scholarly journals Improved transcriptome sampling pinpoints 26 paleopolyploidy events in Caryophyllales, including two paleo-allopolyploidy events

2017 ◽  
Author(s):  
Ya Yang ◽  
Michael J. Moore ◽  
Samuel F. Brockington ◽  
Jessica Mikenas ◽  
Julia Olivieri ◽  
...  
Keyword(s):  
Tree Of Life ◽  
List Type ◽  
Gene Duplications ◽  
Transcriptome Data ◽  
Phylogenetic Distribution ◽  
Homology Inference ◽  
Genomic Scale ◽  
Phylogenomic Analyses ◽  
Inference Methods ◽  
Incomplete Sampling

SummaryStudies of the macroevolutionary legacy of paleopolyploidy are limited by an incomplete sampling of these events across the tree of life. To better locate and understand these events, we need comprehensive taxonomic sampling as well as homology inference methods that accurately reconstruct the frequency and location of gene duplications.We assembled a dataset of transcriptomes and genomes from 169 species in Caryophyllales, of which 43 were newly generated for this study, representing one of the densest sampled genomic-scale datasets yet available. We carried out phylogenomic analyses using a modified phylome strategy to reconstruct the species tree. We mapped phylogenetic distribution of paleopolyploidy events by both tree-based and distance-based methods, and explicitly tested scenarios for paleo-allopolyploidy.We identified twenty-six paleopolyploidy events distributed throughout Caryophyllales, and using novel techniques inferred two to be paleo-allopolyploidy.Through dense phylogenomic sampling, we show the propensity of paleo-polyploidy in the clade Caryophyllales. We also provide the first method for utilizing transcriptome data to detect paleo-allopolyploidy, which is important as it may have different macro-evolutionary implications compared to paleo-autopolyploidy.

scholarly journals Phylogenomic Analyses Of 2,786 Genes In 158 Lineages Support a Root of The Eukaryotic Tree of Life Between Opisthokonts (Animals, Fungi and Their Microbial Relatives) and All Other Lineages

2021 ◽  
Author(s):  
Mario A Ceron Romero ◽  
Miguel M Fonseca ◽  
Leonardo de Oliveira Martins ◽  
David Posada ◽  
Laura A Katz
Keyword(s):  
Tree Species ◽  
High Throughput Sequencing ◽  
Single Gene ◽  
Gene Tree ◽  
Gene Families ◽  
Species Tree ◽  
Tree Of Life ◽  
Gene Duplications ◽  
Tree Reconciliation ◽  
Phylogenomic Analyses

Advances in phylogenetics and high throughput sequencing have allowed the reconstruction of deep phylogenetic relationships in the evolution of eukaryotes. Yet, the root of the eukaryotic tree of life remains elusive. The most popular hypothesis in textbooks and reviews is a root between Unikonta (Opisthokonta + Amoebozoa) and Bikonta (all other eukaryotes), which emerged from analyses of a single gene fusion. Subsequent highly cited studies based on concatenation of genes supported this hypothesis with some variations or proposed a root within Excavata. However, concatenation of genes neither considers phylogenetically informative events (i.e. gene duplications and losses), nor provides an estimate of the root. A more recent study using gene tree / species tree reconciliation methods suggested the root lies between Opisthokonta and all other eukaryotes, but only including 59 taxa and 20 genes. Here we apply a gene tree / species tree reconciliation approach to a gene-rich and taxon rich dataset (i.e. 2,786 gene families from two sets of 158 diverse eukaryotic lineages) to assess the root, and we iterate each analysis 100 times to quantify tree space uncertainty. We estimate a root between Fungi and all other eukaryotes, or between Opisthokonta and all other eukaryotes, and reject alternative roots from the literature. Based on further analysis of genome size we propose Opisthokonta + others as the most likely root.

scholarly journals Ancestral gene duplications in mosses characterized by integrated phylogenomic analyses

2020 ◽  
Author(s):  
Bei Gao ◽  
Mo‐Xian Chen ◽  
Xiao‐Shuang Li ◽  
Yu‐Qing Liang ◽  
Dao‐Yuan Zhang ◽  
...  
Keyword(s):  
Gene Duplications ◽  
Ancestral Gene ◽  
Phylogenomic Analyses

scholarly journals New Phylogenomic Analysis of the Enigmatic Phylum Telonemia Further Resolves the Eukaryote Tree of Life

2019 ◽  
Vol 36 (4) ◽  
pp. 757-765 ◽  
Author(s):  
Jürgen F H Strassert ◽  
Mahwash Jamy ◽  
Alexander P Mylnikov ◽  
Denis V Tikhonenkov ◽  
Fabien Burki
Keyword(s):  
Phylogenetic Signal ◽  
Evolutionary Origin ◽  
Phylogenetic Position ◽  
Aquatic Environments ◽  
Phylogenomic Analysis ◽  
Data Sets ◽  
Transcriptome Data ◽  
Phylogenetic Reconstructions ◽  
Phylogenomic Analyses ◽  
Alignment Length

AbstractThe resolution of the broad-scale tree of eukaryotes is constantly improving, but the evolutionary origin of several major groups remains unknown. Resolving the phylogenetic position of these “orphan” groups is important, especially those that originated early in evolution, because they represent missing evolutionary links between established groups. Telonemia is one such orphan taxon for which little is known. The group is composed of molecularly diverse biflagellated protists, often prevalent although not abundant in aquatic environments. Telonemia has been hypothesized to represent a deeply diverging eukaryotic phylum but no consensus exists as to where it is placed in the tree. Here, we established cultures and report the phylogenomic analyses of three new transcriptome data sets for divergent telonemid lineages. All our phylogenetic reconstructions, based on 248 genes and using site-heterogeneous mixture models, robustly resolve the evolutionary origin of Telonemia as sister to the Sar supergroup. This grouping remains well supported when as few as 60% of the genes are randomly subsampled, thus is not sensitive to the sets of genes used but requires a minimal alignment length to recover enough phylogenetic signal. Telonemia occupies a crucial position in the tree to examine the origin of Sar, one of the most lineage-rich eukaryote supergroups. We propose the moniker “TSAR” to accommodate this new mega-assemblage in the phylogeny of eukaryotes.

Ancient gene duplications and the root(s) of the tree of life

PROTOPLASMA ◽  
2005 ◽  
Vol 227 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Olga Zhaxybayeva ◽  
Pascal Lapierre ◽  
J. Peter Gogarten
Keyword(s):  
Tree Of Life ◽  
Gene Duplications ◽  
Ancient Gene

scholarly journals The unresolved phylogenomic tree of butterflies and moths (Lepidoptera): assessing the potential causes and consequences

2021 ◽  
Author(s):  
Jadranka Rota ◽  
Victoria Gwendoline Twort ◽  
Andrea Chiocchio ◽  
Carlos Pena ◽  
Christopher W. Wheat ◽  
...  
Keyword(s):  
Amino Acid ◽  
Molecular Phylogenetics ◽  
Phylogenetic Signal ◽  
Tree Of Life ◽  
Amino Acid Sequences ◽  
Model Organisms ◽  
Compositional Bias ◽  
Sequencing Technologies ◽  
Phylogenetic Hypotheses ◽  
Phylogenomic Analyses

The field of molecular phylogenetics is being revolutionised with next-generation sequencing technologies making it possible to sequence large numbers of genomes for non-model organisms ushering us into the era of phylogenomics. The current challenge is no longer how to get enough data, but rather how to analyse the data and how to assess the support for the inferred phylogeny. We focus on one of the largest animal groups on the planet - butterflies and moths (order Lepidoptera). We clearly demonstrate that there are unresolved issues in the inferred phylogenetic relationships of the major lineages, despite several recent phylogenomic studies of the group. We assess the potential causes and consequences of the conflicting phylogenetic hypotheses. With a dataset consisting of 331 protein-coding genes and the alignment length over 290 000 base pairs, including 200 taxa representing 81% of lepidopteran superfamilies, we compare phylogenetic hypotheses inferred from amino acid and nucleotide alignments. The resulting two phylogenies are discordant, especially with respect to the placement of the superfamily Gelechioidea, which is likely due to compositional bias of both the nucleotide and amino acid sequences. With a series of analyses, we dissect our dataset and demonstrate that there is sufficient phylogenetic signal to resolve much of the lepidopteran tree of life. Overall, the results from the nucleotide alignment are more robust to the various perturbations of the data that we carried out. However, the lack of support for much of the backbone within Ditrysia makes the current butterfly and moth tree of life still unresolved. We conclude that taxon sampling remains an issue even in phylogenomic analyses, and recommend that poorly sampled highly diverse groups, such as Gelechioidea in Lepidoptera, should receive extra attention in the future.

scholarly journals The aphelid-like phagotrophic origins of fungi

2017 ◽  
Author(s):  
Guifre Torruella ◽  
Xavier Grau-Bove ◽  
David Moreira ◽  
Sergey A Karpov ◽  
John Burns ◽  
...  
Keyword(s):  
Cell Wall ◽  
Metabolic Pathways ◽  
Phylogenetic Analyses ◽  
Algal Cell ◽  
Rrna Genes ◽  
Transcriptome Data ◽  
Free Living ◽  
Statistical Support ◽  
Phylogenomic Analyses ◽  
Protein Datasets

Aphelids are poorly known phagotrophic parasites of algae whose life cycle and morphology resemble those of the widely diverse parasitic rozellids (Cryptomycota, Rozellomycota). In previous phylogenetic analyses of RNA polymerase and rRNA genes, aphelids and rozellids formed a monophyletic group together with the extremely reduced parasitic Microsporidia, named Opisthosporidia, which was sister to Fungi. However, the statistical support for that group was always moderate. We generated the first transcriptome data for one aphelid species, Paraphelidium tribonemae. In-depth multi-gene phylogenomic analyses using various protein datasets place aphelids as the closest relatives of Fungi to the exclusion of rozellids and Microsporidia. In contrast with the comparatively reduced Rozella allomycis genome, we infer a rich, free-living-like aphelid proteome, including cellulases likely involved in algal cell-wall penetration, enzymes involved in chitin biosynthesis and several metabolic pathways. Our results suggest that Fungi evolved from a complex aphelid-like ancestor that lost phagotrophy and became osmotrophic.

scholarly journals Why do phylogenomic analyses of early animal evolution continue to disagree? Sites in different structural environments yield different answers

2018 ◽  
Author(s):  
Akanksha Pandey ◽  
Edward L. Braun
Keyword(s):  
Solvent Accessibility ◽  
Phylogenetic Signal ◽  
Tree Of Life ◽  
Striking Difference ◽  
Relative Solvent Accessibility ◽  
Animal Evolution ◽  
Phylogenomic Analyses ◽  
Cat Model ◽  
Protein Datasets ◽  
Genome Scale

AbstractPhylogenomics has revolutionized the study of evolutionary relationships. However, genome-scale data have not been able to resolve all relationships in the tree of life. This could reflect the poor-fit of the models used to analyze heterogeneous datasets; that heterogeneity is likely to have many explanations. However, it seems reasonable to hypothesize that the different patterns of selection on proteins based on their structures might represent a source of heterogeneity. To test that hypothesis, we developed an efficient pipeline to divide phylogenomic datasets that comprise proteins into subsets based on secondary structure and relative solvent accessibility. We then tested whether amino acids in different structural environments had different signals for the deepest branches in the metazoan tree of life. Sites located in different structural environments did support distinct tree topologies. The most striking difference in phylogenetic signal reflected relative solvent accessibility; analyses of sites on the surface of proteins yielded a tree that placed ctenophores sister to all other animals whereas sites buried inside proteins yielded a tree with a sponge-ctenophore clade. These differences in phylogenetic signal were not ameliorated when we repeated our analyses using the site-heterogeneous CAT model, a mixture model that is often used for analyses of protein datasets. In fact, analyses using the CAT model actually resulted in rearrangements that are unlikely to represent evolutionary history. These results provide striking evidence that it will be necessary to achieve a better understanding the constraints due to protein structure to improve phylogenetic estimation.

scholarly journals Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi

2021 ◽  
Vol 7 (9) ◽  
Author(s):  
Darcy A. B. Jones ◽  
Paula M. Moolhuijzen ◽  
James K. Hane
Keyword(s):  
Fungal Pathogens ◽  
Pathogenic Fungi ◽  
Comparison Method ◽  
Fungal Species ◽  
Effector Proteins ◽  
Plant Diseases ◽  
Plant Host ◽  
Homology Inference ◽  
Developing Area ◽  
Inference Methods

Plant diseases caused by fungal pathogens are typically initiated by molecular interactions between ‘effector’ molecules released by a pathogen and receptor molecules on or within the plant host cell. In many cases these effector-receptor interactions directly determine host resistance or susceptibility. The search for fungal effector proteins is a developing area in fungal-plant pathology, with more than 165 distinct confirmed fungal effector proteins in the public domain. For a small number of these, novel effectors can be rapidly discovered across multiple fungal species through the identification of known effector homologues. However, many have no detectable homology by standard sequence-based search methods. This study employs a novel comparison method (RemEff) that is capable of identifying protein families with greater sensitivity than traditional homology-inference methods, leveraging a growing pool of confirmed fungal effector data to enable the prediction of novel fungal effector candidates by protein family association. Resources relating to the RemEff method and data used in this study are available from https://figshare.com/projects/Effector_protein_remote_homology/87965.

scholarly journals Physcraper: a python package for continual update of evolutionary estimates using the Open Tree of Life

2020 ◽  
Author(s):  
Luna L. Sanchez Reyes ◽  
Martha Kandziora ◽  
Emily Jane McTavish
Keyword(s):  
Dna Sequences ◽  
Phylogenetic Reconstruction ◽  
Open Science ◽  
Tree Of Life ◽  
List Type ◽  
Matrix Assembly ◽  
Life Project ◽  
Character Matrix ◽  
Molecular Dataset ◽  
Phylogenetic Hypotheses

AbstractPhylogenies are a key part of research in many areas of biology. Tools that automate some parts of the process of phylogenetic reconstruction, mainly molecular character matrix assembly, have been developed for the advantage of both specialists in the field of phylogenetics and nonspecialists. However, interpretation of results, comparison with previously available phylogenetic hypotheses, and selection of one phylogeny for downstream analyses and discussion still impose difficulties to one that is not a specialist either on phylogenetic methods or on a particular group of study.Physcraper is a command-line Python program that automates the update of published phylogenies by adding public DNA sequences to underlying alignments of previously published phylogenies. It also provides a framework for straightforward comparison of published phylogenies with their updated versions, by leveraging upon tools from the Open Tree of Life project to link taxonomic information across databases.Physcraper can be used by the nonspecialist, as a tool to generate phylogenetic hypotheses based on publicly available expert phylogenetic knowledge. Phylogeneticists and taxonomic group specialists will find it useful as a tool to facilitate molecular dataset gathering and comparison of alternative phylogenetic hypotheses (topologies).The Physcraper workflow demonstrates the benefits of doing open science for phylogenetics, encour-aging researchers to strive for better sharing practices. Physcraper can be used with any OS and is released under an open-source license. Detailed instructions for installation and use are available at https://physcraper.readthedocs.

scholarly journals A Burst of Genetic Innovation in Drosophila Actin-Related Proteins for Testis-Specific Function

2019 ◽  
Vol 37 (3) ◽  
pp. 757-772
Author(s):  
Courtney M Schroeder ◽  
John R Valenzuela ◽  
Isabel Mejia Natividad ◽  
Glen M Hocky ◽  
Harmit S Malik
Keyword(s):  
Positive Selection ◽  
Male Meiosis ◽  
Cytoskeletal Proteins ◽  
Gene Duplications ◽  
Actin Networks ◽  
Male Germline ◽  
Phylogenomic Analyses ◽  
Sperm Heteromorphism ◽  
Related Proteins ◽  
Obscura Group

Abstract Many cytoskeletal proteins perform fundamental biological processes and are evolutionarily ancient. For example, the superfamily of actin-related proteins (Arps) specialized early in eukaryotic evolution for diverse cellular roles in the cytoplasm and the nucleus. Despite its strict conservation across eukaryotes, we find that the Arp superfamily has undergone dramatic lineage-specific diversification in Drosophila. Our phylogenomic analyses reveal four independent Arp gene duplications that occurred in the common ancestor of the obscura group of Drosophila and have been mostly preserved in this lineage. All four obscura-specific Arp paralogs are predominantly expressed in the male germline and have evolved under positive selection. We focus our analyses on the divergent Arp2D paralog, which arose via a retroduplication event from Arp2, a component of the Arp2/3 complex that polymerizes branched actin networks. Computational modeling analyses suggest that Arp2D can replace Arp2 in the Arp2/3 complex and bind actin monomers. Together with the signature of positive selection, our findings suggest that Arp2D may augment Arp2’s functions in the male germline. Indeed, we find that Arp2D is expressed during and following male meiosis, where it localizes to distinct locations such as actin cones—specialized cytoskeletal structures that separate bundled spermatids into individual mature sperm. We hypothesize that this unprecedented burst of genetic innovation in cytoskeletal proteins may have been driven by the evolution of sperm heteromorphism in the obscura group of Drosophila.

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