potential deletion in chromosome 11 of V. radiata (L.) Wilczek, as well as multiple intrablock inversions and centromere repositioning via genomic blocks. Our study allowed the visualization of karyotypic patterns in each subgenus, revealing important information for understanding intrageneric karyotypic evolution, and suggesting V. vexillata as the most karyotypically divergent species.

PATZ1-Rearranged Tumors of the Central Nervous System: Characterization of a Pediatric Series of Seven Cases

PATZ1-rearranged sarcomas are well-recognized tumors as part of the family of round cell sarcoma with EWSR1-non-ETS fusions. Whether PATZ1-rearranged central nervous system (CNS) tumors are a distinct tumor type is debatable. We thoroughly characterized a pediatric series of PATZ1-rearranged CNS tumors by chromosome microarray analysis (CMA), DNA methylation analysis, gene expression profiling and, when frozen tissue is available, optical genome mapping (OGM). The series consisted of 7 cases (M:F=1.3:1, 1-17 years, median 12). On MRI, the tumors were supratentorial in close relation to the lateral ventricles (intraventricular or iuxtaventricular), preferentially located in the occipital lobe. Two major histologic groups were identified: one (4 cases) with an overall glial appearance, indicated as “neuroepithelial” (NET) by analogy with the corresponding methylation class (MC); the other (3 cases) with a predominant spindle cell sarcoma morphology, indicated as “sarcomatous” (SM). A single distinct methylation cluster encompassing both groups was identified by multidimensional scaling analysis. Despite the epigenetic homogeneity, unsupervised clustering analysis of gene expression profiles revealed 2 distinct transcriptional subgroups correlating with the histologic phenotypes. Interestingly, genes implicated in epithelial–mesenchymal transition and extracellular matrix composition were enriched in the subgroup associated to the SM phenotype. The combined use of CMA and OGM enabled the identification of chromosome 22 chromothripsis in all cases suitable for the analyses, explaining the physical association of PATZ1 to EWSR1 or MN1. Six patients are currently disease-free (median follow-up 30 months, range 12-92). One patient of the SM group developed spinal metastases at 26 months from diagnosis and is currently receiving multimodal therapy (42 months). Our data suggest that PATZ1-CNS tumors are defined by chromosome 22 chromothripsis as causative of PATZ1 fusion, show peculiar MRI features (eg, relation to lateral ventricles, supratentorial frequently posterior site), and, although epigenetically homogenous, encompass 2 distinct histologic and transcriptional subgroups.

Cytogenetic characteristics of invasive Corbicula fluminalis (Bivalvia: Cyrenidae) of the Northern Dvina River basin

The ploidy between invasive Corbicula lineages can be di-, tri-, and tetraploid. Currently, some invasive populations of this genus remain unaffected by cytogenetic studies. In this study, we determined the chromosome set of invasive C. fluminalis (O. F. Muller, 1774) from Northern European Russia. According to our results, the chromosome set C. fluminalis consists of 54 chromosomes, which can be divided into 18 groups of 3 phenotypically identical chromosomes. Among them we can distinguish 3 metacentric chromosomes, 15 submetacentric chromosomes and 36 subtelo-acrocentric chromosomes.

FISH painting for chromosome identification of aneuploid cauliflower (Brassica oleracea L. var. botrytis)

A common problem in the cultivation and breeding of cauliflower (Brassica oleracea L. var. botrytis) is the occurrence of aneuploids in offspring families. To reveal the chromosomal cause of such numerical variants, it was necessary to develop karyotype tools with which chromosomes can be easily identified. Since mitotic chromosomes in this crop are morphologically similar and lack differentiating banding patterns, we tested two Fluorescent in situ Hybridization (FISH) procedures for chromosome identification: (1) FISH painting with diagnostic repetitive DNA patterns and (2) cross-species chromosome painting. The first method consists of a five-colour FISH with 5s rDNA, 45S rDNA, and two Brassica rapa centromere-specific repeats, and a B. rapa BAC (KBrH092N02) containing a dispersed repeat of an unknown class. The second method is an advanced FISH technology based on hybridising DNA probes of a related species under adapted stringency conditions to identify their homoeologous loci. To this end, we applied four pools of BACs from Arabidopsis thaliana in a multicolour FISH for a banding pattern on the chromosomes of cauliflower (Brassica oleracea L. var. botrytis). Due to the genome triplication and various chromosome rearrangements of Brassica oleracea compared to Arabidopsis, we used MUMmer whole-genome alignment plot information to select Arabidopsis BAC pools with which all cauliflower chromosomes could be identified. In a sample of 21 plants with aberrant phenotypes, we demonstrated primary trisomy for chromosomes 1–6 and 8, and telo-trisomy for chromosomes 7 and 9. Finally, we discuss the advantages and drawbacks of the two painting methods and eventual alternatives for demonstrating numerical aberrations in the cauliflower populations.Graphical

Chromosome Karyotyping and Aneuploidy Detection using Deep Learning Networks

Chromosome karyotype analysis is a vital role in the diagnosis of congenital disease, chromosomal aneuploidies. Karyotyping is defined as the process of categorizing chromosomes into one of 24 kinds. Chromosomal aneuploidies can be classified as structural and numerical. Numerical anomalies such as Down syndrome, Williams’s syndrome Pattu syndrome, Turner syndrome, klinefelter syndrome and certain kind of cancers detected with the help of karyotyping. It necessitates rigorous attention to detail and well-trained people. With these objectives in mind, in this work, we automated karyotyping and identified common numerical aneuploidies using deep learning on a dataset of 5474 distinct grayscale metaphase chromosomal impressions from the Bioimage chromosome categorization dataset (BioImLab), which is freely available online. Three stages are included in the proposed classification model. The first stage entails segmenting and individual chromosome identification using bounding box detection and modified binary mask methods. At this point, achieved individual chromosome detection accuracy is 99%. The second stage involves classifying chromosomes using a 144 deep and 1000 FC layer GLNet (GoogleNet) classifier, which has an accuracy rate of 96.33%. The last step is to accurately identify aneuploidies with a 98% detection rate. A robust automatic classification system has been developed. Many scholars have proposed various karyotyping approaches. This research compares and contrasts the outcomes of several approaches with greater accuracy.

Identification of chromosomes by fluorescence in situ hybridization in Gossypium hirsutum via developing oligonucleotide probes.

Discrimination of chromosome is essential for chromosome manipulation or visual chromosome characterization. Oligonucleotide probes can be employed to simplify the procedures of chromosome identification in molecular cytogenetics due to its simplicity, fastness, cost-effectiveness, and high efficiency. So far, however, visual identification of cotton chromosomes remains unsolved. Here, we developed 16 oligonucleotide probes for rapid and accurate identification of chromosomes in Gossypium hirsutum: 9 probes, of which each is able to distinguish individually one pair of chromosomes, and seven probes, of which each distinguishes multiple pairs of chromosomes. Besides the identification of Chrs. A09 and D09, we first find Chr. D08, which carries both 45S and 5S rDNA sequences. Interestingly, we also find Chr. A07 has a small 45S rDNA size, suggesting that the size of this site on Chr. A07 may have reduced during evolution. By the combination of 45S and 5S rDNA sequences and oligonucleotide probes developed, 10 chromosomes (Chrs. 3-7, and 9-13) in A subgenome and 7 (Chrs. 1-2, 4-5, and 7-9) in D subgenome of cotton are able to be recognized. This study establishes cotton oligonucleotide fluorescence in situ hybridization technology for discrimination of chromosomes, which supports and guides for sequence assembling, particularly, for tandem repeat sequences in cotton.

Telomere and subtelomere high polymorphism might contribute to the specificity of homologous recognition and pairing during meiosis in barley in the context of breeding

Barley (Hordeum vulgare) is one of the most popular cereal crops globally. Although it is a diploid species, (2n = 2x = 14) the study of its genome organization is necessary in the framework of plant breeding since barley is often used in crosses with other cereals like wheat to provide them with advantageous characters. We already have an extensive knowledge on different stages of the meiosis, the cell division to generate the gametes in species with sexual reproduction, such as the formation of the synaptonemal complex, recombination, and chromosome segregation. But meiosis really starts with the identification of homologous chromosomes and pairing initiation, and it is still unclear how chromosomes exactly choose a partner to appropriately pair for additional recombination and segregation. In this work we present an exhaustive molecular analysis of both telomeres and subtelomeres of barley chromosome arms 2H-L, 3H-L and 5H-L. As expected, the analysis of multiple features, including transposable elements, repeats, GC content, predicted CpG islands, recombination hotspots, G4 quadruplexes, genes and targeted sequence motifs for key DNA-binding proteins, revealed a high degree of variability both in telomeres and subtelomeres. The molecular basis for the specificity of homologous recognition and pairing occurring in the early chromosomal interactions at the start of meiosis in barley may be provided by these polymorphisms. A more relevant role of telomeres and most distal part of subtelomeres is suggested.

Techniques and advances in mammalian chromosome identification

Cytogenetics, through the study of the karyotype, with its characteristics such as diploid number (2n), chromosomal morphology of autosomes (fundamental number – FN), and sexual system, constitutes an important tool that can help clarify the phylogenetic relationships and taxonomic status of several taxa, receiving the name cytotaxonomy. In addition to conventional staining, there are several classical techniques of chromosomal bandings, such as GTG, CBG, and Ag-NORs bandings, which help in species comparisons to search for homologies and understand chromosome structure, function, and behavior. Systematic and taxonomic problems, as well as chromosome structure and behavior, have been elucidated in some groups of mammals with these banding techniques. In this study, we present the procedures for direct chromosomal preparations from bone marrow and peripheral blood used in the field and laboratory to obtain suspended mitotic metaphase cells. We also describe the main techniques of conventional staining and chromosomal banding for analyzing karyotypes in mammals.

Chromosome instability region analysis and identification of the driver genes of the epithelial ovarian cancer cell lines A2780 and SKOV3.

Epithelial ovarian cancer (EOC) is one of the most prevalent gynaecological cancers worldwide. The molecular mechanisms of serous ovarian cancer (SOC) remain unclear and not well understood. SOC cases are primarily diagnosed at the late stage, resulting in a poor prognosis. Advances in molecular biology techniques allow us to obtain a better understanding of precise molecular mechanisms and to identify the chromosome instability region and key driver genes in the carcinogenesis and progression of SOC. Whole-exome sequencing was performed on the normal ovarian cell line IOSE80 and the EOC cell lines SKOV3 and A2780. The single-nucleotide variation burden, distribution, frequency and signature followed the known ovarian mutation profiles, without chromosomal bias. Recurrently mutated ovarian cancer driver genes, including LRP1B, KMT2A, ARID1A, KMT2C and ATRX were also found in two cell lines. The genome distribution of copy number alterations was found by copy number variation (CNV) analysis, including amplification of 17q12 and 4p16.1 and deletion of 10q23.33. The CNVs of MED1, GRB7 and MIEN1 located at 17q12 were found to be correlated with the overall survival of SOC patients (MED1: p = 0.028, GRB7: p = 0.0048, MIEN1: p = 0.0051), and the expression of the three driver genes in the ovarian cell line IOSE80 and EOC cell lines SKOV3 and A2780 was confirmed by western blot and cell immunohistochemistry.

Cytogenetic evidence and dmrt linkage indicate male heterogamety in a non-bilaterian animal.

The diversity of sex determination systems in animals suggests that sex chromosomes evolve independently across different lineages. However, the present data on these systems is largely limited and represented mainly by bilaterian animals. Sex chromosomes and sex determination system based on cytogenetic evidence remain a mystery among non-bilaterians, the most basal animals. Here, we investigated the sex determination system of a non-bilaterian (Goniopora djiboutiensis) based on karyotypic analysis and identification of locus of dmrt1, a known master sex-determining gene in many animals. Results showed that among the three isolated dmrt genes, GddmrtC was sperm-linked. Fluorescence in situ hybridization revealed that 47% of the observed metaphase cells contained the GddmrtC locus on the shorter chromosome of the heteromorphic pair, whereas the other 53% contained no GddmrtC locus and pairing of the longer chromosome of the heteromorphic pair was observed. These findings provided the cytogenetic evidence for the existence of the Y sex chromosome in a non-bilaterian animal and supports male heterogamety as previously reported in other non-bilaterian species using RAD sequencing. The Y chromosome-specific GddmrtC sequence was most homologous to the vertebrate dmrt1, which is known for its role in male sex determination and differentiation. Our result on identification of putative sex chromosomes for G. djiboutiensis may contribute into understanding of the possible genetic sex determination systems in non-bilaterian animals.

Automated identification of single and clustered chromosomes for metaphase image analysis

BackgroundChromosome analysis is laborious and time-consuming. Automated methods can significantly increase the efficiency of chromosome analysis. For the automated analysis of chromosome images, single and clustered chromosomes must be identified. Herein, we propose a feature-based method for distinguishing between single chromosomes and clustered chromosome. MethodThe proposed method comprises three main steps. In the first step, chromosome objects are segmented from metaphase chromosome images in advance. In the second step, seven features are extracted from each segmented object, i.e., the normalized area, area/boundary ratio, side branch index, exhaustive thresholding index, normalized minimum width, minimum concave angle, and maximum boundary shift. Finally, the segmented objects are classified as a single chromosome or chromosome cluster using a combination of the seven features. ResultsIn total, 43,391 segmented objects, including 39,892 single chromosomes and 3,499 chromosome clusters, are used to evaluate the proposed method. The results show that the proposed method achieves an accuracy of 98.92% by combining the seven features using support vector machine. ConclusionsThe proposed method is highly effective in distinguishing between single and clustered chromosomes and can be used as a preprocessing procedure for automated chromosome image analysis.