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Genomics

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Genome-wide cyclin gene evolution in Arabidopsis and Brassica reveals polyploidization-driven duplication and flowering-time associations.

Cyclin genes are plant cell cycle regulators that play essential roles in growth, development, and reproduction. However, the evolutionary dynamics and genomic organization of cyclin genes across the Brassicaceae family remain poorly understood, particularly in the context of allotetraploid genome evolution. Here, we investigated the diversity, expansion mechanisms, and potential functional diversification of cyclin genes across ten Brassicaceae genomes, including four Arabidopsis and six Brassica species. A total of 1087 cyclin genes representing 23 cyclin types were identified. Comparative genomic analyses revealed that cyclin gene expansion was strongly influenced by polyploidization in Brassica species, with 1845 duplication events involving 1063 genes. Whole-genome duplication was the predominant mechanism driving expansion, while both inter- and intra-genomic duplications contributed to gene retention in tetraploid Brassica species, with the highest duplication frequency observed in Brassica juncea. Across genomes, 120 physical gene clusters were identified, including homogeneous and heterogeneous types. Ortholog analysis between progenitor and allotetraploid species identified 852 orthologous pairs involving 366 genes, indicating extensive conservation following allotetraploid formation. Phylogenetic analysis resolved cyclins into three major clades, while expression-based clustering in Brassica napus grouped genes into four major clusters, suggesting functional diversification. Integration of pan-genomic and flowering-time QTL analyses further identified two cyclin genes, Bna21cycA2 and Bna113cycD4, which contain amino acid polymorphisms and represent putative candidate variations potentially associated with flowering-time variation across multiple genomes. These findings provide new insights into the evolutionary expansion, retention, and potential functional divergence of cyclin genes in Brassicaceae and highlight candidate loci for future functional studies and crop improvement.

Evolution, Molecular↗

Assembly and Characterization of the First Complete Mitochondrial Genome of Tussilago farfara L.: Insights into Biological Functions and Phylogenetic Relationships within the Asteraceae Family.

Tussilago farfara L., a member of the Asteraceae family, is an economically valuable species due to its edible and medicinal properties. To elucidate the structural characteristics, genetic mechanisms, and evolutionary pathways of the organelle genomes of T. farfara, we sequenced, assembled, and annotated its mitochondrial genome for the first time. The complete mitochondrial genome of T. farfara spans 306,024 bp and contains 33 mitochondrial protein-coding genes (PCGs), 3 rRNAs, and 22 tRNAs. Analysis of the nucleotide substitution rate and genetic diversity revealed that most mitochondrial genome genes may have undergone purifying selection, indicating a slow evolutionary rate and a relatively conserved genomic structure. We further identified 13 fragments of chloroplast-derived DNA integrated into the mitochondrial genome, evidencing intracellular gene transfer. Collinearity analysis showed that Arctium lappa shares the most extensive mitochondrial homologous sequences and the highest sequence similarity with T. farfara. Phylogenetic analysis based on the mitochondrial genome helped to clarify the evolutionary and taxonomic position of T. farfara within the Asteraceae family. The mitochondrial genome sequence of T. farfara provides a valuable genomic resource for species identification and for evolutionary studies within the Asteraceae family.

Genome, Mitochondrial↗

Genome sequence data of the chitinase-producing bacterium Paenibacillus mucilaginosus YWY-5.1.

Paenibacillus mucilaginosus is a beneficial bacterium widely applied as a biofertilizer in agriculture. To date, genomic information on this species remains limited; however, no genome assemblies from Vietnam have been reported. This work presented the draft genome of P. mucilaginosus YWY-5.1, a promising strain with strong chitin-degrading capability and agricultural potential, isolated from Yok Don National Park, Vietnam, using Illumina technology. Results showed that the assembled genome comprised 48 contigs with 4,076,146 bp and 73.8% GC-content. Genome annotation identified 3,611 protein-coding genes, 2 rRNA genes, and 53 tRNA genes. A total of 150 carbohydrate-active enzyme-related genes were predicted from the genome; among them, seven putative chitinolytic genes were identified, including 4 genes related to family 18 chitinase, 2 genes to family 20 β-N-acetylglucosaminidase, and one gene to auxiliary activity family 10. In addition, at least 32 genes related to plant growth-promoting functions were identified, including those associated with indole-3-acetic acid production, phosphate and potassium solubilization, siderophore biosynthesis, iron uptake, ACC metabolism, and nitrate transport and reduction. Furthermore, genome mining identified 4 biosynthetic gene clusters probably involved in secondary metabolite production, of which 3 displayed no similarity to previously reported clusters, indicating potential for novel bioactive compounds. These genomic data improved our understanding of the biodegradation capacity and agricultural potential of P. mucilaginosus YWY-5.1 isolated from Vietnam, and provided a valuable genomic resource for future functional and biotechnological investigations toward crop production and related fields.

Chitinases↗

A platypus' eye view of the mammalian genome.

The genome of monotremes, like the animals themselves, is unique and strange. The importance of monotremes to genomics depends on their position as the earliest offshoot of the mammalian lineage. Although there has been controversy in the literature over the phylogenetic position of monotremes, this traditional interpretation is now confirmed by recent sequence comparisons. Characterizing the monotreme genome will therefore be important for studying the evolution and organization of the mammalian genome, and the proposal to sequence the platypus genome has been received enthusiastically by the genomics community. Recent investigations of X-chromosome inactivation, genomic imprinting and sex chromosome evolution provide good examples of the power of the monotreme genome to inform us about mammalian genome organization and evolution.

Animals↗

Causes and effects of nuclear genome reduction.

Eukaryotic nuclear genomes are generally considered to be large and gene-sparse, but extreme reduction has taken place several times, resulting in small genomes with a high gene-density. This process involves losing genes, compacting those that remain, or often both. Recently sequenced nuclear genomes include several that have converged to similar gene-densities by many means: variation in numbers and lengths of genes, intergenic regions and introns all contribute, but not equally in any given genome. Genomes of microsporidia and nucleomorphs have taken compaction much further, and in these hyper-compacted genomes there is evidence that some basic processes such as gene expression might be affected by genome form. In these genomes, normally weak forces might become more significant drivers of genome evolution.

Animals↗

The microbial pan-genome.

A decade after the beginning of the genomic era, the question of how genomics can describe a bacterial species has not been fully addressed. Experimental data have shown that in some species new genes are discovered even after sequencing the genomes of several strains. Mathematical modeling predicts that new genes will be discovered even after sequencing hundreds of genomes per species. Therefore, a bacterial species can be described by its pan-genome, which is composed of a "core genome" containing genes present in all strains, and a "dispensable genome" containing genes present in two or more strains and genes unique to single strains. Given that the number of unique genes is vast, the pan-genome of a bacterial species might be orders of magnitude larger than any single genome.

Animals↗

Genome-wide variation analysis of two Salvia hispanica L. genotypes and implication for associations with metabolic and adaptive traits.

BACKGROUND: Advances in next-generation sequencing have accelerated genome-wide exploration of genetic diversity in underutilized oilseed crops. Salvia hispanica L. (chia), a high-nutrient pseudocereal rich in omega-3 fatty acids, is increasingly valued for its health benefits and commercial potential, yet it remains poorly characterized at the genomic level. Understanding the scale and nature of genomic variation is essential for improving complex traits such as oil yield, stress tolerance, and seed quality. METHODS: Two contrasting chia genotypes, Black-chia (CACH-B) and White- chia (CACH-W), were resequenced using the Bio-Resequencing Toolkit (BRT) pipeline. High-coverage sequencing, with a mapping rate exceeding 99% and an average depth of approximately 28×, facilitated the detection and annotation of single-nucleotide polymorphisms (SNPs), insertions and deletions (InDels), copy-number variations (CNVs), and structural variants (SVs). The functional classification of variant impacts enabled the identification of genes potentially linked to metabolic and adaptive traits. RESULTS: A total of 1.97 million SNPs, 401,493 InDels, 836 CNVs, and 15,288 SVs were identified across the chia genome. Notably, approximately 53% of exonic SNPs were non-synonymous (dN/dS ≈ 1.28), predominantly affecting lipid metabolism, transcriptional regulation, and stress response pathways, potentially altering key agronomic traits. In addition, CNV hotspots were concentrated in chromosomes 3 and 6, overlapping MYB, WRKY, and bZIP transcription factor loci, may potentially be involved in stress tolerance and yield. Furthermore, structural rearrangements, including inversions and duplications within the FAD2, FAD3, and CYP450 gene clusters, were potentially associated with seed pigmentation and omega-3 biosynthesis, pointing to their potential breeding relevance. Observed heterozygosity (Hₒ ≈ 0.71) and nucleotide diversity (π ≈ 7 × 10-3) indicated moderate to high allelic richness. In addition, the low FST value (0.038) indicates substantial genomic similarity between the two genotypes. CONCLUSION: This study presents the first comprehensive map integrating SNPs, CNVs, and SVs in S. hispanica L. The results reveal a structurally dynamic genome characterized by substantial sequence and structural variation, providing valuable insights into genomic diversity and potential adaptive mechanisms in chia. The coexistence of high SNP diversity and abundant structural variation underpins chia's nutritional specialization and environmental resilience. These results deliver a foundational genomic resource for marker-assisted breeding, genome-wide association studies, and the development of climate-resilient chia cultivars.

Copy-number variation, structural variation↗

Use of competitive DNA hybridization to identify differences in the genomes of bacteria.

Although recent technological advances in DNA sequencing and computational biology now allow scientists to compare entire microbial genomes, comparisons of closely related bacterial species and individual isolates by whole-genome sequencing approaches remains prohibitively expensive for most laboratories. Here we report the development and testing of a biochemical approach for targeted sequencing of only those chromosomal regions that differ between two DNA preparations. The method, designated GFE (genome fragment enrichment) uses competitive solution hybridization and positive selection to obtain genomic DNA fragments that are present in one pool of fragments but not another. Repeated comparisons of the genomes of Enterococcus faecalis and E. faecium led to the identification of 225 putative genome-specific DNA fragments. Species and strain variations within these fragments were confirmed by both experimental and bioinformatic analyses. The E. faecalis genome-specific sequences identified included both a preponderance of those predicted to encode surface-exposed proteins, as well as several previously described unique marker regions embedded within highly conserved rrn operons. The GFE strategy we describe efficiently identified genomic differences between two enterococcal genomes, and will be widely applicable for studying genetic variation among closely related bacterial species.

DNA, Bacterial↗

The genome project of Taenia solium.

We have constituted a consortium of key laboratories at the National Autonomous University of Mexico to carry out a genomic project for Taenia solium. This project will provide powerful resources for the study of taeniasis/cysticercosis, and, in conjunction with the Echinococcus granulosus and Echinococcus multilocularis genome project of expressed sequence tags (ESTs), will mark the advent of genomics for cestode parasites. Our project is planned in two consecutive stages. The first stage is being carried out to determine some basic parameters of the T. solium genome. Afterwards, we will evaluate the best strategy for the second stage, a full blown genome project. We have estimated the T. solium genome size by two different approaches: cytofluorometry on isolated cyton nuclei, as well as a probabilistic calculation based on approximately 2000 sequenced genomic clones, approximately 3000 ESTs, resulting in size estimates of 270 and 251 Mb, respectively. In terms of sequencing, our goal for the first stage is to characterize several thousand EST's (from adult worm and cysticerci cDNA libraries) and genomic clones. Results obtained so far from about 16,000 sequenced ESTs from the adult stage, show that only about 40% of the T. solium coding sequences have a previously sequenced homologue. Many of the best hits are found with mammalian genes, especially with humans. However, 1.5% of the hits lack homologues in humans, making these genes immediate candidates for investigation on pharmaco-therapy, diagnostics and vaccination. Most T. solium ESTs are related to gene regulation, and signal transduction. Other important functions are housekeeping, metabolism, cell division, cytoskeleton, proteases, vacuolar transport, hormone response, and extracellular matrix activities. Preliminary results also suggest that the genome of T. solium is not highly repetitive.

Animals↗

Discovery of a large number of previously unrecognized mitochondrial pseudogenes in fish genomes.

Nuclear inserted copies of mitochondrial origin (numts) vary widely among eukaryotes, with human and plant genomes harboring the largest repertoires. Numts were previously thought to be absent from fish species, but the recent release of three fish nuclear genome sequences provides the resource to obtain a more comprehensive insight into the extent of mtDNA transfer in fishes. From the sequence analyses of the genomes of Fugu rubripes, Tetraodon nigroviridis, and Danio rerio, we have identified 2, 5, and 10 recent numt integrations, respectively, which integrated into those genomes less than 0.6 million years (Myr) ago. Such results contradict the hypothesis of absence or rarity of numts in fishes, as (i) the ratio of numts to the total size of the nuclear genome in T. nigroviridis was superior to the ratio observed in several higher vertebrate species (e.g., chicken, mouse, and rat), and only surpassed by humans, and (ii) the mtDNA coverage transferred to the nuclear genome of D. rerio is exceeded only by human and mouse, within the whole range of eukaryotic genomes surveyed for numts. Additionally, 335, 336, and 471 old numts (>12.5 Myr) were detected in F. rubripes, T. nigroviridis, and D. rerio, respectively. Surprisingly, old numts are inserted preferentially into known or predicted genes, as inferred for recent numts in human. However, because in fish genomes such integrations are old, they are likely to represent evolutionary successes and they may be considered a potential important evolutionary mechanism for the enhancement of genomic coding regions.

Animals↗

Genome-wide analysis of DNA copy-number changes using cDNA microarrays.

Gene amplifications and deletions frequently contribute to tumorigenesis. Characterization of these DNA copy-number changes is important for both the basic understanding of cancer and its diagnosis. Comparative genomic hybridization (CGH) was developed to survey DNA copy-number variations across a whole genome. With CGH, differentially labelled test and reference genomic DNAs are co-hybridized to normal metaphase chromosomes, and fluorescence ratios along the length of chromosomes provide a cytogenetic representation of DNA copy-number variation. CGH, however, has a limited ( approximately 20 Mb) mapping resolution, and higher-resolution techniques, such as fluorescence in situ hybridization (FISH), are prohibitively labour-intensive on a genomic scale. Array-based CGH, in which fluorescence ratios at arrayed DNA elements provide a locus-by-locus measure of DNA copy-number variation, represents another means of achieving increased mapping resolution. Published array CGH methods have relied on large genomic clone (for example BAC) array targets and have covered only a small fraction of the human genome. cDNAs representing over 30,000 radiation-hybrid (RH)-mapped human genes provide an alternative and readily available genomic resource for mapping DNA copy-number changes. Although cDNA microarrays have been used extensively to characterize variation in human gene expression, human genomic DNA is a far more complex mixture than the mRNA representation of human cells. Therefore, analysis of DNA copy-number variation using cDNA microarrays would require a sensitivity of detection an order of magnitude greater than has been routinely reported. We describe here a cDNA microarray-based CGH method, and its application to DNA copy-number variation analysis in breast cancer cell lines and tumours. Using this assay, we were able to identify gene amplifications and deletions genome-wide and with high resolution, and compare alterations in DNA copy number and gene expression.

Chromosomes, Human, Pair 17↗

Characterisation of the chloroplast genome of Macrotyloma species: comparative analysis and phylogenomic insights.

Macrotyloma is an underutilised legume genus within the tribe Phaseoleae (Fabaceae) that includes nutritionally and agronomically important crops such as horse gram (Macrotyloma uniflorum) and Kersting's groundnut (Macrotyloma geocarpum). Despite their importance, knowledge of the chloroplast (cp.) genome of this genus remains limited. In this study, we assembled and analysed the complete chloroplast genomes of three Macrotyloma species: M. uniflorum, M. geocarpum, and M. axillare. The chloroplast genomes were assembled into two isoforms that differ in the orientation of the small single-copy (SSC) region. Genome sizes ranged from 150,811 to 151,013 bp and exhibited the canonical quadripartite structure, comprising a pair of inverted repeats (IRa and IRb; 26,416-26,436 bp each), a large single-copy region (LSC; 80,229-80,446 bp), and a small single-copy region (SSC; 17,710-17,711 bp). Each genome encoded 110 unique genes, including 4 rRNA genes, 30 tRNA genes, and 76 protein-coding genes. All three species also possessed the ~ 50 kb inversion in the LSC region, a synapomorphy shared among a large clade within the Papilionoideae subfamily of Fabaceae. Although overall chloroplast genome structure and organisation were highly conserved among Macrotyloma species, gene-wise nucleotide diversity analysis identified seven relatively variable genes: rps18, rps15, ccsA, ndhA, ycf1, ycf4, and psaI. Phylogenomic analysis based on complete chloroplast genomes robustly resolved Macrotyloma as a monophyletic group within the Phaseolinae clade of the Papilionoideae subfamily. Within the genus, M. uniflorum and M. axillare formed a strongly supported sister pair, with M. geocarpum sister to this clade. Overall, this study provides valuable insights into chloroplast genome evolution in Macrotyloma and enhances understanding of its phylogenetic placement within Phaseoleae, offering genomic resources for future evolutionary, taxonomic, and conservation studies of this underutilised legume genus.

Genome, Chloroplast↗

Characterization and comparative analysis of the complete chloroplast genomes of twelve Allium species from Kazakhstan.

The genus Allium L. represents one of the largest and taxonomically complex groups of monocots, with Central Asia recognized as a major center of its diversity. Despite the high species richness of Allium in Kazakhstan, genomic data for many native taxa remain limited. In this study, we sequenced, assembled, and analyzed the complete chloroplast genomes of 12 Allium species from Kazakhstan. All chloroplast genomes exhibited a conserved quadripartite structure, with genome sizes ranging from 152,029 to 153,521 bp and a uniform gene content of 137 genes, including 88 protein-coding genes, 38 tRNAs, 8 rRNAs, and 3 pseudogenes. Comparative analyses revealed high structural conservation, with most sequence divergence concentrated in intergenic regions. Several highly variable regions, including ycf1, matK, rpoC2, and ycf2, were identified as potential molecular markers. Phylogenetic analyses based on chloroplast genome sequences using Maximum Likelihood and Bayesian approaches recovered three major chloroplast genome-based lineages within Allium, largely consistent with previous phylogenomic studies. Divergence-time analyses suggested that major chloroplast lineage diversification events within the genus occurred during the early Eocene (ca. 47.97 Mya). Overall, this study expands the currently available chloroplast genomic resources for Allium from Kazakhstan, provides insights into chloroplast genome evolution and chloroplast genome-based relationships, and establishes a valuable foundation for future phylogenetic, taxonomic, and evolutionary studies of this diverse genus.

Genome, Chloroplast↗

Toward a successful multinational crop plant genome initiative.

Plant genome research is needed as the foundation for an entirely new level of efficiency and success in the application of genetics and breeding to crop plants and products from crop plants. Genetic improvements in crop plants beyond current capabilities are needed to meet the growing world demand not only for more food, but also a greater diversity of food, higher-quality food, and safer food, produced on less land, while conserving soil, water, and genetic resources. Plant biology research, which is poised for dramatic advances, also depends fundamentally on plant genome research. The current Arabidopsis Genome Project has proved of immediate value to plant biology research, but a much greater effort is needed to ensure the full benefits of plant biology and especially plant genome research to agriculture. International cooperation is critical, both because genome projects are too large for any one country and the information forthcoming is of benefit to the world and not just the countries that do the work. Recent research on grass genomes has revealed that, because of extensive senteny and colinearity within linkage groups that make up the chromosomes, new information on the genome of one grass can be used to understand the genomes and predict the location of genes on chromosomes of the other grasses. Genome research applied to grasses as a group thereby can increase the efficiency and effectiveness of breeding for improvement of each member of this group, which includes wheat, corn, and rice, the world's three most important sources of food.

Animals↗

Non-gamma-proteobacteria gene islands contribute to the Xanthomonas genome.

Horizontal gene transfer, a process through which genomes acquire sequences from distantly related organisms, is believed to be a major source of genetic diversity in bacteria. A central question concerning the impact of gene transfer on bacterial genome evolution is the proportion of horizontally transferred sequences within genomes. Through BLAST search, we found that the genomes of two phytopathogens, Xanthomonas campestris pv. campestris and Xanthomonas axonopodis pv. citri, have close to 40% of the genes with the highest similarity to genes from phylogenetically distant organisms (non-gamma-proteobacteria). Most of these genes are found to be contiguous in the genome, forming genome islands, which may have been transferred from other organisms. Overall, the total number of genes within genome islands corresponds to almost one quarter of the entire xanthomonad genomes. Interestingly, many of the genes in these islands are functionally related to plant pathogenesis and virulence. Thus, these results suggest that horizontally transferred genes are clustered in the genome, and may facilitate fitness in new environments, as in the case of plant-bacteria interaction.

Evolution, Molecular↗

Pitfalls of bacterial pan-genome analysis approaches: a case study of Mycobacterium tuberculosis and two less clonal bacterial species.

SUMMARY: Pan-genome analysis is a fundamental tool for studying bacterial genome evolution; however, the variety in methods used to define and measure the pan-genome poses challenges to the interpretation and reliability of results. Using Mycobacterium tuberculosis, a clonally evolving bacterium with a small accessory genome, as a model system, we systematically evaluated sources of variability in pan-genome estimates. Our analysis revealed that differences in assembly type (short-read versus hybrid), annotation pipeline, and pan-genome software, significantly impact predictions of core and accessory genome size. Extending our analysis to two additional bacterial species, Escherichia coli and Staphylococcus aureus, we observed consistent tool-dependent biases but species-specific patterns in pan-genome variability. Our findings highlight the importance of integrating nucleotide- and protein-level analyses to improve the reliability and reproducibility of pan-genome studies across diverse bacterial populations. AVAILABILITY AND IMPLEMENTATION: Panqc is freely available under an MIT license at https://github.com/maxgmarin/panqc.

Genome, Bacterial↗

A computational tool for the genomic identification of regions of unusual compositional properties and its utilization in the detection of horizontally transferred sequences.

Similarity Plot (S-plot) is a Windows-based application for large-scale comparisons and 2-dimensional visualization of compositional similarities between genomic sequences. This application combines 2 approaches widely used in genomics: window analysis of statistical characteristics along genomes and dot-plot visual representation. S-plot is effective in identifying highly similar regions between genomes as well as regions with unusual compositional properties (RUCPs) within a single genome, which may be indicative of horizontal gene transfer or of locus-specific selective forces. We use S-plot to identify regions that may have originated through horizontal gene transfer through a 2-step approach, by first comparing a genomic sequence to itself and, subsequently, comparing it to the genomic sequence of a closely related taxon. Moreover, by comparing these suspect sequences to one another, we can estimate a minimum number of sources for these putative xenologous sequences. We illustrate the uses of S-plot in a comparison involving Escherichia coli K12 and E. coli O157:H7. In O157:H7, we found 145 regions that have most probably originated through horizontal gene transfer. By using S-plot to compare each of these regions with 277 completely sequenced prokaryotic genomes, 1 sequence was found to have similar compositional properties to the Yersinia pseudotuberculosis genome, indicating a transfer from a Yersinia or Yersinia relative. Based upon our analysis of RUCPs in O157:H7, we infer that there were at least 53 sources of horizontally transferred sequences.

DNA, Bacterial↗

MolliGen, a database dedicated to the comparative genomics of Mollicutes.

Bacteria belonging to the class Mollicutes were among the first ones to be selected for complete genome sequencing because of the minimal size of their genomes and their pathogenicity for humans and a broad range of animals and plants. At this time six genome sequences have been publicly released (Mycoplasma genitalium, Mycoplasma pneumoniae, Ureaplasma urealyticum-parvum, Mycoplasma pulmonis, Mycoplasma penetrans and Mycoplasma gallisepticum) and as the number of available mollicute genomes increases, comparative genomics analysis within this model group of organisms becomes more and more instructive. However, such an analysis is difficult to carry out without a suitable platform gathering not only the original annotations but also relevant information available in public databases or obtained by applying common bioinformatics methods. With the aim of solving these difficulties, we have developed a web-accessible database named MolliGen (http://cbi.labri.fr/outils/molligen/). After selecting a set of genomes the user can launch various types of search based on annotation, position on the chromosomes or sequence similarity. In addition, relationships of putative orthology have been precomputed to allow differential genome queries. The results are presented in table format with multiple links to public databases and to bioinformatic analyses such as multiple alignments or BLAST search. Specific tools were also developed for the graphical visualization of the results, including a multi- genome browser for displaying dynamic pictures with clickable objects and for viewing relationships of precomputed similarity. MolliGen is designed to integrate all the complete genomes of mollicutes as they become available.

Computational Biology↗