Genome Biology and Evolution最新文献

Arthropoda represents the most diverse animal phylum, but clarifying the phylogenetic relationships among arthropod taxa remains challenging given the numerous arthropod lineages that diverged over a short period of time. In order to resolve the most controversial aspects of deep arthropod phylogeny, focusing on the Myriapoda, we conducted phylogenetic analyses based on ten super-matrices comprised of 751 to 1,233 orthologous genes across 64 representative arthropod species, including 28 transcriptomes that were newly generated in this study. Our findings provide unambiguous support for the monophyly of the higher arthropod taxa, Chelicerata, Mandibulata, Myriapoda, Pancrustacea, and Hexapoda, while the Crustacea are paraphyletic, with the class Remipedia supported as the lineage most closely related to hexapods. Within the Hexapoda, our results largely affirm previously proposed phylogenetic relationships among deep hexapod lineages, except that the Paraneoptera (Hemiptera, Thysanoptera, and Psocodea) was recovered as a monophyletic lineage in some analyses. The results corroborated the recently proposed phylogenetic framework of the four myriapod classes, wherein Symphyla and Pauropoda, as well as Chilopoda and Diplopoda, are each proposed to be sister taxa. The findings provide important insights into understanding the phylogeny and evolution of arthropods.

Mitochondrial DNA has been a popular marker in phylogeography, phylogeny, and molecular ecology, but its complex evolution is increasingly recognized. Here, we investigated mitochondrial DNA variation in Anopheles gambiae and Anopheles coluzzii, in relation to other species in the Anopheles gambiae complex, by assembling the mitogenomes of 1,219 mosquitoes across Africa. The mitochondrial DNA phylogeny of the Anopheles gambiae complex was consistent with previously reported highly reticulated evolutionary history, revealing important discordances with the species tree. The three most widespread species (An. gambiae, An. coluzzii, and Anopheles arabiensis), known for extensive historical introgression, could not be discriminated based on mitogenomes. Furthermore, a monophyletic clustering of the three saltwater-tolerant species (Anopheles merus, Anopheles melas, and Anopheles bwambae) in the Anopheles gambiae complex also suggested that introgression and possibly selection shaped mitochondrial DNA evolution. Mitochondrial DNA variation in An. gambiae and An. coluzzii across Africa revealed significant partitioning among populations and species. A peculiar mitochondrial DNA lineage found predominantly in An. coluzzii and in the hybrid taxon of the African "far-west" exhibited divergence comparable to the interspecies divergence in the Anopheles gambiae complex, with a geographic distribution matching closely An. coluzzii's geographic range. This phylogeographic relict of the An. coluzzii and An. gambiae split was associated with population and species structure, but not with the rare Wolbachia occurrence. The lineage was significantly associated with single nucleotide polymorphisms in the nuclear genome, particularly in genes associated with pathogen and insecticide resistance. These findings underline potential mitonuclear coevolution history and the role played by mitochondria in shaping metabolic responses to pathogens and insecticides in Anopheles.

Horizontal gene transfer (HGT) is fundamental to microbial evolution and adaptation. When a gene is horizontally transferred, it may either add itself as a new gene to the recipient genome (possibly displacing nonhomologous genes) or replace an existing homologous gene. Currently, studies do not usually distinguish between "additive" and "replacing" HGTs, and their relative frequencies, integration mechanisms, and specific roles in microbial evolution are poorly understood. In this work, we develop a novel computational framework for large-scale classification of HGTs as either additive or replacing. Our framework leverages recently developed phylogenetic approaches for HGT detection and classifies HGTs inferred between terminal edges based on gene orderings along genomes and phylogenetic relationships between the microbial species under consideration. The resulting method, called DART, is highly customizable and scalable and can classify a large fraction of inferred HGTs with high confidence and statistical support. Our application of DART to a large dataset of thousands of gene families from 103 Aeromonas genomes provides insights into the relative frequencies, functional biases, and integration mechanisms of additive and replacing HGTs. Among other results, we find that (i) the relative frequency of additive HGT increases with increasing phylogenetic distance, (ii) replacing HGT dominates at shorter phylogenetic distances, (iii) additive and replacing HGTs have strikingly different functional profiles, (iv) homologous recombination in flanking regions of a novel gene may be a frequent integration mechanism for additive HGT, and (v) phages and mobile genetic elements likely play an important role in facilitating additive HGT.

The mitochondrial plastid DNAs (MTPTs) in seed plants were reported more than 40 years ago and exhibited a high diversity regarding gene content, quantity, and size. However, the mechanism that resulted in the current diversity of MTPTs in angiosperms has not been fully discovered. In this study, we sequenced and characterized the complete organelle genomes of Limonia acidissima L., a monotypic species of Rutaceae. The newly generated and previously published organelle genomes of 42 species were used to explore the diversity of MTPTs regarding quantity, gene content, size, and coverage of chloroplast genome (cpDNA) regions. The results showed that the number of MTPTs ranged from three to 74, of which the lengths were from 100 to 53,731 bp. The highest coverage of MTPTs was found in the inverted repeat region, whereas the small single repeat region had the lowest coverage. Based on the previous data and current results, we propose a scenario for the diversity of MTPTs in angiosperms. In the first stage, the whole cpDNA might migrate to the mitogenome. Then, different genomic events, such as duplication, deletion, substitution, and inversion, have occurred continuously and independently and resulted in extremely variable profiles of mitogenomes among angiosperms. Our hypothesis provides a new and possibly reliable scenario for explaining the present circumstances of MTPTs in angiosperms. However, more genomic data should be mined, and more studies should be conducted to clarify this natural phenomenon in plants.

Complex plastids, characterized by more than two bounding membranes, still present an evolutionary puzzle for the traditional endosymbiotic theory. Unlike primary plastids that directly evolved from cyanobacteria, complex plastids originated from green or red algae. The Chromalveolata hypothesis proposes a single red alga endosymbiosis that involved the ancestor of all the Chromalveolata lineages: cryptophytes, haptophytes, stramenopiles, and alveolates. As extensive phylogenetic analyses contradict the monophyly of Chromalveolata, serial plastid endosymbiosis models were proposed, suggesting a single secondary red alga endosymbiosis within Cryptophyta, followed by subsequent plastid transfers to other chromalveolates. Our findings based on 97 plastid-encoded markers, 112 species, and robust phylogenetic methods challenge all the existing models. They reveal two independent secondary endosymbioses, one within Cryptophyta and one within stramenopiles, precisely the phylum Ochrophyta, with two different groups of red algae. Consequently, we propose a new model for the emergence of red alga plastid-containing lineages and, through molecular clock analyses, estimate their ages.

Relaxing the molecular clock using models of how substitution rates change across lineages has become essential for addressing evolutionary problems. The diversity of rate evolution models and their implementations are substantial, and studies have demonstrated their impact on divergence time estimates can be as significant as that of calibration information. In this review, we trace the development of rate evolution models from the proposal of the molecular clock concept to the development of sophisticated Bayesian and non-Bayesian methods that handle rate variation in phylogenies. We discuss the various approaches to modeling rate evolution, provide a comprehensive list of available software, and examine the challenges and advancements of the prevalent Bayesian framework, contrasting them to faster non-Bayesian methods. Lastly, we offer insights into potential advancements in the field in the era of big data.

Sequencing the mitochondrial genome of the tunicate Oikopleura dioica is a challenging task due to the presence of long poly-A/T homopolymer stretches, which impair sequencing and assembly. Here, we report on the sequencing and annotation of the majority of the mitochondrial genome of O. dioica by means of combining several DNA and amplicon reads obtained by Illumina and MinIon Oxford Nanopore Technologies with public RNA sequences. We document extensive RNA editing, since all homopolymer stretches present in the mitochondrial DNA correspond to 6U-regions in the mitochondrial RNA. Out of the 13 canonical protein-coding genes, we were able to detect eight, plus an unassigned open reading frame that lacked sequence similarity to canonical mitochondrial protein-coding genes. We show that the nad3 gene has been transferred to the nucleus and acquired a mitochondria-targeting signal. In addition to two very short rRNAs, we could only identify a single tRNA (tRNA-Met), suggesting multiple losses of tRNA genes, supported by a corresponding loss of mitochondrial aminoacyl-tRNA synthetases in the nuclear genome. Based on the eight canonical protein-coding genes identified, we reconstructed maximum likelihood and Bayesian phylogenetic trees and inferred an extreme evolutionary rate of this mitochondrial genome. The phylogenetic position of appendicularians among tunicates, however, could not be accurately determined.

Understanding the combined effects of environmental heterogeneity and evolutionary processes on marine populations is a primary goal of seascape genomic approaches. Here, we utilized genomic approaches to identify local adaptation signatures in Littoraria flava, a widely distributed marine gastropod in the tropical West Atlantic population. We also performed molecular evolution analyses to investigate potential selective signals across the genome. After obtaining 6,298 and 16,137 single nucleotide polymorphisms derived from genotyping-by-sequencing and RNA sequencing, respectively, 69 from genotyping-by-sequencing (85 specimens) and four from RNA sequencing (40 specimens) candidate single nucleotide polymorphisms were selected and further evaluated. The correlation analyses support different evolutionary pressures over transcribed and non-transcribed regions. Thus, single nucleotide polymorphisms within transcribed regions could account for the genotypic and possibly phenotypic divergences in periwinkles. Our molecular evolution tests based on synonymous and non-synonymous ratio (kN/kS) showed that genotype divergences containing putative adaptive single nucleotide polymorphisms arose mainly from synonymous and/or UTR substitutions rather than polymorphic proteins. The distribution of genotypes across different localities seems to be influenced by marine currents, pH, and temperature variations, suggesting that these factors may impact the species dispersion. The combination of RNA sequencing and genotyping-by-sequencing derived datasets provides a deeper understanding of the molecular mechanisms underlying selective forces responses on distinct genomic regions and could guide further investigations on seascape genomics for non-model species.

A thorough understanding of adaptation and speciation requires model organisms with both a history of ecological and phenotypic study as well as a complete set of genomic resources. In particular, high-quality genome assemblies of ecological model organisms are needed to assess the evolution of genome structure and its role in adaptation and speciation. Here, we generate new genomes of cactophilic Drosophila, a crucial model clade for understanding speciation and ecological adaptation in xeric environments. We generated chromosome-level genome assemblies and complete annotations for seven populations across Drosophila mojavensis, Drosophila arizonae, and Drosophila navojoa. We use these data first to establish the most robust phylogeny for this clade to date, and to assess patterns of molecular evolution across the phylogeny, showing concordance with a priori hypotheses regarding adaptive genes in this system. We then show that structural evolution occurs at constant rate across the phylogeny, varies by chromosome, and is correlated with molecular evolution. These results advance the understanding of the D. mojavensis clade by demonstrating core evolutionary genetic patterns and integrating those patterns to generate new gene-level hypotheses regarding adaptation. Our data are presented in a new public database (cactusflybase.arizona.edu), providing one of the most in-depth resources for the analysis of inter- and intraspecific evolutionary genomic data. Furthermore, we anticipate that the patterns of structural evolution identified here will serve as a baseline for future comparative studies to identify the factors that influence the evolution of genome structure across taxa.