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PubMed2025

Unveiling novel antimicrobial peptides from the ruminant gastrointestinal microbiomes: A deep learning-driven approach yields an anti-MRSA candidate.

INTRODUCTION: Antimicrobial peptides (AMPs) present a promising avenue to combat the growing threat of antibiotic resistance. The ruminant gastrointestinal microbiome serves as a unique ecosystem that offers untapped potential for AMP discovery. OBJECTIVES: The aims of this study are to develop an effective methodology for the identification of novel AMPs from ruminant gastrointestinal microbiomes, followed by evaluating their antimicrobial efficacy and elucidating the mechanisms underlying their activity. METHODS: We developed a deep learning-based model to identify AMP candidates from a dataset comprising 120 metagenomes and 10,373 metagenome-assembled genomes derived from the ruminant gastrointestinal tract. Both in vivo and in vitro experiments were performed to examine and validate the antimicrobial activities of the AMP candidates that were selected through bioinformatic analysis and subsequently synthesized chemically. Additionally, molecular dynamics simulations were conducted to explore the action mechanism of the most potent AMP candidate. RESULTS: The deep learning model identified 27,192 potential secretory AMP candidates. Following bioinformatic analysis, 39 candidates were synthesized and tested. Remarkably, all synthesized peptides demonstrated antimicrobial activity against Staphylococcus aureus, with 79.5% showing effectiveness against multiple pathogens. Notably, Peptide 4, which exhibited the highest antimicrobial activity against methicillin-resistant Staphylococcus aureus (MRSA), confirmed this effect in a mouse model with wound infection, exhibiting a low propensity for resistance development and minimal cytotoxicity and hemolysis towards mammalian cells. Molecular dynamics simulations provided insights into the mechanism of Peptide 4, primarily its ability to disrupt bacterial cell membranes, leading to cell death. CONCLUSION: This study highlights the power of combining deep learning with microbiome research to uncover novel therapeutic candidates, paving the way for the development of next-generation antimicrobials like Peptide 4 to combat the growing threat of MRSA would infections. It also underscores the value of utilizing ruminant microbial resources.

Animals↗
PubMed2026

Clinical and genomic features of mitis group streptococcal bacteremia in patients with febrile neutropenia.

BACKGROUND: Viridans group streptococci (VGS) can cause the life-threatening viridans streptococcal shock syndrome (VSSS) in patients with febrile neutropenia (FN). The Mitis group, a major subgroup of VGS, is frequently implicated in these severe infections, but its specific clinical and genomic characteristics remain incompletely characterized, particularly in patients with FN. This study aimed to systematically describe these features in this population. METHODS: In this single-center retrospective study, we compared the clinical data and whole-genome sequencing (WGS) results of Mitis group streptococcal isolates from patients with and without FN. Virulence-associated and antimicrobial resistance genes were initially screened using a reference-based approach, followed by assembly-based reanalysis and manual sequence validation. RESULTS: Compared with the non-FN cohort (n = 34), the FN cohort (n = 61) was significantly younger, had a higher prevalence of hematologic malignancy, and more frequently presented with primary bacteremia. VSSS occurred exclusively in the FN group (11.5%) and was associated with high mortality (14-day mortality, 42.9%), which did not correlate with in vitro antimicrobial susceptibility. Genomic analyses revealed marked diversity among isolates. Initial screening suggested variable detection of several virulence-associated loci, including pavA, slrA, and rfb-related loci; however, subsequent assembly-based analyses indicated that many apparent absences were attributable to extreme allelic divergence rather than true gene loss. No single virulence determinant clearly segregated with clinical severity. CONCLUSIONS: Mitis group bacteremia in patients with FN appears to be characterized by distinct clinical features and marked genomic diversity. Our findings suggest that the development of severe disease, including VSSS, may not be explained by microbial factors alone and potentially reflects complex host-pathogen interactions. CLINICAL TRIAL: Not applicable.

Humans↗
PubMed2002

A whole-genome shotgun optical map of Yersinia pestis strain KIM.

Yersinia pestis is the causative agent of the bubonic, septicemic, and pneumonic plagues (also known as black death) and has been responsible for recurrent devastating pandemics throughout history. To further understand this virulent bacterium and to accelerate an ongoing sequencing project, two whole-genome restriction maps (XhoI and PvuII) of Y. pestis strain KIM were constructed using shotgun optical mapping. This approach constructs ordered restriction maps from randomly sheared individual DNA molecules directly extracted from cells. The two maps served different purposes; the XhoI map facilitated sequence assembly by providing a scaffold for high-resolution alignment, while the PvuII map verified genome sequence assembly. Our results show that such maps facilitated the closure of sequence gaps and, most importantly, provided a purely independent means for sequence validation. Given the recent advancements to the optical mapping system, increased resolution and throughput are enabling such maps to guide sequence assembly at a very early stage of a microbial sequencing project.

Genome, Bacterial↗
PubMed2025

Turbo-charging crop improvement: harnessing multiplex editing for polygenic trait engineering and beyond.

Multiplex CRISPR editing has emerged as a transformative platform for plant genome engineering, enabling the simultaneous targeting of multiple genes, regulatory elements, or chromosomal regions. This approach is effective for dissecting gene family functions, addressing genetic redundancy, engineering polygenic traits, and accelerating trait stacking and de novo domestication. Its applications now extend beyond standard gene knockouts to include epigenetic and transcriptional regulation, chromosomal engineering, and transgene-free editing. These capabilities are advancing crop improvement not only in annual species but also in more complex systems such as polyploids, undomesticated wild relatives, and species with long generation times. At the same time, multiplex editing presents technical challenges, including complex construct design and the need for robust, scalable mutation detection. We discuss current toolkits and recent innovations in vector architecture, such as promoter and scaffold engineering, that streamline workflows and enhance editing efficiency. High-throughput sequencing technologies, including long-read platforms, are improving the resolution of complex editing outcomes such as structural rearrangements-often missed by standard genotyping-when targeting repetitive or tandemly spaced loci. To fully realize the potential of multiplex genome engineering, there is growing demand for user-friendly, synthetic biology-compatible, and scalable computational workflows for gRNA design, construct assembly, and mutation analysis. Experimentally validated inducible or tissue-specific promoters are also highly desirable for achieving spatiotemporal control. As these tools continue to evolve, multiplex CRISPR editing is poised to become a foundational technology of next-generation crop improvement to address challenges in agriculture, sustainability, and climate resilience.

Gene Editing↗
PubMed2025

The reference genome of the human diploid cell line RPE-1.

Recent technological advances have facilitated the assembly of telomere-to-telomere (T2T) genomes. The current T2T CHM13 showcases the complete architecture of the human genome, yet its use in functional experiments is limited by discrepancies with the actual genome of the specific biological system under study. Access to reference assemblies for experimentally relevant cell lines is therefore essential in advancing sequencing-based analyses and precise manipulation, particularly in highly variable regions such as centromeres. Here, we present RPE1v1.1, the near-complete diploid genome assembly of the hTERT RPE-1 cell line, a non-cancerous human retinal epithelial model with a stable karyotype. Using high-coverage Pacific Biosciences and Oxford Nanopore Technologies long-read sequencing, we generate a high-quality de novo assembly, validate it through multiple methods, and phase it by integrating high-throughput chromosome conformation capture (Hi-C) data. Our assembly includes chromosome-level scaffolds that span centromeres for all chromosomes. Comparing both haplotypes with the CHM13 genome, we detect haplotype-specific genomic variations, including the translocation between chromosome 10 and chromosome X t(X;10)(Xq28;10q21.2) characteristic of RPE-1 cells, and divergence peaking at centromeres. Altogether, the RPE1v1.1 genome provides a reference-quality diploid assembly of a widely used cell line, supporting high-precision genetic and epigenetic studies in this model system.

Humans↗
PubMed2024

The centromere landscapes of four karyotypically diverse Papaver species provide insights into chromosome evolution and speciation.

Understanding the roles played by centromeres in chromosome evolution and speciation is complicated by the fact that centromeres comprise large arrays of tandemly repeated satellite DNA, which hinders high-quality assembly. Here, we used long-read sequencing to generate nearly complete genome assemblies for four karyotypically diverse Papaver species, P. setigerum (2n = 44), P. somniferum (2n = 22), P. rhoeas (2n = 14), and P. bracteatum (2n = 14), collectively representing 45 gapless centromeres. We identified four centromere satellite (cenSat) families and experimentally validated two representatives. For the two allopolyploid genomes (P. somniferum and P. setigerum), we characterized the subgenomic distribution of each satellite and identified a "homogenizing" phase of centromere evolution in the aftermath of hybridization. An interspecies comparison of the peri-centromeric regions further revealed extensive centromere-mediated chromosome rearrangements. Taking these results together, we propose a model for studying cenSat competition after hybridization and shed further light on the complex role of the centromere in speciation.

Centromere↗
PubMed2006

Evidence for large inversion polymorphisms in the human genome from HapMap data.

Knowledge about structural variation in the human genome has grown tremendously in the past few years. However, inversions represent a class of structural variation that remains difficult to detect. We present a statistical method to identify large inversion polymorphisms using unusual Linkage Disequilibrium (LD) patterns from high-density SNP data. The method is designed to detect chromosomal segments that are inverted (in a majority of the chromosomes) in a population with respect to the reference human genome sequence. We demonstrate the power of this method to detect such inversion polymorphisms through simulations done using the HapMap data. Application of this method to the data from the first phase of the International HapMap project resulted in 176 candidate inversions ranging from 200 kb to several megabases in length. Our predicted inversions include an 800-kb polymorphic inversion at 7p22, a 1.1-Mb inversion at 16p12, and a novel 1.2-Mb inversion on chromosome 10 that is supported by the presence of two discordant fosmids. Analysis of the genomic sequence around inversion breakpoints showed that 11 predicted inversions are flanked by pairs of highly homologous repeats in the inverted orientation. In addition, for three candidate inversions, the inverted orientation is represented in the Celera genome assembly. Although the power of our method to detect inversions is restricted because of inherently noisy LD patterns in population data, inversions predicted by our method represent strong candidates for experimental validation and analysis.

Biometry↗
PubMed2025

Ulmus minor response to Dutch elm disease: de novo transcriptome assembly and annotation.

Dutch elm disease (DED), caused by Ophiostoma novo-ulmi (ONU), has devastated elm populations across Europe and North America since the 20th century. In this work, a de novo transcriptome assembly of Ulmus minor in response to ONU is presented. We used two DED-resistant genotypes, MDV2.3 and VAD2, and one DED-susceptible genotype, MDV1, to capture responses to ONU at four time points post-inoculation (6, 24, 72, and 144 hours). RNA from collected samples was isolated and sequenced producing 60.88 M 100 bp paired-end reads per sample. We performed a de novo transcriptome assembly combining data from the three genotypes. The assembly was functionally annotated and validated through differential gene expression analysis of the response. This dataset provides a valuable resource for studying molecular mechanisms of DED resistance in elms, contributing to broadening our understanding of tree immunity and facilitating potential applications in functional annotation of future genome assemblies.

Transcriptome↗
PubMed2026

Comparative chloroplast genomics of six Bupleurum (Apiaceae) accessions: candidate barcodes, phylogeny based on available plastomes, and candidate RNA-editing sites.

INTRODUCTION: Bupleurum L. (Apiaceae), a taxonomically intricate genus of about 190 species and a source of Radix Bupleuri (Chai Hu), is difficult to discriminate because of convergent morphology, infraspecific variation, and limited genomic sampling. This study aimed to characterize plastome variation, identify and validate candidate molecular markers, reconstruct plastid phylogenetic relationships, and assess candidate plastid RNA-editing sites in Bupleurum. METHODS: We assembled six plastomes from subgenus Bupleurum, screened 51 Bupleurum plastomes for diagnostic loci, reconstructed whole-plastome and partitioned protein-coding-sequence phylogenies, and predicted plastid C-to-U RNA-editing candidates across the six newly assembled plastomes using a PREP-Cp-compatible workflow. Candidate barcode performance was evaluated against the reference plastome phylogenies, and codon-based models were used to test for positive selection. RESULTS: The plastomes were 154,496-155,778 bp with the canonical quadripartite structure and GC contents of 37.67-37.73%. Gene content was stable (131-132 genes; 86-87 protein-coding genes); B. falcatum subsp. cernuum lacked ycf15 but contained an additional inverted-repeat-associated ycf1 annotation. A/U-ending synonymous codons were favoured. Finite pairwise Ka/Ks estimates were below 1 for most genes, and site-specific codon models detected no positive selection. Each plastome contained 55-61 pure microsatellites, dominated by A/T mononucleotide motifs. MarkerSeek ranked 265 features and identified atpF-atpH, petA-psbJ, rpl32-trnL-UAG, and ycf1 as leading candidate barcodes. ycf1 recovered 38 of 41 nodes strongly supported by both reference trees, whereas a partitioned four-locus analysis recovered 40 of 41 and distinguished all 51 accession sequences. However, only one of seven multi-accession operational binomial groups was monophyletic, and only one showed a positive local barcode gap. The whole-plastome phylogeny recovered Bupleurum as monophyletic relative to Chamaesium. The two sampled Penninervia accessions occupied early-diverging positions without forming an exclusive clade. B. falcatum subsp. cernuum was sister to B. ranunculoides, with B. ranunculoides subsp. telonense sister to that pair. A partitioned 74-CDS analysis recovered the same key relationships and 45 of 50 internal bipartitions. Across the six newly assembled plastomes, 57-63 nonsynonymous C-to-U candidates were predicted per accession (367 total) in 21-22 genes; 269 affected the second codon position and 98 the first. DISCUSSION: Bupleurum plastomes are structurally conservative but retain localised divergence useful for marker development. Concordant whole-plastome and CDS genealogies support genus monophyly, whereas sparse Penninervia sampling and maternal plastid inheritance preclude rejecting traditional subgeneric classification. The predicted RNA-editing sites represent candidates for future experimental validation rather than an established Bupleurum editome. These genomic resources support authentication, conservation, and evolutionary research in Bupleurum.

Apiaceae↗
PubMed2003

An analysis of the Candida albicans genome database for soluble secreted proteins using computer-based prediction algorithms.

We sought to identify all genes in the Candida albicans genome database whose deduced proteins would likely be soluble secreted proteins (the secretome). While certain C. albicans secretory proteins have been studied in detail, more data on the entire secretome is needed. One approach to rapidly predict the functions of an entire proteome is to utilize genomic database information and prediction algorithms. Thus, we used a set of prediction algorithms to computationally define a potential C. albicans secretome. We first assembled a validation set of 47 C. albicans proteins that are known to be secreted and 47 that are known not to be secreted. The presence or absence of an N-terminal signal peptide was correctly predicted by SignalP version 2.0 in 47 of 47 known secreted proteins and in 47 of 47 known non-secreted proteins. When all 6165 C. albicans ORFs from CandidaDB were analysed with SignalP, 495 ORFs were predicted to encode proteins with N-terminal signal peptides. In the set of 495 deduced proteins with N-terminal signal peptides, 350 were predicted to have no transmembrane domains (or a single transmembrane domain at the extreme N-terminus) and 300 of these were predicted not to be GPI-anchored. TargetP was used to eliminate proteins with mitochondrial targeting signals, and the final computationally-predicted C. albicans secretome was estimated to consist of up to 283 ORFs. The C. albicans secretome database is available at http://info.med.yale.edu/intmed/infdis/candida/

Algorithms↗
PubMed2006

CEAS: cis-regulatory element annotation system.

The recent availability of high-density human genome tiling arrays enables biologists to conduct ChIP-chip experiments to locate the in vivo-binding sites of transcription factors in the human genome and explore the regulatory mechanisms. Once genomic regions enriched by transcription factor ChIP-chip are located, genome-scale downstream analyses are crucial but difficult for biologists without strong bioinformatics support. We designed and implemented the first web server to streamline the ChIP-chip downstream analyses. Given genome-scale ChIP regions, the cis-regulatory element annotation system (CEAS) retrieves repeat-masked genomic sequences, calculates GC content, plots evolutionary conservation, maps nearby genes and identifies enriched transcription factor-binding motifs. Biologists can utilize CEAS to retrieve useful information for ChIP-chip validation, assemble important knowledge to include in their publication and generate novel hypotheses (e.g. transcription factor cooperative partner) for further study. CEAS helps the adoption of ChIP-chip in mammalian systems and provides insights towards a more comprehensive understanding of transcriptional regulatory mechanisms. The URL of the server is http://ceas.cbi.pku.edu.cn.

Binding Sites↗
PubMed2005

A computational and experimental approach to validating annotations and gene predictions in the Drosophila melanogaster genome.

Five years after the completion of the sequence of the Drosophila melanogaster genome, the number of protein-coding genes it contains remains a matter of debate; the number of computational gene predictions greatly exceeds the number of validated gene annotations. We have assembled a collection of >10,000 gene predictions that do not overlap existing gene annotations and have developed a process for their validation that allows us to efficiently prioritize and experimentally validate predictions from various sources by sequencing RT-PCR products to confirm gene structures. Our data provide experimental evidence for 122 protein-coding genes. Our analyses suggest that the entire collection of predictions contains only approximately 700 additional protein-coding genes. Although we cannot rule out the discovery of genes with unusual features that make them refractory to existing methods, our results suggest that the D. melanogaster genome contains approximately 14,000 protein-coding genes.

Animals↗
PubMed2026

A sequence-based classifier distinguishes phenotype-associated genes from other gene models in plants.

Only a small fraction of annotated plant genes possess experimentally validated associations with specific phenotypes. Phenotype-associated genes have distinct structural, molecular, and evolutionary characteristics compared with nonvalidated gene models. Here, we develop a simple classifier that uses sequence and evolutionary features, which can be generated for any species with an annotated reference genome assembly, to accurately distinguish phenotype-associated genes from both the overall population of annotated gene models and a specific set of genes identified as being tolerant of premature stop mutations. A model trained solely on genes from maize (Zea mays) identifies and prioritizes rice (Oryza sativa) and Arabidopsis (Arabidopsis thaliana) genes that are highly enriched in genes with experimentally validated links to phenotypes in both of these evolutionarily distant species. Gene models predicted to have a higher probability of being linked to phenotypes display patterns consistent with known biological properties of phenotype-associated genes. Notably, the sets of genes predicted to have a high probability of being linked to phenotype variation do not consist exclusively of well-characterized gene families but included many uncharacterized gene families carrying domains of unknown function. The quantitative scores generated by this model offer a valuable resource for prioritizing and exploring the vast number of uncharacterized gene models in plants, reducing the risk of failure in future reverse genetic efforts and potentially accelerating gene discovery and functional annotation in crops.

Phenotype↗
PubMed1999

A highly membrane-active peptide in Flock House virus: implications for the mechanism of nodavirus infection.

BACKGROUND: Nodaviruses are among the simplest animal viruses, and are therefore attractive systems for deconvoluting core viral processes such as assembly, infection and uncoating. Membrane translocation of the single-stranded RNA genome of nodaviruses has been proposed to be mediated by direct lipid-protein interactions between a post-assembly autocatalytic cleavage product from the capsomere and the target membrane. To probe the validity of this hypothesis, we have synthesized a 21-residue Met-->Nle (norleucine) variant of the amino-terminal helical domain (denoted here as gamma1) of the cleavage peptide in Flock House nodavirus (FHV) and studied its ability to alter membrane structure and function. RESULTS: The synthetic peptide gamma1 increases membrane permeability to hydrophilic solutes, as judged by fluorescence experiments with liposome-encapsulated dyes and ion-conductance measurements. Furthermore, peptide orientation and location within lipid bilayers was determined using tryptophan-fluorescence-quenching experiments and attenuated total reflectance infrared spectroscopy. CONCLUSIONS: The helical domain of the FHV cleavage product partitions spontaneously into lipid bilayers and increases membrane permeability, consistent with the postulated mechanism for viral genome translocation. The existence of a membrane-binding domain in the FHV cleavage sequence suggests peptide-triggered disruption of the endosomal membrane as a prelude to viral uncoating in the host cytoplasm. A model for this interaction is proposed.

Amino Acid Sequence↗
PubMed2006

Zinc Finger Tools: custom DNA-binding domains for transcription factors and nucleases.

Individual zinc finger (ZF) domains that recognize DNA triplets with high specificity and affinity can be used to create designer transcription factors and nucleases that are specific for nearly any site in the genome. These domains can be treated as modular units and assembled to create a polydactyl protein that recognizes extended DNA sequences. Deter-mination of valid target sites and the subsequent design of ZF proteins (ZFPs) is error-prone and not trivial, however. As a result, the use of ZFPs have been restricted primarily to those labs with the appropriate expertise. To address these limitations, we have created a user-friendly utility called Zinc Finger Tools (ZF Tools) that can be accessed at the URL http://www.zincfingertools.org. User-supplied DNA sequences can be searched for target sites appropriate for either gene regulation or nuclease targeting. Using a database of experimentally characterized zinc finger domains, the amino acid sequence for a ZFP expected to bind to any chosen target site can be generated. A reverse engineering utility is provided to predict the binding site for a ZFP of known sequence.

Binding Sites↗
PubMed2025

The UTRs of Leishmania donovani vary in length and are enriched in potential regulatory structures.

Leishmania spp. regulate gene expression largely post-transcriptionally, yet untranslated regions (UTRs) remain poorly delineated. We generated high-quality genome and transcriptome datasets for Leishmania donovani strain 1S2D (Ld1S) by combining PacBio HiFi de novo assembly with Oxford Nanopore direct RNA sequencing of promastigotes and axenic amastigotes. The genome assembly consists of 65 scaffolds totaling ~33.3 Mb. Structural comparisons to LdBPK282A1 revealed numerous rearrangements, including some reshuffling genes among polycistronic transcription units and validated by polycistronic reads from RNA sequencing. Promastigote and amastigote RNA sequencing produced 469,010 and 46,729 monocistronic reads containing a spliced-leader and a polyA tail sequences, defining 8,479 transcripts and supporting 7,415 of the 7,969 annotated protein coding genes, as well as 604 putative long non-coding RNAs. We annotated UTRs for 4,921 genes and observed that putative RNA G-quadruplexes were markedly enriched in UTRs. We also noted that 31.9% and 11.5% were expressed into multiple isoforms in promastigotes and amastigotes, respectively. Collectively, these data provide a comprehensive annotation of L. donovani genes and their UTRs and reveal widespread and stage-specific UTR length polymorphisms, and, overall, points to an important role of 3' UTR in post-transcriptional regulation in L. donovani.

Journal Article↗
PubMed2002

Parallel construction of orthologous sequence-ready clone contig maps in multiple species.

Comparison is a fundamental tool for analyzing DNA sequence. Interspecies sequence comparison is particularly powerful for inferring genome function and is based on the simple premise that conserved sequences are likely to be important. Thus, the comparison of a genomic sequence with its orthologous counterpart from another species is increasingly becoming an integral component of genome analysis. In ideal situations, such comparisons are performed with orthologous sequences from multiple species. To facilitate multispecies comparative sequence analysis, a robust and scalable strategy for simultaneously constructing sequence-ready bacterial artificial chromosome (BAC) contig maps from targeted genomic regions has been developed. Central to this approach is the generation and utilization of "universal" oligonucleotide-based hybridization probes ("overgo" probes), which are designed from sequences that are highly conserved between distantly related species. Large collections of these probes are used en masse to screen BAC libraries from multiple species in parallel, with the isolated clones assembled into physical contig maps. To validate the effectiveness of this strategy, efforts were focused on the construction of BAC-based physical maps from multiple mammalian species (chimpanzee, baboon, cat, dog, cow, and pig). Using available human and mouse genomic sequence and a newly developed computer program to design the requisite probes, sequence-ready maps were constructed in all species for a series of targeted regions totaling approximately 16 Mb in the human genome. The described approach can be used to facilitate the multispecies comparative sequencing of targeted genomic regions and can be adapted for constructing BAC contig maps in other vertebrates.

Animals↗
PubMed2003

Complete physical map and gene content of the human NF1 tumor suppressor region in human and mouse.

Duplicon-mediated microdeletions around the NF1 gene are frequently associated with a severe form of neurofibromatosis type I in a subgroup of patients who show an earlier onset of cutaneous neurofibromas, dysmorphic facial features, and lower IQ values. To clarify the discrepancies between published maps of the NF1 tumor-suppressor gene region as well as the length of gaps in these assemblies and to validate the recently described tandem duplication of the human NF1 locus, we assembled a contiguous high-density map of BAC and PAC clones from different genomic libraries. Although two WI-12393-derived low-copy fragments are known to occur at the proximal and distal boundaries of the 1.5-Mb segment that is usually deleted in NF1 microdeletion patients, we identified an additional WI-12393-related segment between the MGC13061 and the NF1 gene, which appears to trigger interstitial deletions of smaller size as observed in two patients. Moreover, we completed the genomic organization and cDNA structure of all functional genes, CYTOR4, FLJ12735, FLJ22729, CENTA2, MGC13061, NF1, OMG, EVI2B, EVI2A, KIAA1821, MGC11316, HCA66, KIAA0160, and WI-12393, from this region. A comparison of the human map to the orthologous region on mouse chromosome 11 revealed significant differences in the number and arrangement of genes, indicating that many chromosomal breaks with partial duplications, inversions, and deletions occurred predominantly in the primate lineage.

Adult↗