Evolutionary relationships of flavobacterial and enterobacterial endosymbionts with their scale insect hosts (Hemiptera: Coccoidea).
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TL;DR: The authors' analyses suggest that Enterobacteriaceae underwent more evolutionary events (losses, duplications and host switches), and their phylogenies showed a lower proportion of congruent nodes between host and bacteria, indicating a more relaxed relationship with scale insects compared with Flavobacteria.
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Abstract: Flavobacteria and Enterobacteriaceae have been previously reported as scale insect endosymbionts. The purpose of this work was twofold: first, to screen different scale insect families for the presence of these endosymbionts by PCR analyses and second, to elucidate the history of cophylogeny between these bacteria and the insects by analysing a portion of 16S rRNA and 18S rRNA gene sequences by two reconciliation tools, CoRe-PA and Jane. From a survey of 27 scale insects within seven families, we identified Flavobacteria and Enterobacteriaceae as coexisting in ten species that belong to the Ortheziidae, Monophlebidae, Diaspididae and Coccidae families, and we frequently found two closely related enterobacteria harboured in the same individual. Analyses performed with CoRe-PA and Jane suggest that Flavobacteria from the scale insects analysed have a unique origin, except for Candidatus Brownia rhizoecola (Flavobacteria of Pseudococcidae, Phenacoccinae), which seems to come from a nonscale insect. Nevertheless, cospeciation between Flavobacteria and scale insects is suggested only within the families Monophlebidae, Ortheziidae and Diaspididae, and host switches seem to have occurred from the ancestors of Monophlebidae and Ortheziidae to insects from families Coccidae, Lecanodiaspididae, Eriococcidae and Pseudococcidae. Our analyses suggest that Enterobacteriaceae underwent more evolutionary events (losses, duplications and host switches), and their phylogenies showed a lower proportion of congruent nodes between host and bacteria, indicating a more relaxed relationship with scale insects compared with Flavobacteria.
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Hidden biodiversity in an ancient lake: phylogenetic congruence between Lake Tanganyika tropheine cichlids and their monogenean flatworm parasites
Maarten P.M. Vanhove,Antoine Pariselle,Antoine Pariselle,Maarten Van Steenberge,Maarten Van Steenberge,Maarten Van Steenberge,Joost A. M. Raeymaekers,Pascal I. Hablützel,Pascal I. Hablützel,Céline Gillardin,Bart Hellemans,Floris C. Breman,Stephan Koblmüller,Christian Sturmbauer,Jos Snoeks,Jos Snoeks,Filip Volckaert,Tine Huyse,Tine Huyse +18 more
TL;DR: In the first comprehensive phylogenetic parasitological analysis of a vertebrate radiation, monogenean parasites infecting tropheine cichlids from Lake Tanganyika are studied, revealing species-rich parasite assemblages and shows consistent host-specificity.
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The phylogeny of the superfamily Coccoidea (Hemiptera: Sternorrhyncha) based on the morphology of extant and extinct macropterous males
Chris J. Hodgson,Nate B. Hardy +1 more
TL;DR: The scale insect phylogeny is estimated from 162 adult male morphological characters, scored from 269 extant and 29 fossil species representing 43/49 families, resulting in the most taxonomically comprehensive, most resolved and best supported estimate of phylogenetic relationships among scale insect families to date.
60
Biogeography and host‐related factors trump parasite life history: limited congruence among the genetic structures of specific ectoparasitic lice and their rodent hosts
TL;DR: It is evident that the association between P. arvicanthis and Rhabdomys has been shaped by the synergistic effects of parasite traits, host‐related factors and biogeography over evolutionary time.
56
Symbioses shape feeding niches and diversification across insects
Charlie K. Cornwallis,Anouk van ’t Padje,Jacintha Ellers,Malin Klein,Raphaella Jackson,E. Toby Kiers,Stuart A. West,Lee M. Henry +7 more
TL;DR: For over 300 million years, insects have relied on symbiotic microbes for nutrition and defence as discussed by the authors , but it is unclear whether specific ecological conditions have repeatedly favored the evolution of symbioses, and how this has influenced insect diversification.
The Role of Bacterial Symbionts in Triatomines: An Evolutionary Perspective.
Nicolas Salcedo-Porras,Claudia Umaña-Diaz,Ricardo de Oliveira Barbosa Bitencourt,Ricardo de Oliveira Barbosa Bitencourt,Carl Lowenberger +4 more
- 19 Sep 2020
TL;DR: An evolutionary perspective of beneficial symbioses in the Hemiptera is provided, illustrating the context that may drive the evolution of symbioes in triatomines, and the diversity of the triatomine microbiota, bacterial taxa with potential to be beneficial symbionts, the unique characteristics of tri atomine-bacteria symbiose, andThe interactions among trypanosomes, microbiota, and triatomites are highlighted.
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References
Clustal w: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice
TL;DR: The sensitivity of the commonly used progressive multiple sequence alignment method has been greatly improved and modifications are incorporated into a new program, CLUSTAL W, which is freely available.
A new look at the statistical model identification
TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
MUSCLE: multiple sequence alignment with high accuracy and high throughput
TL;DR: MUSCLE is a new computer program for creating multiple alignments of protein sequences that includes fast distance estimation using kmer counting, progressive alignment using a new profile function the authors call the log-expectation score, and refinement using tree-dependent restricted partitioning.
45.1K
MrBayes 3: Bayesian phylogenetic inference under mixed models
TL;DR: MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models to analyze heterogeneous data sets and explore a wide variety of structured models mixing partition-unique and shared parameters.
New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0
Stéphane Guindon,Jean-François Dufayard,Vincent Lefort,Maria Anisimova,Wim Hordijk,Olivier Gascuel +5 more
TL;DR: A new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves and a new test to assess the support of the data for internal branches of a phylogeny are introduced.
17.6K