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PubMed1999

Intron-genome size relationship on a large evolutionary scale.

The intron-genome size relationship was studied across a wide evolutionary range (from slime mold and yeast to human and maize), as well as the relationship between genome size and the ratio of intervening/coding sequence size. The average intron size is scaled to genome size with a slope of about one-fourth for the log-transformed values; i.e., on the global scale its increase in evolution is lower than the increase in genome size by four orders of magnitude. There are exceptions to the general trend. In baker's yeast introns are extraordinarily long for its genome size. Tetrapods also have longer introns than expected for their genome sizes. In teleost fish the mean intron size does not differ significantly, notwithstanding the differences in genome size. In contrast to previous reports, avian introns were not found to be significantly shorter than introns of mammals, although avian genomes are smaller than genomes of mammals on average by about a factor of 2.5. The extra-/intragenic ratio of noncoding DNA can be higher in fungi than in animals, notwithstanding the smaller fungal genomes. In vertebrates and invertebrates taken separately, this ratio is increasing as the increase in genome size. Two hypotheses are proposed to explain the variation in the extra-/intragenic ratio of noncoding DNA in organisms with similar numbers of genes: transition (dynamic) and equilibrium (static). According to the transition model, this variation arises with the rapid shift of genome size because the bulk of extragenic DNA can be changed more rapidly than the finely interspersed intron sequences. The equilibrium model assumes that this variation is a result of selective adjustment of genome size with constraints imposed on the intron size due to its putative link to chromatin structure (and constraints of the splicing machinery).

Animals↗

PubMed2003

Variation of the genome size estimate with environmental conditions in Drosophila melanogaster.

BACKGROUND: Genome size is known to exhibit interspecies differences, but also to vary between populations within a given species and even between individual cells within an organism. Major differences have often been reported and attributed to differences in measurement conditions, in internal controls of genome size, and in the stains used. Flow cytometry using intercalating dyes is the most attractive method for measuring genome size. METHODS: We estimated relative genome size of nuclei from heads of Drosophila melanogaster adult males using a FACScalibur flow cytometer and propidium iodide. RESULTS: We have shown that the genome size estimates depended on the temperature and humidity of the rearing medium and decreased with age in adult flies. There were large differences in genome size estimates between the vials in which the flies were maintained, but only slight variations within the vials, supporting the idea that the size estimate depends on the fly rearing conditions. Changes in the temperature of the solution of head nuclei analyzed by the cytometer also influenced the genome size estimate. CONCLUSIONS: These findings clearly show that the environmental conditions under which the flies were reared influence the genome size estimate, perhaps as a result of a change in the accessibility of the DNA to the fluorochrome. Caution is therefore called for when estimating genome size. Experimental artifact rather than adaptation may account for some of the correlations between genome size and environmental conditions reported in the literature.

Animals↗

PubMed2004

The arbuscular mycorrhizal fungus Glomus intraradices is haploid and has a small genome size in the lower limit of eukaryotes.

The genome size, complexity, and ploidy of the arbuscular mycorrhizal fungus (AMF) Glomus intraradices was determined using flow cytometry, reassociation kinetics, and genomic reconstruction. Nuclei of G. intraradices from in vitro culture, were analyzed by flow cytometry. The estimated average length of DNA per nucleus was 14.07+/-3.52 Mb. Reassociation kinetics on G. intraradices DNA indicated a haploid genome size of approximately 16.54 Mb, comprising 88.36% single copy DNA, 1.59% repetitive DNA, and 10.05% fold-back DNA. To determine ploidy, the DNA content per nucleus measured by flow cytometry was compared with the genome estimate of reassociation kinetics. G. intraradices was found to have a DNA index (DNA per nucleus per haploid genome size) of approximately 0.9, indicating that it is haploid. Genomic DNA of G. intraradices was also analyzed by genomic reconstruction using four genes (Malate synthase, RecA, Rad32, and Hsp88). Because we used flow cytometry and reassociation kinetics to reveal the genome size of G. intraradices and show that it is haploid, then a similar value for genome size should be found when using genomic reconstruction as long as the genes studied are single copy. The average genome size estimate was 15.74+/-1.69 Mb indicating that these four genes are single copy per haploid genome and per nucleus of G. intraradices. Our results show that the genome size of G. intraradices is much smaller than estimates of other AMF and that the unusually high within-spore genetic variation that is seen in this fungus cannot be due to high ploidy.

DNA, Fungal↗

PubMed2025

Genome size estimation from long read overlaps.

MOTIVATION: Accurate genome size estimation is an important component of genomic analyses such as assembly and coverage calculation, though existing tools are primarily optimized for short-read data. RESULTS: We present LRGE, a novel tool that uses read-to-read overlap information to estimate genome size in a reference-free manner. LRGE calculates per-read genome size estimates by analysing the expected number of overlaps for each read, considering read lengths and a minimum overlap threshold. The final size is taken as the median of these estimates, ensuring robustness to outliers such as reads with no overlaps. Additionally, LRGE provides an expected confidence range for the estimate. We validate LRGE on a large, diverse bacterial dataset and confirm it generalizes to eukaryotic datasets. On bacterial genomes, LRGE outperforms k-mer-based methods in both accuracy and computational efficiency and produces genome size estimates comparable to those from assembly-based approaches, like Raven, while using significantly less computational resources. AVAILABILITY AND IMPLEMENTATION: Our method, LRGE (Long Read-based Genome size Estimation from overlaps), is implemented in Rust and is available as a precompiled binary for most architectures, a Bioconda package, a prebuilt container image, and a crates.io package as a binary (lrge) or library (liblrge). The source code is available at https://github.com/mbhall88/lrge and an archive at https://doi.org/10.5281/zenodo.17183812 under an MIT license.

Genome Size↗

PubMed2003

Genome size and longevity in fish.

The wide variety of genome sizes (measured as C-value) observed across taxa is not related to organismal complexity or number of coding genes. Partial answers to this C-value enigma have been found by establishing associations between C-value and particular phenotypic characteristics. One such controversial association has been recently suggested between genome size and longevity in birds. In order to determine whether genome size is a general predictor of longevity, we have extended the analysis to the Actinoptergyian fish, a widely divergent group in terms of both longevity and genome size. We collected data on genome size, longevity and body mass for species covering fourteen orders of bony fish. Analysis of covariance using order as a cofactor shows a significant effect of genome size on longevity (corrected for body mass), with lifespan increasing as a function of genome size. Analysis of phylogenetically independent contrasts for orders with a large number of species with a well resolved phylogenetic relationship (Acipenseriformes, Cypriniformes, and Salmoniformes) found the same trend of longer lifespan with increases in genome size but the relationship was not significant. Our results consistently show an increase in lifespan for fish with larger genomes.

Analysis of Variance↗

PubMed1993

Endotherms, ectotherms, and mitochondrial genome-size variation.

The patterns of mitochondrial genome-size variation were investigated in endothermic and ectothermic species to examine the role that thermal habit might play in the evolution of animal mitochondrial DNA (mtDNA). Data on mtDNA size (the modal, largest, and smallest mtDNA reported within a species), the percent variation in mtDNA size (the difference in size between the largest and smallest mtDNAs divided by the model genome size for a given species), and the frequency of heteroplasmic individuals (those carrying more than one mtDNA length variant) were tabulated from the literature. Endotherms showed significantly less variation in mtDNA size and tended to have smaller mtDNAs than ectotherms. Further comparisons between endothermic and ectothermic vertebrates revealed that the largest genome and the percent variation in genome size were significantly smaller in the former than the latter. There was no difference between endotherms and ectotherms in the frequency of heteroplasmy. These data are discussed in light of two hypotheses: (1) more intense directional and purifying selection for small genome size in the cytoplasms of species with higher metabolic rates and (2) reduced mutation pressures generating mtDNA size variants in endotherms relative to those in ectotherms. The general trends are consistent with the selection hypothesis but in certain species mtDNA size variation appears to be governed by mutational pressures. To test these competing hypotheses further, comparative studies are proposed where mitochondrial genome size is quantified in sister taxa and tissue types with very different metabolic rates.

Animal Population Groups↗

PubMed1990

[The study on genome size of leptospires].

Determination of genome size is very important in genetic studies and the molecular cloning of leptospires. With pulsed field gel electrophoresis (PFGE), which can be used in the analysis of large DNA molecules, we studied the genome size of leptospires and analysed it with rare cutter restrict endonuclease Not I. The PFGE system used was CHEF-DR II which produced parallel bands in agarose gel. The results showed that the genome size of leptospires was 2000kb and there was no dramatic difference between the 5 strains of 2 genus leptospira. Rare cutter Not I digestion of genome DNA of leptospira resulted in 11 bands and its bands pattern was quite different from that of E. coli, S. choleraesuis, S. typhimurium, and S. dysenteriae genome DNA. It is thought that more information can be obtained about leptospiral DNA with PFGE technique.

Cloning, Molecular↗

PubMed2002

Genome size and the accumulation of simple sequence repeats: implications of new data from genome sequencing projects.

The relationship between the level of repetitiveness in genomic sequences and genome size has been re-investigated making use of the rapidly growing database of complete eubacterial and archaeal genome sequences combined with the fragmentary but now large amount of data from eukaryotic genomes. Relative simplicity factors (RSFs), which measure the repetitiveness of sequences, were calculated and significantly simple motifs (SSMs), which identify the kinds of sequences that are repeated, were identified. A previously reported correlation between genome size and repetitiveness was confirmed, but it was shown that the higher RSFs seen in eukaryotic genomes also reflect a generally higher level of repetitiveness independent of genome size differences. Differences in genome size are responsible for about 10% of the variance in RSF seen between species. The spectrum of SSMs seen within a genome differed markedly within the eubacteria but less so in eukaryotes and, particularly, in archaea. Species with SSM spectra that differ from the norm tend also to have high RSFs for their genome size and to be pathogens that make use of repetitive sequences to avoid host defence responses. Some of the variance in repetitiveness seen in other species may therefore also reflect the action of selection, although other forces such as variation in the effectiveness of mechanisms for regulating slippage errors of replication, may also be important.

Animals↗

PubMed2003

Effects of caffeine and chlorogenic acid on propidium iodide accessibility to DNA: consequences on genome size evaluation in coffee tree.

Estimates of genome size using flow cytometry can be biased by the presence of cytosolic compounds, leading to pseudo-intraspecific variation in genome size. Two important compounds present in coffee trees-caffeine and chlorogenic acid-modify accessibility of the dye propidium iodide to Petunia DNA, a species used as internal standard in our genome size evaluation. These compounds could be responsible for intraspecific variation in genome size since their contents vary between trees. They could also be implicated in environmental variations in genome size, such as those revealed when comparing the results of evaluations carried out on different dates on several genotypes.

Caffeine↗

PubMed2004

Evolution of genome size in pines (Pinus) and its life-history correlates: supertree analyses.

Genome size has been suggested to be a fundamental biological attribute in determining life-history traits in many groups of organisms. We examined the relationships between pine genome sizes and pine phylogeny, environmental factors (latitude, elevation, annual rainfall), and biological traits (latitudinal and elevational ranges, seed mass, minimum generation time, interval between large seed crops, seed dispersal mode, relative growth rate, measures of potential and actual invasiveness, and level of rarity). Genome sizes were determined for 60 pine taxa and then combined with published values to make a dataset encompassing 85 species, or 70% of species in the genus. Supertrees were constructed using 20 published source phylogenies. Ancestral genome size was estimated as 32 pg. Genome size has apparently remained stable or increased over evolutionary time in subgenus Strobus, while it has decreased in most subsections in subgenus Pinus. We analyzed relationships between genome size and life-history variables using cross-species correlations and phylogenetically independent contrasts derived from supertree constructions. The generally assumed positive relation between genome size and minimum generation time could not be confirmed in phylogenetically controlled analyses. We found that the strongest correlation was between genome size and seed mass. Because the growth quantities specific leaf area and leaf area ratio (and to a lesser extent relative growth rate) are strongly negatively related to seed mass, they were also negatively correlated with genome size. Northern latitudinal limit was negatively correlated with genome size. Invasiveness, particularly of wind-dispersed species, was negatively associated with both genome size and seed mass. Seed mass and its relationships with seed number, dispersal mode, and growth rate contribute greatly to the differences in life-history strategies of pines. Many life-history patterns are therefore indirectly, but consistently, associated with genome size.

Analysis of Variance↗

PubMed2006

Eukaryotic genome size databases.

Three independent databases of eukaryotic genome size information have been launched or re-released in updated form since 2005: the Plant DNA C-values Database (www.kew.org/genomesize/homepage.html), the Animal Genome Size Database (www.genomesize.com) and the Fungal Genome Size Database (www.zbi.ee/fungal-genomesize/). In total, these databases provide freely accessible genome size data for >10,000 species of eukaryotes assembled from more than 50 years' worth of literature. Such data are of significant importance to the genomics and broader scientific community as fundamental features of genome structure, for genomics-based comparative biodiversity studies, and as direct estimators of the cost of complete sequencing programs.

Animals↗

PubMed2004

Incongruent patterns of local and global genome size evolution in cotton.

Genome sizes in plants vary over several orders of magnitude, reflecting a combination of differentially acting local and global forces such as biases in indel accumulation and transposable element proliferation or removal. To gain insight into the relative role of these and other forces, approximately 105 kb of contiguous sequence surrounding the cellulose synthase gene CesA1 was compared for the two coresident genomes (AT and DT) of the allopolyploid cotton species, Gossypium hirsutum. These two genomes differ approximately twofold in size, having diverged from a common ancestor approximately 5-10 million years ago (Mya) and been reunited in the same nucleus at the time of polyploid formation, approximately 1-2 Mya. Gene content, order, and spacing are largely conserved between the two genomes, although a few transposable elements and a single cpDNA fragment distinguish the two homoeologs. Sequence conservation is high in both intergenic and genic regions, with 14 conserved genes detected in both genomes yielding a density of 1 gene every 7.5 kb. In contrast to the twofold overall difference in DNA content, no disparity in size was observed for this 105-kb region, and 555 indels were detected that distinguish the two homoeologous BACs, approximately equally distributed between AT and DT in number and aggregate size. The data demonstrate that genome size evolution at this phylogenetic scale is not primarily caused by mechanisms that operate uniformly across different genomic regions and components; instead, the twofold overall difference in DNA content must reflect locally operating forces between gene islands or in largely gene-free regions.

Base Sequence↗

PubMed2005

Genome size evolution in New Zealand triplefin fishes.

The genome sizes of 18 species of New Zealand triplefin fishes (family Tripterygiidae) were determined by flow cytometry of erythrocytes. The evolutionary relationships of these species were examined with a molecular phylogeny derived from DNA sequence data based on 1771 base pairs from fragments of three mitochondrial loci (12S and 16S ribosomal RNA, and the control region) and one nuclear locus (ETS2). Haploid genome sizes ranged from .85 pg (1C) to 1.28 pg with a mean of 1.15 +/- .01pg. Genome size appeared to be highly plastic, with up to 20% variation occurring within genera and a 50% difference in size between the smallest and the largest genome. No evidence was found to indicate polyploidy as a mechanism for speciation in New Zealand triplefins. Factors suggested to influence genome sizes of other organisms, such as morphological complexity, neoteny, and longevity, do not appear to be associated with shifts in the genome sizes of New Zealand triplefins.

Animals↗

PubMed1996

Genome size in bacteria.

This manuscript examines genome size in bacteria. The opposing capability of bacteria to alter their genome sizes and order of genes within limits yet remain somewhat constant provides a mechanisms for diversity and evolution in bacterial populations. Bacteria may have evolved by increasing their genome size and changing gene orders with the assistance of restriction endonucleases cleaving foreign DNA and providing a diverse pool of DNA sequences for recombination. These aspects and selected information on physically mapping bacterial genomes will be discussed.

Chromosome Mapping↗

PubMed2005

Genome size, quantitative genetics and the genomic basis for flower size evolution in Silene latifolia.

BACKGROUND AND AIMS: The overall goal of this paper is to construct an overview of the genetic basis for flower size evolution in Silene latifolia. It aims to examine the relationship between the molecular bases for flower size and the underlying assumption of quantitative genetics theory that quantitative variation is ultimately due to the impact of a number of structural genes. SCOPE: Previous work is reviewed on the quantitative genetics and potential for response to selection on flower size, and the relationship between flower size and nuclear DNA content in S. latifolia. These earlier findings provide a framework within which to consider more recent analyses of a joint quantitative trait loci (QTL) analysis of flower size and DNA content in this species. KEY RESULTS: Flower size is a character that fits the classical quantitative genetics model of inheritance very nicely. However, an earlier finding that flower size is correlated with nuclear DNA content suggested that quantitative aspects of genome composition rather than allelic substitution at structural loci might play a major role in the evolution of flower size. The present results reported here show that QTL for flower size are correlated with QTL for DNA content, further corroborating an earlier result and providing additional support for the conclusion that localized variations in DNA content underlie evolutionary changes in flower size. CONCLUSIONS: The search image for QTL should be broadened to include overall aspects of genome regulation. As we prepare to enter the much-heralded post-genomic era, we also need to revisit our overall models of the relationship between genotype and phenotype to encompass aspects of genome structure and composition beyond structural genes.

Biological Evolution↗

PubMed2003

Reptiles: a group of transition in the evolution of genome size and of the nucleotypic effect.

A comparison between genome size and some phenotypic parameters, such as developmental length and metabolic rate, showed in reptiles a nucleotypic correlation similar to the one observed in birds and mammals. Indeed, like homeotherms, reptiles exhibit a highly significant, inverse correlation of genome size with metabolic rate but unlike amphibians, no relationship with developmental length. Several lines of evidence suggest that these nucleotypic correlations are influenced by body temperature, which also affects the guanine + cytosine nuclear percentage, and that they play an important role in the adaptation of these amniotes. However, the reptilian suborders exhibit differences in the quantitative and compositional characters of the genome that do not completely correspond to differences in the phenotypic parameters commonly involved in the nucleotypic effect. Thus, additional factors could have influenced genome size in this class. These data could be explained with the model of Hartl and Petrov, who observed an inverse correlation between genome size, non-coding portion of the genome and rate of DNA loss and hypothesized a strong role for different spectra of spontaneous insertions and deletions (indels) in the variations of genome size. It is thus reasonable to surmise that variations in the reptilian genome were initially influenced by different indels spectra typical of the diverse lineages, possibly related to different chromosome compartmentalizations. The consequent size increases or decreases would have influenced various morphological and functional cell parameters, and through these some phenotypic characteristics of the whole organism, especially the metabolic rate, very important for environmental adaptation and thus subject to natural selection. Through this "nucleotypic" bond, natural selection would also have controlled genome size variations.

Adaptation, Physiological↗

PubMed2004

Flow cytometric analysis of genome size variation in some Passiflora species.

Nuclear genome size variation was studied in eight taxa of Passiflora. Nuclear DNA content was estimated by flow cytometry of nuclei stained by propidium iodide. 2C DNA content ranged from 3.16-5.36 pg for diploids and 1.83 pg for tetraploid. Differences in nuclear genome size were observed among Passiflora species (pg): P. suberosa 1.83, P. edulis f. edulis 3.16, P. edulis f. flavicarpa (Brazil) 3.19, P. edulis f. flavicarpa (Mexico) 3.21, P. mucronata 3.40, Passiflora edmundoi 3.43, P. laurifolia 3.88, P. giberti 3.92, P. quadrangularis 5.36, the largest value being up to 192% greater than the smallest. The means of 2C DNA content were compared by the Tukey test, and the differences in genome size permitted the recognition of five taxa groups. The result was the same for the means 2C genome size (Mbp) values. The genetic parameters were studied with their respective estimators, phenotypic variance (sigma2F), genotypic variability (PhiG), and the genotypic determination index (H2). The genotypic determination index presented high magnitude estimates (greater than 99%) emphasizing the reliability of the results and demonstrating the efficiency of determining the DNA content in the species using only one leaf per plant. Passiflora species show great phenotypic variability and have different geographic distribution that might implicate in genetic diversity.

Brazil↗

PubMed2005

Is genome size influenced by colonization of new environments in dipteran species?

Genome size differences are usually attributed to the amplification and deletion of various repeated DNA sequences, including transposable elements (TEs). Because environmental changes may promote modifications in the amount of these repeated sequences, it has been postulated that when a species colonizes new environments this could be followed by an increase in its genome size. We tested this hypothesis by estimating the genome size of geographically distinct populations of Drosophila ananassae, Drosophila malerkotliana, Drosophila melanogaster, Drosophila simulans, Drosophila subobscura, and Zaprionus indianus, all of which have known colonization capacities. There was no strong statistical differences between continents for most species. However, we found that populations of D. melanogaster from east Africa have smaller genomes than more recent populations. For species in which colonization is a recent event, the differences between genome sizes do not thus seem to be related to colonization history. These findings suggest either that genome size is seldom modified in a significant way during colonization or that it takes time for genome size of invading species to change significantly.

Analysis of Variance↗