Phylogeny analysis from gene-order data with massive duplications

Genomic and Transcriptomic Insights into the Evolution of C4 Photosynthesis in Grasses

C4 photosynthesis has independently evolved over 62 times within 19 angiosperm families. The recurrent evolution of C4 photosynthesis appears to contradict the complex anatomical and biochemical modifications required for the transition from C3 to C4 photosynthesis. In this study, we conducted an integrated analysis of genomics and transcriptomics to elucidate the molecular underpinnings of convergent C4 evolution in the grass family. Our genome-wide exploration of C4-related gene families suggests that the expansion of these gene families may have played an important role in facilitating C4 evolution in the grass family. A phylogenomic synteny network analysis uncovered the emergence of C4 genes in various C4 grass lineages from a common ancestral gene pool. Moreover, through a comparison between non-C4 and C4  PEPCs, we pinpointed 14 amino acid sites exhibiting parallel adaptations. These adaptations, occurring post the BEP-PACMAD divergence, shed light on why all C4 origins in grasses are confined to the PACMAD clade. Furthermore, our study revealed that the ancestor of Chloridoideae grasses possessed a more favorable molecular preadaptation for C4 functions compared to the ancestor of Panicoideae grasses. This molecular preadaptation potentially explains why C4 photosynthesis evolved earlier in Chloridoideae than in Panicoideae and why the C3-to-C4 transition occurred once in Chloridoideae but multiple times in Panicoideae. Additionally, we found that C4 genes share similar cis-elements across independent C4 lineages. Notably, NAD-ME subtype grasses may have retained the ancestral regulatory machinery of the C4  NADP-ME gene, while NADP-ME subtype grasses might have undergone unique cis-element modifications.

Whole-genome microsynteny-based phylogeny of angiosperms

Plant genomes vary greatly in size, organization, and architecture. Such structural differences may be highly relevant for inference of genome evolution dynamics and phylogeny. Indeed, microsynteny-the conservation of local gene content and order-is recognized as a valuable source of phylogenetic information, but its use for the inference of large phylogenies has been limited. Here, by combining synteny network analysis, matrix representation, and maximum likelihood phylogenetic inference, we provide a way to reconstruct phylogenies based on microsynteny information. Both simulations and use of empirical data sets show our method to be accurate, consistent, and widely applicable. As an example, we focus on the analysis of a large-scale whole-genome data set for angiosperms, including more than 120 available high-quality genomes, representing more than 50 different plant families and 30 orders. Our 'microsynteny-based' tree is largely congruent with phylogenies proposed based on more traditional sequence alignment-based methods and current phylogenetic classifications but differs for some long-contested and controversial relationships. For instance, our synteny-based tree finds Vitales as early diverging eudicots, Saxifragales within superasterids, and magnoliids as sister to monocots. We discuss how synteny-based phylogenetic inference can complement traditional methods and could provide additional insights into some long-standing controversial phylogenetic relationships.

The complete mitochondrial genomes of two vent squat lobsters, Munidopsis lauensis and M. verrilli: Novel gene arrangements and phylogenetic implications

Hydrothermal vents are considered as one of the most extremely harsh environments on the Earth. In this study, the complete mitogenomes of hydrothermal vent squat lobsters, Munidopsis lauensis and M. verrilli, were determined through Illumina sequencing and compared with other available mitogenomes of anomurans. The mitogenomes of M. lauensis (17,483 bp) and M. verrilli (17,636 bp) are the largest among all Anomura mitogenomes, while the A+T contents of M. lauensis (62.40%) and M. verrilli (63.99%) are the lowest. The mitogenomes of M. lauensis and M. verrilli display novel gene arrangements, which might be the result of three tandem duplication-random loss (tdrl) events from the ancestral pancrustacean pattern. The mitochondrial gene orders of M. lauensis and M. verrilli shared the most similarities with S. crosnieri. The phylogenetic analyses based on both gene order data and nucleotide sequences (PCGs and rRNAs) revealed that the two species were closely related to Shinkaia crosnieri. Positive selection analysis revealed that eighteen residues in seven genes (atp8, Cytb, nad3, nad4, nad4l, nad5, and nad6) of the hydrothermal vent anomurans were positively selected sites.

Cyanobacterial phylogenetic analysis based on phylogenomics approaches render evolutionary diversification and adaptation: an overview of representative orders

Phylogenetic studies based on a definite set of marker genes usually reconstruct evolutionary relationships among the prokaryotic species. Based on specific target sequences, such studies represent variations and allow identification of similarities or dissimilarities in organisms. With the advent of completely sequenced genomes and accumulation of information on whole prokaryotic genomes, phylogenetic reconstructions should be considered more reliable if they are ideally based on entire genomes to resolve phylogenetic interest. We applied phylogenomics approaches taking into account completely sequenced cyanobacterial genomes to reconstruct underlying species that represented major taxonomic classes and belonged to distinctly different habitats (freshwater, marine, soils, and rocks). We did not rely on describing phylogeny of all representative class of cyanobacterial species on the basis of only ribosomal gene, 16S rDNA gene. In contrast, we analyzed combined molecular marker and phylogenomics approaches (genome alignment, gene content and gene order, composition vector and protein domain content) for accurately inferring phylogenetic relationship of species. We have shown that this approach reflects the impact of evolution on the organisms and considers connects with the ecological adaptation in cyanobacteria in different habitats. Analysis revealed that the members from marine habitat occupy different profile than those from freshwater. Impact of GC content and genomic repetitiveness over the diversification of cyanobacterial species and their possible role in adaptation was also reflected. Members occupying similar habitats cover more evolutionary distance together and also evolve various strategies for adaptation and survival either through genomic repetitiveness or preferences for genes of particular functions or modified GC content. Genomes undergo different changes for their adaptation in diverse habitats.

EDoP Distance Between Sets of Incomplete Permutations: Application to Bacteria Classification Based on Gene Order

In this work, we extend measures of distance between permutations to support incomplete permutations. Modeling and comparing incomplete permutations are a challenging computational problem of practical importance in many applications in bioinformatics and social science. We show that the proposed distance measure admits a closed-form expression and can be efficiently computed on sets of permutations involving several missing elements. We demonstrate the proposed method on the classification of bacteria from different phyla based on gene order.