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Academic literature on the topic 'Marker gene-based phylogenomics tree'
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Journal articles on the topic "Marker gene-based phylogenomics tree"
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Karin, Benjamin R., Tony Gamble, and Todd R. Jackman. "Optimizing Phylogenomics with Rapidly Evolving Long Exons: Comparison with Anchored Hybrid Enrichment and Ultraconserved Elements." Molecular Biology and Evolution 37, no. 3 (2019): 904–22. http://dx.doi.org/10.1093/molbev/msz263.
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Abstract Marker selection has emerged as an important component of phylogenomic study design due to rising concerns of the effects of gene tree estimation error, model misspecification, and data-type differences. Researchers must balance various trade-offs associated with locus length and evolutionary rate among other factors. The most commonly used reduced representation data sets for phylogenomics are ultraconserved elements (UCEs) and Anchored Hybrid Enrichment (AHE). Here, we introduce Rapidly Evolving Long Exon Capture (RELEC), a new set of loci that targets single exons that are both rapidly evolving (evolutionary rate faster than RAG1) and relatively long in length (>1,500 bp), while at the same time avoiding paralogy issues across amniotes. We compare the RELEC data set to UCEs and AHE in squamate reptiles by aligning and analyzing orthologous sequences from 17 squamate genomes, composed of 10 snakes and 7 lizards. The RELEC data set (179 loci) outperforms AHE and UCEs by maximizing per-locus genetic variation while maintaining presence and orthology across a range of evolutionary scales. RELEC markers show higher phylogenetic informativeness than UCE and AHE loci, and RELEC gene trees show greater similarity to the species tree than AHE or UCE gene trees. Furthermore, with fewer loci, RELEC remains computationally tractable for full Bayesian coalescent species tree analyses. We contrast RELEC to and discuss important aspects of comparable methods, and demonstrate how RELEC may be the most effective set of loci for resolving difficult nodes and rapid radiations. We provide several resources for capturing or extracting RELEC loci from other amniote groups.
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Card, Daren C., W. Bryan Jennings, and Scott V. Edwards. "Genome Evolution and the Future of Phylogenomics of Non-Avian Reptiles." Animals 13, no. 3 (2023): 471. http://dx.doi.org/10.3390/ani13030471.
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Non-avian reptiles comprise a large proportion of amniote vertebrate diversity, with squamate reptiles—lizards and snakes—recently overtaking birds as the most species-rich tetrapod radiation. Despite displaying an extraordinary diversity of phenotypic and genomic traits, genomic resources in non-avian reptiles have accumulated more slowly than they have in mammals and birds, the remaining amniotes. Here we review the remarkable natural history of non-avian reptiles, with a focus on the physical traits, genomic characteristics, and sequence compositional patterns that comprise key axes of variation across amniotes. We argue that the high evolutionary diversity of non-avian reptiles can fuel a new generation of whole-genome phylogenomic analyses. A survey of phylogenetic investigations in non-avian reptiles shows that sequence capture-based approaches are the most commonly used, with studies of markers known as ultraconserved elements (UCEs) especially well represented. However, many other types of markers exist and are increasingly being mined from genome assemblies in silico, including some with greater information potential than UCEs for certain investigations. We discuss the importance of high-quality genomic resources and methods for bioinformatically extracting a range of marker sets from genome assemblies. Finally, we encourage herpetologists working in genomics, genetics, evolutionary biology, and other fields to work collectively towards building genomic resources for non-avian reptiles, especially squamates, that rival those already in place for mammals and birds. Overall, the development of this cross-amniote phylogenomic tree of life will contribute to illuminate interesting dimensions of biodiversity across non-avian reptiles and broader amniotes.
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Pikunova, Anna, Svetlana Goryunova, Olga Golyaeva, et al. "Plastome Data of Red Currant and Gooseberry Reveal Potential Taxonomical Issues within the Ribes Genus (Grossulariaceae)." Horticulturae 9, no. 9 (2023): 972. http://dx.doi.org/10.3390/horticulturae9090972.
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The complete chloroplast genomes of red currant cultivar ‘Belaya Potapenko’ and gooseberry cultivar ‘Nekrasovskij’ were sequenced and assembled for the first time. The plastomes are 157,802 bp and 157,559 bp in length for Ribes rubrum and R. uva-crispa, respectively. The R. rubrum cp genome is 243 b.p. longer. It has one more protein-coding gene ycf1, which is pseudogenized in the R. uva-crispa cp genome. In total, 56 and 54 simple sequence repeats (SSRs) were identified within the assembled plastid genomes. The SSR content of plastid genomes was assessed for the 18 Saxifragales species. Phylogeny inference based on plastome data of 18 Saxifragales revealed that all Ribes species are clustered together on the phylogenetic tree, though R. fasciculatum seems to be the most distant from the other analyzed Ribes species. The position of taxa inside the Ribes genus clade does not support the concept of its division into five subgenera. All Ribes species share approximately the same set of protein-coding genes in their plastome sequences. There was multiple independent pseudogenization of the ycf1 gene within the Ribes genus as well as other Saxifragales taxa. Negative selection was observed for most of the genes in both the Ribes group and Saxifragales. A positive selection ratio was observed only inside the Ribes group for the ycf4 and clpP genes. Together with positive selection signatures, pseudogenization events of ycfs genes perhaps reflect that these genes’ evolution was important for Ribes’ adaptation. Thus, our study provides genomic resources and valuable reference for marker development, and makes some clarifications of the phylogenomics of the Ribes genus.
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Demeulenaere, Else, Tom Schils, J. Gordon Burleigh, Jens J. Ringelberg, Erik J. M. Koenen, and Stefanie M. Ickert-Bond. "Phylogenomic assessment prompts recognition of the Serianthes clade and confirms the monophyly of Serianthes and its relationship with Falcataria and Wallaceodendron in the wider ingoid clade (Leguminosae, Caesalpinioideae)." PhytoKeys 205 (August 22, 2022): 335–61. https://doi.org/10.3897/phytokeys.205.79144.
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The Indo-Pacific legume genus Serianthes was recently placed in the Archidendron clade (sensu Koenen et al. 2020), a subclade of the mimosoid clade in subfamily Caesalpinioideae, which also includes Acacia, Archidendron, Archidendropsis, Falcataria, Pararchidendron, Paraserianthes and Wallaceodendron. Serianthes comprises ca. 18 species, five subspecies and two varieties that are characterised by bipinnately compound leaves with alternate sessile leaflets, branched axillary corymbiform panicles and woody indehiscent pods. Generic relationships, as well as species relationships within genera in the Archidendron clade, remain uncertain. While the sister relationship between Serianthes and the genus Falcataria is strongly supported by molecular data, the distinction between Serianthes and the monotypic genus Wallaceodendron has been questioned, based on their similar flower and fruit morphologies. We combined three gene-enriched hybrid capture DNA sequence datasets (generated from the 964 mimobaits v1 probe set, the expanded 997 mimobaits v2 probe set and the GoFlag angiosperm 408 probe set) and used their overlapping markers (77 loci of the target exonic and flanking regions) to test the monophyly of Serianthes and to investigate generic relationships within the Archidendron clade using 55 ingoid plus two outgroup taxa. We show that Serianthes is monophyletic, confirm the Serianthes + Falcataria sister relationship to Wallaceodendron and recognise this combined clade as the Serianthes clade within the Archidendron clade. We also evaluated the use of overlapping loci across datasets in combination with concordance analyses to test generic relationships and further investigate previously unresolved relationships across the wider ingoid clade. Concordance analysis revealed limited gene tree conflicts near the tips of the Archidendron clade, but increased discordance at the base of the clade, which could be attributed to rapid lineage divergence (radiation) and/or incomplete lineage sorting.
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Cloutier, Alison, Timothy B. Sackton, Phil Grayson, Michele Clamp, Allan J. Baker, and Scott V. Edwards. "Whole-Genome Analyses Resolve the Phylogeny of Flightless Birds (Palaeognathae) in the Presence of an Empirical Anomaly Zone." Systematic Biology 68, no. 6 (2019): 937–55. http://dx.doi.org/10.1093/sysbio/syz019.
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Abstract Palaeognathae represent one of the two basal lineages in modern birds, and comprise the volant (flighted) tinamous and the flightless ratites. Resolving palaeognath phylogenetic relationships has historically proved difficult, and short internal branches separating major palaeognath lineages in previous molecular phylogenies suggest that extensive incomplete lineage sorting (ILS) might have accompanied a rapid ancient divergence. Here, we investigate palaeognath relationships using genome-wide data sets of three types of noncoding nuclear markers, together totaling 20,850 loci and over 41 million base pairs of aligned sequence data. We recover a fully resolved topology placing rheas as the sister to kiwi and emu + cassowary that is congruent across marker types for two species tree methods (MP-EST and ASTRAL-II). This topology is corroborated by patterns of insertions for 4274 CR1 retroelements identified from multispecies whole-genome screening, and is robustly supported by phylogenomic subsampling analyses, with MP-EST demonstrating particularly consistent performance across subsampling replicates as compared to ASTRAL. In contrast, analyses of concatenated data supermatrices recover rheas as the sister to all other nonostrich palaeognaths, an alternative that lacks retroelement support and shows inconsistent behavior under subsampling approaches. While statistically supporting the species tree topology, conflicting patterns of retroelement insertions also occur and imply high amounts of ILS across short successive internal branches, consistent with observed patterns of gene tree heterogeneity. Coalescent simulations and topology tests indicate that the majority of observed topological incongruence among gene trees is consistent with coalescent variation rather than arising from gene tree estimation error alone, and estimated branch lengths for short successive internodes in the inferred species tree fall within the theoretical range encompassing the anomaly zone. Distributions of empirical gene trees confirm that the most common gene tree topology for each marker type differs from the species tree, signifying the existence of an empirical anomaly zone in palaeognaths.
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Steenwyk, Jacob L., Dayna C. Goltz, Thomas J. Buida, Yuanning Li, Xing-Xing Shen, and Antonis Rokas. "OrthoSNAP: A tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees." PLOS Biology 20, no. 10 (2022): e3001827. http://dx.doi.org/10.1371/journal.pbio.3001827.
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Molecular evolution studies, such as phylogenomic studies and genome-wide surveys of selection, often rely on gene families of single-copy orthologs (SC-OGs). Large gene families with multiple homologs in 1 or more species—a phenomenon observed among several important families of genes such as transporters and transcription factors—are often ignored because identifying and retrieving SC-OGs nested within them is challenging. To address this issue and increase the number of markers used in molecular evolution studies, we developed OrthoSNAP, a software that uses a phylogenetic framework to simultaneously split gene families into SC-OGs and prune species-specific inparalogs. We term SC-OGs identified by OrthoSNAP as SNAP-OGs because they are identified using a splitting and pruning procedure analogous to snapping branches on a tree. From 415,129 orthologous groups of genes inferred across 7 eukaryotic phylogenomic datasets, we identified 9,821 SC-OGs; using OrthoSNAP on the remaining 405,308 orthologous groups of genes, we identified an additional 10,704 SNAP-OGs. Comparison of SNAP-OGs and SC-OGs revealed that their phylogenetic information content was similar, even in complex datasets that contain a whole-genome duplication, complex patterns of duplication and loss, transcriptome data where each gene typically has multiple transcripts, and contentious branches in the tree of life. OrthoSNAP is useful for increasing the number of markers used in molecular evolution data matrices, a critical step for robustly inferring and exploring the tree of life.
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Romiguier, Jonathan, Vincent Ranwez, Frédéric Delsuc, Nicolas Galtier, and Emmanuel J.P. Douzery. "Less Is More in Mammalian Phylogenomics: AT-Rich Genes Minimize Tree Conflicts and Unravel the Root of Placental Mammals." Molecular Biology and Evolution 30, no. 9 (2013): 2134–44. https://doi.org/10.5281/zenodo.14817402.
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(Uploaded by Plazi for the Bat Literature Project) Despite the rapid increase of size in phylogenomic data sets, a number of important nodes on animal phylogeny are still unresolved. Among these, the rooting of the placental mammal tree is still a controversial issue. One difficulty lies in the pervasive phylogenetic conflicts among genes, with each one telling its own story, which may be reliable or not. Here, we identified a simple criterion, that is, the GC content, which substantially helps in determining which gene trees best reflect the species tree. We assessed the ability of 13,111 coding sequence alignments to correctly reconstruct the placental phylogeny. We found that GC-rich genes induced a higher amount of conflict among gene trees and performed worse than AT-rich genes in retrieving well-supported, consensual nodes on the placental tree. We interpret this GC effect mainly as a consequence of genome-wide variations in recombination rate. Indeed, recombination is known to drive GC-content evolution through GC-biased gene conversion and might be problematic for phylogenetic reconstruction, for instance, in an incomplete lineage sorting context. When we focused on the AT-richest fraction of the data set, the resolution level of the placental phylogeny was greatly increased, and a strong support was obtained in favor of an Afrotheria rooting, that is, Afrotheria as the sister group of all other placentals. We show that in mammals most conflicts among gene trees, which have so far hampered the resolution of the placental tree, are concentrated in the GC-rich regions of the genome. We argue that the GC content—because it is a reliable indicator of the long-term recombination rate—is an informative criterion that could help in identifying the most reliable molecular markers for species tree inference.
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Kadlec, Malvina, Dirk U. Bellstedt, Nicholas C. Le Maitre, and Michael D. Pirie. "Targeted NGS for species level phylogenomics: “made to measure” or “one size fits all”?" PeerJ 5 (July 25, 2017): e3569. http://dx.doi.org/10.7717/peerj.3569.
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Targeted high-throughput sequencing using hybrid-enrichment offers a promising source of data for inferring multiple, meaningfully resolved, independent gene trees suitable to address challenging phylogenetic problems in species complexes and rapid radiations. The targets in question can either be adopted directly from more or less universal tools, or custom made for particular clades at considerably greater effort. We applied custom made scripts to select sets of homologous sequence markers from transcriptome and WGS data for use in the flowering plant genus Erica (Ericaceae). We compared the resulting targets to those that would be selected both using different available tools (Hyb-Seq; MarkerMiner), and when optimising for broader clades of more distantly related taxa (Ericales; eudicots). Approaches comparing more divergent genomes (including MarkerMiner, irrespective of input data) delivered fewer and shorter potential markers than those targeted for Erica. The latter may nevertheless be effective for sequence capture across the wider family Ericaceae. We tested the targets delivered by our scripts by obtaining an empirical dataset. The resulting sequence variation was lower than that of standard nuclear ribosomal markers (that in Erica fail to deliver a well resolved gene tree), confirming the importance of maximising the lengths of individual markers. We conclude that rather than searching for “one size fits all” universal markers, we should improve and make more accessible the tools necessary for developing “made to measure” ones.
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Xu, Shuai, Zhenpeng Li, Yuanming Huang, et al. "Whole genome sequencing reveals the genomic diversity, taxonomic classification, and evolutionary relationships of the genus Nocardia." PLOS Neglected Tropical Diseases 15, no. 8 (2021): e0009665. http://dx.doi.org/10.1371/journal.pntd.0009665.
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Nocardia is a complex and diverse genus of aerobic actinomycetes that cause complex clinical presentations, which are difficult to diagnose due to being misunderstood. To date, the genetic diversity, evolution, and taxonomic structure of the genus Nocardia are still unclear. In this study, we investigated the pan-genome of 86 Nocardia type strains to clarify their genetic diversity. Our study revealed an open pan-genome for Nocardia containing 265,836 gene families, with about 99.7% of the pan-genome being variable. Horizontal gene transfer appears to have been an important evolutionary driver of genetic diversity shaping the Nocardia genome and may have caused historical taxonomic confusion from other taxa (primarily Rhodococcus, Skermania, Aldersonia, and Mycobacterium). Based on single-copy gene families, we established a high-accuracy phylogenomic approach for Nocardia using 229 genome sequences. Furthermore, we found 28 potentially new species and reclassified 16 strains. Finally, by comparing the topology between a phylogenomic tree and 384 phylogenetic trees (from 384 single-copy genes from the core genome), we identified a novel locus for inferring the phylogeny of this genus. The dapb1 gene, which encodes dipeptidyl aminopeptidase BI, was far superior to commonly used markers for Nocardia and yielded a topology almost identical to that of genome-based phylogeny. In conclusion, the present study provides insights into the genetic diversity, contributes a robust framework for the taxonomic classification, and elucidates the evolutionary relationships of Nocardia. This framework should facilitate the development of rapid tests for the species identification of highly variable species and has given new insight into the behavior of this genus.
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Zhang, Chao, Celine Scornavacca, Erin K. Molloy, and Siavash Mirarab. "ASTRAL-Pro: Quartet-Based Species-Tree Inference despite Paralogy." Molecular Biology and Evolution 37, no. 11 (2020): 3292–307. http://dx.doi.org/10.1093/molbev/msaa139.
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Abstract Phylogenetic inference from genome-wide data (phylogenomics) has revolutionized the study of evolution because it enables accounting for discordance among evolutionary histories across the genome. To this end, summary methods have been developed to allow accurate and scalable inference of species trees from gene trees. However, most of these methods, including the widely used ASTRAL, can only handle single-copy gene trees and do not attempt to model gene duplication and gene loss. As a result, most phylogenomic studies have focused on single-copy genes and have discarded large parts of the data. Here, we first propose a measure of quartet similarity between single-copy and multicopy trees that accounts for orthology and paralogy. We then introduce a method called ASTRAL-Pro (ASTRAL for PaRalogs and Orthologs) to find the species tree that optimizes our quartet similarity measure using dynamic programing. By studying its performance on an extensive collection of simulated data sets and on real data sets, we show that ASTRAL-Pro is more accurate than alternative methods.
Reports on the topic "Marker gene-based phylogenomics tree"
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Aroney, Sam, Rhys Newell, Gene Tyson, and Ben Woodcroft. Recovering novel genomes from the rare biosphere using Bin Chicken. Queensland University of Technology, 2024. http://dx.doi.org/10.5204/rep.eprints.253145.
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Recovery of microbial genomes from metagenomic datasets has provided genomic representation for hundreds of thousands of species from diverse biomes. However, low abundance microorganisms are often missed due to insufficient genomic coverage. Here we present Bin Chicken, an algorithm which substantially improves genome recovery through automated, targeted selection of metagenomes for coassembly based on shared marker gene sequences derived from raw reads. Marker gene sequences that are divergent from known reference genomes can be further prioritised, providing an efficient means of recovering highly novel genomes. Applying Bin Chicken to public metagenomes and coassembling 800 sample-groups recovered 77,562 microbial genomes, including the first genomic representatives of 6 phyla, 41 classes, and 24,028 species. These genomes expand the genomic tree of life and uncover a wealth of novel microbial lineages for further research.