Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Feb;6(2):451-65.
doi: 10.1093/gbe/evu028.

High variability of mitochondrial gene order among fungi

Affiliations

High variability of mitochondrial gene order among fungi

Gabriela Aguileta et al. Genome Biol Evol. 2014 Feb.

Abstract

From their origin as an early alpha proteobacterial endosymbiont to their current state as cellular organelles, large-scale genomic reorganization has taken place in the mitochondria of all main eukaryotic lineages. So far, most studies have focused on plant and animal mitochondrial (mt) genomes (mtDNA), but fungi provide new opportunities to study highly differentiated mtDNAs. Here, we analyzed 38 complete fungal mt genomes to investigate the evolution of mtDNA gene order among fungi. In particular, we looked for evidence of nonhomologous intrachromosomal recombination and investigated the dynamics of gene rearrangements. We investigated the effect that introns, intronic open reading frames (ORFs), and repeats may have on gene order. Additionally, we asked whether the distribution of transfer RNAs (tRNAs) evolves independently to that of mt protein-coding genes. We found that fungal mt genomes display remarkable variation between and within the major fungal phyla in terms of gene order, genome size, composition of intergenic regions, and presence of repeats, introns, and associated ORFs. Our results support previous evidence for the presence of mt recombination in all fungal phyla, a process conspicuously lacking in most Metazoa. Overall, the patterns of rearrangements may be explained by the combined influences of recombination (i.e., most likely nonhomologous and intrachromosomal), accumulated repeats, especially at intergenic regions, and to a lesser extent, mobile element dynamics.

Keywords: Basidiomycota; basal fungi; endosymbiosis; fungal phylogeny; genome size reduction; rearrangement rates; sordariomycetes.

PubMed Disclaimer

Figures

F<sc>ig</sc>. 1.—
Fig. 1.—
ML phylogeny of our sampled taxa including the 38 species in the dikarya data set. The gene tree was inferred from a concatenated alignment of 14 single-copy orthologous genes (atp6, atp8, atp9, nad1–nad6, nad4L, cob, and cox1–cox3). RAxML v.7.2.6 (Stamatakis 2006) was used assuming the LG substitution matrix and default parameters. On the right side of each taxon name is a series of colored boxes representing the mt gene order according to GenBank annotation. Bootstrap support appears next to each node. bsGOL values are shown next to each species name, and they are estimated by minimizing the following expression: L = ∑(∑bi,jxj – GOLi)2, where bi,j is a Boolean variable that specifies the branches that are relevant for the estimation of a particular bsGOL (i.e., 0 if it is not relevant and 1 if it is), xj is obtained by minimizing L and is the actual bsGOL value, and GOLi are the estimatedvalues from the pairwise comparisons, in other words, GOLi = 1 − GOCi (see Fischer et al. 2006 for more details). Significant tRNA clustering was found in species marked with a spiral. This figure was made using the ETE python environment for tree exploration (Huerta-Cepas et al. 2010).
F<sc>ig</sc>. 2.—
Fig. 2.—
GOC between pairs of genomes of the dikarya data set as a function of their phylogenetic (patristic) distance. Distances were estimated using the estimated branch lengths in figure 3, listed in table 2. Models are fitted by nonlinear regression. Model 0: GOC = 2/1+eαt. Model 1: GOC = 1 – √αt. Model 2: 1/GOC = αt + 1. Model 3: GOC = pt, where parameter α is adjusted by regression and t is the patristic distance between the two compared taxa.
F<sc>ig</sc>. 3.—
Fig. 3.—
Pearson’s correlation between bsGOC values and branch lengths (R = 0.7, P value < 0.0005) for the dikarya data set.
F<sc>ig</sc>. 4.—
Fig. 4.—
Pairwise GOC values as a function of the phylogenetic (patristic) distance between them, for the dikarya data set. Here, we conducted a randomization test as follows: for each genome, we listed the order of genes, made all possible pairwise comparisons of these lists, estimated the GOC score (Rocha 2006), shuffled randomly the gene order, and estimated a new GOC value. We obtained 100,000 reshufflings and compared the original GOC to the distribution of the shuffled GOCs. We applied the Bonferroni correction for multiple testing and determined the significance (P values) of the comparisons. The red dots represent significant P values, which correspond to the group of sordariomycetes (in fig. 1, the clade grouping Chaetomium thermophilum, Podospora anserina, Gibberella zeae, F. oxysporum, Lecanicillium muscarium, Cordyceps bassiana, Beauveria bassiana, and Metarhizium anisopliae).

Similar articles

Cited by

References

    1. Adams KL, Palmer JD. Evolution of mitochondrial gene content: gene loss and transfer to the nucleus. Mol Phylogenet Evol. 2003;29:380–395. - PubMed
    1. Al-Reedy RM, Malireddy R, Dillman CB, Kennell JC. Comparative analysis of Fusarium mitochondrial genomes reveals a highly variable region that encodes an exceptionally large open reading frame. Fungal Genet Biol. 2012;49:2–14. - PubMed
    1. Amlacher S, et al. Insight into structure and assembly of the nuclear pore complex by utilizing the genome of a eukaryotic thermophile. Cell. 2011;146:277–289. - PubMed
    1. Barr CM, Neiman M, Taylor DR. Inheritance and recombination of mitochondrial genomes in plants, fungi and animals. New Phytol. 2005;168:39–50. - PubMed
    1. Bartelli TF, Ferreira RC, Colombo AL, Briones MRS. Intraspecific comparative genomics of Candida albicans mitochondria reveals non-coding regions under neutral evolution. Infect Genet Evol. 2013;14:302–312. - PubMed

Publication types