Biogeography and divergence time estimation of the relict Cape dragonfly genus Syncordulia: global significance and implications for conservation

Zootaxa ◽  
2009 ◽  
Vol 2216 (1) ◽  
pp. 22-36 ◽  
Author(s):  
JESSICA L. WARE ◽  
JOHN P. SIMAIKA ◽  
MICHAEL J. SAMWAYS
Keyword(s):  
South Africa ◽  
New Species ◽  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Time Estimation ◽  
Cape Floristic Region ◽  
Conservation Action ◽  
Divergence Time Estimation ◽  
Divergence Time Estimates ◽  
Two New Species

Syncordulia (Odonata: Anisoptera: Libelluloidea) inhabits mostly cool mountainous streams in the Cape Floristic Region of South Africa. It is found at low densities in geographically restricted areas. Syncordulia is endemic to South Africa and, until recently, only two species were known, S. venator (Barnard, 1933) and S. gracilis (Burmeister 1839), both considered Vulnerable by the World Conservation Union (IUCN). Two new species, S. serendipator Dijsktra, Samways & Simaika 2007 and S. legator Dijsktra, Samways & Simaika 2007, were described from previously unrecognized museum specimens and new field collections. Here we corroborate the validity of these two new species using multiple genes and propose intergeneric relationships within Syncordulia. Molecular data from two independent gene fragments (nuclear 28S and ribosomal and cytochrome oxidase subunit I mitochondrial data) were sequenced and/or downloaded from GenBank for 7 libelluloid families, including 12 Syncordulia specimens (2 Syncordulia gracilis, 4 S. serendipator, 2 S. legator and 4 S. venator). The lower libelluloid group GSI (sensu Ware et al. 2007), a diverse group of non– corduliine taxa, is strongly supported as monophyletic. Syncordulia is well supported by both methods of phylogenetic analyses as a monophyletic group deeply nested within the GSI clade. A DIVA biogeographical analysis suggests that the ancestor to the genus Syncordulia may have arisen consequent to the break–up of Gondwana (>120 Mya). Divergence time estimates suggest that Syncordulia diverged well after the breakup of Gondwana, approximately 60 million years ago (Mya), which coincides with the divergence of several Cape fynbos taxa, between 86 – 60 Mya. DIVA analyses suggest that the present distributions of Syncordulia may be the result of dispersal events. We relate these phylogenetic data to the historical biogeography of the genus and to the importance of conservation action.

Two new species of freshwater crabs of the genus Potamonautes MacLeay, 1838 (Decapoda: Brachyura: Potamonautidae) from the forests of KwaZulu-Natal, South Africa

2019 ◽  
Vol 39 (4) ◽  
pp. 426-435 ◽  
Author(s):  
Savel R Daniels ◽  
Theo Busschau ◽  
Neil Cumberlidge
Keyword(s):  
South Africa ◽  
New Species ◽  
Divergence Time ◽  
Time Estimation ◽  
12S Rrna ◽  
Divergence Time Estimation ◽  
Freshwater Crabs ◽  
Kwazulu Natal ◽  
Two New Species ◽  
Indigenous Forest

ABSTRACTRecent taxonomic studies of forest habitats in South Africa have revealed the presence of three new species of freshwater crabs, suggesting that decapod diversity within the indigenous forest biome remain poorly documented. Surveys of the freshwater crabs of north eastern KwaZulu-Natal province produced a number of specimens from Ntendeka Wilderness Area (Ngome forest) and Nkandla and Ngoye forests that proved to belong to two new species following morphological and molecular analysis (mtDNA sequencing of three loci, 12S rRNA, 16S rRNA and COI). Two undescribed species, P. ntendekaensis sp. nov. and P. ngoyensis sp. nov. are described. The divergence time estimation of the new phylogeny for eastern and southern African freshwater crabs is discussed to illuminate biogeographic patterning and to understand factors responsible for cladogenesis.

Discovery of a new species of Anolis lizards from Brazil and its implications for the historical biogeography of montane Atlantic Forest endemics

2020 ◽  
Vol 41 (1) ◽  
pp. 87-103 ◽  
Author(s):  
Ivan Prates ◽  
Paulo Roberto Melo-Sampaio ◽  
Kevin de Queiroz ◽  
Ana Carolina Carnaval ◽  
Miguel Trefaut Rodrigues ◽  
...  
Keyword(s):  
New Species ◽  
Atlantic Forest ◽  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Time Estimation ◽  
Molecular Data ◽  
Morphological Data ◽  
Lizard Species ◽  
Divergence Time Estimation ◽  
The City

Abstract Recent biological discoveries have changed our understanding of the distribution and evolution of neotropical biotas. In the Brazilian Atlantic Forest, the discovery of closely related species isolated on distant mountains has led to the hypothesis that the ancestors of montane species occupied and dispersed through lowland regions during colder periods. This process may explain the distribution of an undescribed Anolis lizard species that we recently discovered at a montane site in the Serra dos Órgãos National Park, a popular tourist destination close to the city of Rio de Janeiro. To investigate whether this species is closely related to other Atlantic Forest montane anoles, we implement phylogenetic analyses and divergence time estimation based on molecular data. We infer the new species nested within the Dactyloa clade of Anolis, forming a clade with A. nasofrontalis and A. pseudotigrinus, two species restricted to montane sites about 400 km northeast of Serra dos Órgãos. The new species diverged from its sister A. nasofrontalis around 5.24 mya, suggesting a cold-adapted lowland ancestor during the early Pliocene. Based on the phylogenetic results, we emend the definitions of the series taxa within Dactyloa, recognizing a clade containing the new species and several of its relatives as the nasofrontalis series. Lastly, we provide morphological data supporting the recognition of the new species and give it a formal scientific name. Future studies are necessary to assess how park visitors, pollutants, and shrinking montane habitats due to climate change will affect this previously overlooked anole species.

scholarly journals Uncertainty in divergence time estimation

2020 ◽  
Author(s):  
Tom Carruthers ◽  
Robert W Scotland
Keyword(s):  
Fossil Record ◽  
Academic Research ◽  
Divergence Time ◽  
Time Estimation ◽  
Divergence Time Estimation ◽  
Diversification Rates ◽  
Divergence Time Estimates ◽  
Use Of Time ◽  
Time Estimates ◽  
Highly Sensitive

Abstract Understanding and representing uncertainty is crucial in academic research, because it enables studies to build on the conclusions of previous studies, leading to robust advances in a particular field. Here, we evaluate the nature of uncertainty and the manner by which it is represented in divergence time estimation, a field that is fundamental to many aspects of macroevolutionary research, and where there is evidence that uncertainty has been seriously underestimated. We address this issue in the context of methods used in divergence time estimation, and with respect to the manner by which time-calibrated phylogenies are interpreted. With respect to methods, we discuss how the assumptions underlying different methods may not adequately reflect uncertainty about molecular evolution, the fossil record, or diversification rates. Therefore, divergence time estimates may not adequately reflect uncertainty, and may be directly contradicted by subsequent findings. For the interpretation of time-calibrated phylogenies, we discuss how the use of time-calibrated phylogenies for reconstructing general evolutionary timescales leads to inferences about macroevolution that are highly sensitive to methodological limitations in how uncertainty is accounted for. By contrast, we discuss how the use of time-calibrated phylogenies to test specific hypotheses leads to inferences about macroevolution that are less sensitive to methodological limitations. Given that many biologists wish to use time-calibrated phylogenies to reconstruct general evolutionary timescales, we conclude that the development of methods of divergence time estimation that adequately account for uncertainty is necessary.

Global classification and evolution of brushlegged mayflies (Insecta: Ephemeroptera: Oligoneuriidae): phylogenetic analyses of morphological and molecular data and dated historical biogeography

2019 ◽  
Vol 187 (2) ◽  
pp. 378-412 ◽  
Author(s):  
Fabiana Criste Massariol ◽  
Daniela Maeda Takiya ◽  
Frederico Falcão Salles
Keyword(s):  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Time Estimation ◽  
Single Species ◽  
Molecular Data ◽  
Neotropical Region ◽  
Fossil Species ◽  
Divergence Time Estimation ◽  
The Family ◽  
Family Based

AbstractOligoneuriidae is a Pantropical family of Ephemeroptera, with 68 species described in 12 genera. Three subfamilies are recognized: Chromarcyinae, with a single species from East Asia; Colocrurinae, with two fossil species from Brazil; and Oligoneuriinae, with the remaining species distributed in the Neotropical, Nearctic, Afrotropical and Palaearctic regions. Phylogenetic and biogeographical analyses were performed for the family based on 2762 characters [73 morphological and 2689 molecular (COI, 16S, 18S and 28S)]. Four major groups were recovered in all analyses (parsimony, maximum likelihood and Bayesian inference), and they were assigned to tribal level, namely Oligoneuriini, Homoeoneuriini trib. nov., Oligoneuriellini trib. nov. and Elassoneuriini trib. nov. In addition, Yawari and Madeconeuria were elevated to genus level. According to Statistical Dispersal-Vicariance (S-DIVA), Dispersal Extinction Cladogenesis (DEC) and divergence time estimation analyses, Oligoneuriidae originated ~150 Mya in the Gondwanan supercontinent, but was probably restricted to the currently delimited Neotropical region. The initial divergence of Oligoneuriidae involved a range expansion to Oriental and Afrotropical areas, sometime between 150 and 118 Mya. At ~118 Mya, the family started its diversification, reaching the Nearctic through dispersal from the Neotropical region and the Palaearctic and Madagascar from the Afrotropical region.

scholarly journals Chloroplast phylogenomics in Camelina (Brassicaceae) reveals multiple origins of polyploid species and the maternal lineage of C. sativa

2022 ◽  
Vol 9 ◽  
Author(s):  
Jordan R Brock ◽  
Terezie Mandáková ◽  
Michael McKain ◽  
Martin A Lysak ◽  
Kenneth M Olsen
Keyword(s):  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Diploid Species ◽  
Time Estimation ◽  
Polyploid Species ◽  
Chromosome Counts ◽  
Diploid Parent ◽  
Divergence Time Estimation ◽  
Multiple Origins ◽  
Chloroplast Genomes

Abstract The genus Camelina (Brassicaceae) comprises 7–8 diploid, tetraploid, and hexaploid species. Of particular agricultural interest is the biofuel crop, C. sativa (gold-of-pleasure or false flax), an allohexaploid domesticated from the widespread weed, C. microcarpa. Recent cytogenetics and genomics work has uncovered the identity of the parental diploid species involved in ancient polyploidization events in Camelina. However, little is known about the maternal subgenome ancestry of contemporary polyploid species. To determine the diploid maternal contributors of polyploid Camelina lineages, we sequenced and assembled 84 Camelina chloroplast genomes for phylogenetic analysis. Divergence time estimation was used to infer the timing of polyploidization events. Chromosome counts were also determined for 82 individuals to assess ploidy and cytotypic variation. Chloroplast genomes showed minimal divergence across the genus, with no observed gene-loss or structural variation. Phylogenetic analyses revealed C. hispida as a maternal diploid parent to the allotetraploid Camelina rumelica, and C. neglecta as the closest extant diploid contributor to the allohexaploids C. microcarpa and C. sativa. The tetraploid C. rumelica appears to have evolved through multiple independent hybridization events. Divergence times for polyploid lineages closely related to C. sativa were all inferred to be very recent, at only ~65 thousand years ago. Chromosome counts confirm that there are two distinct cytotypes within C. microcarpa (2n = 38 and 2n = 40). Based on these findings and other recent research, we propose a model of Camelina subgenome relationships representing our current understanding of the hybridization and polyploidization history of this recently-diverged genus.

scholarly journals Using Phylogenomic Data to Explore the Effects of Relaxed Clocks and Calibration Strategies on Divergence Time Estimation: Primates as a Test Case

2017 ◽  
Author(s):  
Mario dos Reis ◽  
Gregg F. Gunnell ◽  
José Barba-Montoya ◽  
Alex Wilkins ◽  
Ziheng Yang ◽  
...  
Keyword(s):  
Sequence Data ◽  
Divergence Time ◽  
Time Estimation ◽  
Test Case ◽  
Base Pairs ◽  
Molecular Sequence Data ◽  
Divergence Time Estimation ◽  
Divergence Time Estimates ◽  
Time Estimates ◽  
Clock Models

AbstractPrimates have long been a test case for the development of phylogenetic methods for divergence time estimation. Despite a large number of studies, however, the timing of origination of crown Primates relative to the K-Pg boundary and the timing of diversification of the main crown groups remain controversial. Here we analysed a dataset of 372 taxa (367 Primates and 5 outgroups, 61 thousand base pairs) that includes nine complete primate genomes (3.4 million base pairs). We systematically explore the effect of different interpretations of fossil calibrations and molecular clock models on primate divergence time estimates. We find that even small differences in the construction of fossil calibrations can have a noticeable impact on estimated divergence times, especially for the oldest nodes in the tree. Notably, choice of molecular rate model (auto-correlated or independently distributed rates) has an especially strong effect on estimated times, with the independent rates model producing considerably more ancient estimates for the deeper nodes in the phylogeny. We implement thermodynamic integration, combined with Gaussian quadrature, in the program MCMCTree, and use it to calculate Bayes factors for clock models. Bayesian model selection indicates that the auto-correlated rates model fits the primate data substantially better, and we conclude that time estimates under this model should be preferred. We show that for eight core nodes in the phylogeny, uncertainty in time estimates is close to the theoretical limit imposed by fossil uncertainties. Thus, these estimates are unlikely to be improved by collecting additional molecular sequence data. All analyses place the origin of Primates close to the K-Pg boundary, either in the Cretaceous or straddling the boundary into the Palaeogene.

scholarly journals The Implications of Lineage-Specific Rates for Divergence Time Estimation

2019 ◽  
Vol 69 (4) ◽  
pp. 660-670 ◽  
Author(s):  
Tom Carruthers ◽  
Michael J Sanderson ◽  
Robert W Scotland
Keyword(s):  
Estimation Error ◽  
Divergence Time ◽  
Time Estimation ◽  
Rate Variation ◽  
Data Set ◽  
Divergence Time Estimation ◽  
Divergence Time Estimates ◽  
Time Estimates ◽  
The Impact ◽  
Highest Posterior Density

Abstract Rate variation adds considerable complexity to divergence time estimation in molecular phylogenies. Here, we evaluate the impact of lineage-specific rates—which we define as among-branch-rate-variation that acts consistently across the entire genome. We compare its impact to residual rates—defined as among-branch-rate-variation that shows a different pattern of rate variation at each sampled locus, and gene-specific rates—defined as variation in the average rate across all branches at each sampled locus. We show that lineage-specific rates lead to erroneous divergence time estimates, regardless of how many loci are sampled. Further, we show that stronger lineage-specific rates lead to increasing error. This contrasts to residual rates and gene-specific rates, where sampling more loci significantly reduces error. If divergence times are inferred in a Bayesian framework, we highlight that error caused by lineage-specific rates significantly reduces the probability that the 95% highest posterior density includes the correct value, and leads to sensitivity to the prior. Use of a more complex rate prior—which has recently been proposed to model rate variation more accurately—does not affect these conclusions. Finally, we show that the scale of lineage-specific rates used in our simulation experiments is comparable to that of an empirical data set for the angiosperm genus Ipomoea. Taken together, our findings demonstrate that lineage-specific rates cause error in divergence time estimates, and that this error is not overcome by analyzing genomic scale multilocus data sets. [Divergence time estimation; error; rate variation.]

scholarly journals Relative model selection of evolutionary substitution models can be sensitive to multiple sequence alignment uncertainty

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Stephanie J. Spielman ◽  
Molly L. Miraglia
Keyword(s):  
Model Selection ◽  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Selection Procedure ◽  
Evolutionary Model ◽  
Time Estimation ◽  
Ancestral State ◽  
Sequence Alignments ◽  
Multiple Sequence ◽  
Divergence Time Estimation

Abstract Background Multiple sequence alignments (MSAs) represent the fundamental unit of data inputted to most comparative sequence analyses. In phylogenetic analyses in particular, errors in MSA construction have the potential to induce further errors in downstream analyses such as phylogenetic reconstruction itself, ancestral state reconstruction, and divergence time estimation. In addition to providing phylogenetic methods with an MSA to analyze, researchers must also specify a suitable evolutionary model for the given analysis. Most commonly, researchers apply relative model selection to select a model from candidate set and then provide both the MSA and the selected model as input to subsequent analyses. While the influence of MSA errors has been explored for most stages of phylogenetics pipelines, the potential effects of MSA uncertainty on the relative model selection procedure itself have not been explored. Results We assessed the consistency of relative model selection when presented with multiple perturbed versions of a given MSA. We find that while relative model selection is mostly robust to MSA uncertainty, in a substantial proportion of circumstances, relative model selection identifies distinct best-fitting models from different MSAs created from the same set of sequences. We find that this issue is more pervasive for nucleotide data compared to amino-acid data. However, we also find that it is challenging to predict whether relative model selection will be robust or sensitive to uncertainty in a given MSA. Conclusions We find that that MSA uncertainty can affect virtually all steps of phylogenetic analysis pipelines to a greater extent than has previously been recognized, including relative model selection.

scholarly journals Ignoring stratigraphic age uncertainty leads to erroneous estimates of species divergence times under the fossilized birth-death process

2018 ◽  
Author(s):  
Joëlle Barido-Sottani ◽  
Gabriel Aguirre-Fernández ◽  
Melanie Hopkins ◽  
Tanja Stadler ◽  
Rachel Warnock
Keyword(s):  
Divergence Time ◽  
Time Estimation ◽  
Death Process ◽  
Divergence Times ◽  
Point Estimate ◽  
Species Divergence ◽  
Divergence Time Estimation ◽  
Divergence Time Estimates ◽  
Time Estimates ◽  
Birth Death

AbstractFossil information is essential for estimating species divergence times, and can be integrated into Bayesian phylogenetic inference using the fossilized birth-death (FBD) process. An important aspect of palaeontological data is the uncertainty surrounding specimen ages, which can be handled in different ways during inference. The most common approach is to fix fossil ages to a point estimate within the known age interval. Alternatively, age uncertainty can be incorporated by using priors, and fossil ages are then directly sampled as part of the inference. This study presents a comparison of alternative approaches for handling fossil age uncertainty in analysis using the FBD process. Based on simulations, we find that fixing fossil ages to the midpoint or a random point drawn from within the stratigraphic age range leads to biases in divergence time estimates, while sampling fossil ages leads to estimates that are similar to inferences that employ the correct ages of fossils. Second, we show a comparison using an empirical dataset of extant and fossil cetaceans, which confirms that different methods of handling fossil age uncertainty lead to large differences in estimated node ages. Stratigraphic age uncertainty should thus not be ignored in divergence time estimation and instead should be incorporated explicitly.

Sign in / Sign up

Export Citation Format

Share Document