scholarly journals Molecular and morphological clocks for estimating evolutionary divergence times

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jose Barba-Montoya ◽  
Qiqing Tao ◽  
Sudhir Kumar
Keyword(s):  
Divergence Time ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Divergence Times ◽  
Evolutionary Divergence ◽  
Species Divergence ◽  
Time Estimates ◽  
Branch Lengths ◽  
Morphological And Molecular Data

Abstract Background Matrices of morphological characters are frequently used for dating species divergence times in systematics. In some studies, morphological and molecular character data from living taxa are combined, whereas others use morphological characters from extinct taxa as well. We investigated whether morphological data produce time estimates that are concordant with molecular data. If true, it will justify the use of morphological characters alongside molecular data in divergence time inference. Results We systematically analyzed three empirical datasets from different species groups to test the concordance of species divergence dates inferred using molecular and discrete morphological data from extant taxa as test cases. We found a high correlation between their divergence time estimates, despite a poor linear relationship between branch lengths for morphological and molecular data mapped onto the same phylogeny. This was because node-to-tip distances showed a much higher correlation than branch lengths due to an averaging effect over multiple branches. We found that nodes with a large number of taxa often benefit from such averaging. However, considerable discordance between time estimates from molecules and morphology may still occur as  some intermediate nodes may show large time differences between these two types of data. Conclusions Our findings suggest that node- and tip-calibration approaches may be better suited for nodes with many taxa. Nevertheless, we highlight the importance of evaluating the concordance of intrinsic time structure in morphological and molecular data before any dating analysis using combined datasets.

scholarly journals Molecular and morphological clocks for estimating evolutionary divergence times

2021 ◽  
Author(s):  
Jose Barba-Montoya ◽  
Qiqing Tao ◽  
Sudhir Kumar
Keyword(s):  
Divergence Time ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Divergence Times ◽  
Evolutionary Divergence ◽  
Species Divergence ◽  
Time Estimates ◽  
Branch Lengths ◽  
Morphological And Molecular Data

Abstract Background: Matrices of morphological characters are frequently used for dating species divergence times in systematics. In some studies, morphological and molecular character data from living taxa are combined, whereas others use morphological characters from extinct taxa as well. We investigated whether morphological data produce time estimates that are concordant with molecular data. If true, it will justify the use of morphological characters alongside molecular data in divergence time inference.Results: We systematically analyzed three empirical datasets from different species groups to test the concordance of species divergence dates inferred using molecular and discrete morphological data from extant taxa as test cases. We found a high correlation between their divergence time estimates, despite a poor linear relationship between branch lengths for morphological and molecular data mapped onto the same phylogeny. This was because node-to-tip distances showed a much higher correlation than branch lengths due to an averaging effect over multiple branches. We found that nodes with a large number of taxa often benefit from such averaging. However, considerable discordance between time estimates from molecules and morphology may still occur because some deeper nodes show a large time differences between these two types of data.Conclusions: Our findings suggest that node- and tip-calibration approaches may be better suited for nodes with many taxa. Nevertheless, we highlight the importance of evaluating the concordance of time structure in morphological and molecular data before any dating analysis using combined datasets.

scholarly journals Molecular and morphological clocks for estimating evolutionary divergence times

2021 ◽  
Author(s):  
Jose Barba-Montoya ◽  
Qiqing Tao ◽  
Sudhir Kumar
Keyword(s):  
Divergence Time ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Divergence Times ◽  
Evolutionary Divergence ◽  
Species Divergence ◽  
Time Estimates ◽  
Branch Lengths ◽  
Morphological And Molecular Data

Abstract Background: Matrices of morphological characters are frequently used for dating species divergence times in systematics. In some studies, morphological and molecular character data from living taxa are combined, whereas others use morphological characters from extinct taxa as well. We investigated whether morphological data produce time estimates that are concordant with molecular data. If true, it will justify the use of morphological characters alongside molecular data in divergence time inference.Results: We systematically analyzed three empirical datasets from different species groups to test the concordance of species divergence dates inferred using molecular and discrete morphological data from extant taxa as test cases. We found a high correlation between their divergence time estimates, despite a poor linear relationship between branch lengths for morphological and molecular data mapped onto the same phylogeny. This was because node-to-tip distances showed a much higher correlation than branch lengths due to an averaging effect over multiple branches. We found that nodes with a large number of taxa often benefit from such averaging. However, considerable discordance between time estimates from molecules and morphology may still occur because some deeper nodes may show large time differences between these two types of data.Conclusions: Our findings suggest that node- and tip-calibration approaches may be better suited for nodes with many taxa. Nevertheless, we highlight the importance of evaluating the concordance of intrinsic time structure in morphological and molecular data before any dating analysis using combined datasets.

scholarly journals Molecular and morphological clocks for estimating evolutionary divergence times

2020 ◽  
Author(s):  
Jose Barba-Montoya ◽  
Qiqing Tao ◽  
Sudhir Kumar
Keyword(s):  
Divergence Time ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Divergence Times ◽  
Evolutionary Divergence ◽  
Species Divergence ◽  
Time Estimates ◽  
Branch Lengths ◽  
Morphological And Molecular Data

Abstract Background: Matrices of morphological characters are frequently used for dating species divergence times in systematics. In some studies, morphological and molecular character data from living taxa are combined, whereas others use morphological characters from extinct taxa as well. We investigated whether morphological data produce time estimates that are concordant with molecular data. If true, it will justify the use of morphological characters alongside molecular data in divergence time inference. Results: We systematically analyzed three empirical datasets from different species groups to test the concordance of dates of species divergence inferred using molecular and discrete morphological data from extant taxa as test cases. We found a high correlation between their divergence time estimates, despite a poor linear relationship between branch lengths for morphological and molecular data mapped onto the same phylogeny. This was because node-to-tip distances showed a much higher correlation than branch lengths, because of an averaging effect over multiple branches. We found that nodes with a large number of taxa often benefit from such averaging, but some considerable discordance between time estimates from molecules and morphology may still occur because some deeper branches show large difference from two types of data. Conclusions: Our findings suggest that node- and tip-calibration approaches may be better suited for nodes with a large number of taxa. Nevertheless, we highlight the importance of evaluating the concordance of time structure in morphological and molecular data before any dating analysis using combined datasets.

scholarly journals Bayesian Estimation of Species Divergence Times Using Correlated Quantitative Characters

2018 ◽  
Author(s):  
Sandra Álvarez-Carretero ◽  
Anjali Goswami ◽  
Ziheng Yang ◽  
Mario dos Reis
Keyword(s):  
Morphological Characters ◽  
Molecular Data ◽  
Population Variation ◽  
Morphological Data ◽  
Quantitative Character ◽  
Divergence Times ◽  
Species Divergence ◽  
Time Estimates ◽  
Quantitative Characters ◽  
Species Evolution

AbstractDiscrete morphological data have been widely used to study species evolution, but the use of quantitative (or continuous) morphological characters is less common. Here, we implement a Bayesian method to estimate species divergence times using quantitative characters. Quantitative character evolution is modelled using Brownian diffusion with character correlation and character variation within populations. Through simulations, we demonstrate that ignoring the population variation (or population “noise”) and the correlation among characters leads to biased estimates of divergence times and rate, especially if the correlation and population noise are high. We apply our new method to the analysis of quantitative characters (cranium landmarks) and molecular data from carnivoran mammals. Our results show that time estimates are affected by whether the correlations and population noise are accounted for or ignored in the analysis. The estimates are also affected by the type of data analysed, with analyses of morphological characters only, molecular data only, or a combination of both; showing noticeable differences among the time estimates. Rate variation of morphological characters among the carnivoran species appears to be very high, with Bayesian model selection indicating that the independent-rates model fits the morphological data better than the autocorrelated-rates model. We suggest that using morphological continuous characters, together with molecular data, can bring a new perspective to the study of species evolution. Our new model is implemented in the MCMCtree computer program for Bayesian inference of divergence times.

scholarly journals Bayesian Estimation of Species Divergence Times Using Correlated Quantitative Characters

2019 ◽  
Vol 68 (6) ◽  
pp. 967-986 ◽  
Author(s):  
Sandra Álvarez-Carretero ◽  
Anjali Goswami ◽  
Ziheng Yang ◽  
Mario Dos Reis
Keyword(s):  
Morphological Characters ◽  
Molecular Data ◽  
Population Variation ◽  
Morphological Data ◽  
Quantitative Character ◽  
Divergence Times ◽  
Species Divergence ◽  
Time Estimates ◽  
Quantitative Characters ◽  
Species Evolution

Abstract Discrete morphological data have been widely used to study species evolution, but the use of quantitative (or continuous) morphological characters is less common. Here, we implement a Bayesian method to estimate species divergence times using quantitative characters. Quantitative character evolution is modeled using Brownian diffusion with character correlation and character variation within populations. Through simulations, we demonstrate that ignoring the population variation (or population “noise”) and the correlation among characters leads to biased estimates of divergence times and rate, especially if the correlation and population noise are high. We apply our new method to the analysis of quantitative characters (cranium landmarks) and molecular data from carnivoran mammals. Our results show that time estimates are affected by whether the correlations and population noise are accounted for or ignored in the analysis. The estimates are also affected by the type of data analyzed, with analyses of morphological characters only, molecular data only, or a combination of both; showing noticeable differences among the time estimates. Rate variation of morphological characters among the carnivoran species appears to be very high, with Bayesian model selection indicating that the independent-rates model fits the morphological data better than the autocorrelated-rates model. We suggest that using morphological continuous characters, together with molecular data, can bring a new perspective to the study of species evolution. Our new model is implemented in the MCMCtree computer program for Bayesian inference of divergence times.

scholarly journals What drives results in Bayesian morphological clock analyses?

2017 ◽  
Author(s):  
Caroline Parins-Fukuchi ◽  
Joseph W. Brown
Keyword(s):  
Morphological Evolution ◽  
Divergence Time ◽  
Morphological Characters ◽  
Morphological Data ◽  
Divergence Times ◽  
High Profile ◽  
Divergence Time Estimates ◽  
Time Estimates ◽  
Geological Information ◽  
Positive Effect

AbstractRecently, approaches that estimate species divergence times using fossil taxa and models of morphological evolution have exploded in popularity. These methods incorporate diverse biological and geological information to inform posterior reconstructions, and have been applied to several high-profile clades to positive effect. However, there are important examples where morphological data are misleading, resulting in unrealistic age estimates. While several studies have demonstrated that these approaches can be robust and internally consistent, the causes and limitations of these patterns remain unclear. In this study, we dissect signal in Bayesian dating analyses of three mammalian clades. For two of the three examples, we find that morphological characters provide little information regarding divergence times as compared to geological range information, with posterior estimates largely recapitulating those recovered under the prior. However, in the cetacean dataset, we find that morphological data do appreciably inform posterior divergence time estimates. We supplement these empirical analyses with a set of simulations designed to explore the efficiency and limitations of binary and 3-state character data in reconstructing node ages. Our results demonstrate areas of both strength and weakness for morphological clock analyses, and help to outline conditions under which they perform best and, conversely, when they should be eschewed in favour of purely geological approaches.

Revision of Autolytinae (Syllidae: Polychaeta)

Zootaxa ◽  
2004 ◽  
Vol 680 (1) ◽  
pp. 1 ◽  
Author(s):  
ARNE NYGREN
Keyword(s):  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Data Sets ◽  
Nominal Species ◽  
Strict Consensus Tree ◽  
Incertae Sedis ◽  
Nomina Dubia ◽  
Morphological And Molecular Data ◽  
Combined Data

Autolytinae is revised based on available types, and newly collected specimens. Out of 170 nominal species, 18 are considered as incertae sedis, 43 are regarded as junior synonyms, and 25 are referred to as nomina dubia. The relationships of Autolytinae is assessed from 51 morphological characters and 211 states for 76 ingroup-taxa, and 460 molecular characters from mitochondrial 16S rDNA and nuclear 18S rDNA for 31 ingroup-taxa; outgroups include 12 non-autolytine syllid polychaetes. Two analyses are provided, one including morphological data only, and one with combined morphological and molecular data sets. The resulting strict consensus tree from the combined data is chosen for a reclassification. Three main clades are identified: Procerini trib. n., Autolytini Grube, 1850, and Epigamia gen. n. Proceraea Ehlers, 1864 and Myrianida Milne Edwards, 1845 are referred to as nomen protectum, while Scolopendra Slabber, 1781, Podonereis Blainville, 1818, Amytis Savigny, 1822, Polynice Savigny, 1822, and Nereisyllis Blainville, 1828 are considered

scholarly journals Craniodental morphology and phylogeny of marsupials

2021 ◽  
Author(s):  
Robin M. D. Beck ◽  
Robert Voss ◽  
Sharon Jansa
Keyword(s):  
Phylogenetic Analysis ◽  
Dna Sequences ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Future Research ◽  
Data Types ◽  
Wide Range ◽  
Morphological And Molecular Data ◽  
Dense Sampling

The current literature on marsupial phylogenetics includes numerous studies based on analyses of morphological data with relatively limited sampling of Recent and fossil taxa, and many studies based on analyses of molecular data that include a dense sampling of Recent taxa, but relatively few that combine both data types. Another dichotomy in the marsupial phylogenetic literature is between studies that focus on New World taxa, others that focus on Sahulian taxa. To date, there has been no attempt to assess the phylogenetic relationships of the global marsupial fauna, based on combined analyses of morphology and molecular sequences, for a dense sampling of Recent and fossil taxa. For this report, we compiled morphological and molecular data from an unprecedented number of Recent and fossil marsupials. Our morphological data consist of 180 craniodental characters that we scored for 97 species representing every currently recognized Recent genus, 42 additional ingroup (crown-clade marsupial) taxa represented by well-preserved fossils, and 5 outgroups (non-marsupial metatherians). Our molecular data comprise 24.5 kb of DNA sequences from whole-mitochondrial genomes and six nuclear loci (APOB, BRCA1, GHR, RAG1, RBP3 and VWF) for 97 marsupial terminals (the same Recent taxa scored for craniodental morphology) and several placental and monotreme outgroups. The results of separate and combined analyses of these data using a wide range of phylogenetic methods support many currently accepted hypotheses of ingroup (marsupial) relationships, but they also underscore the difficulty of placing fossils with key missing data (e.g., †Evolestes), and the unique difficulty of placing others that exhibit mosaics of plesiomorphic and autapomorphic traits (e.g., †Yalkaparidon). Unique contributions of our study are (1) critical discussions and illustrations of marsupial craniodental morphology, including descriptions and illustrations of some features never previously coded for phylogenetic analysis; (2) critical assessments of relative support for many suprageneric clades; (3) estimates of divergence times derived from tip-and-node dating based on uniquely taxon-dense analyses; and (4) a revised, higher-order classification of marsupials accompanied by lists of supporting craniodental synapomorphies. Far from the last word on these topics, this report lays the foundation for future research that may be enabled by the discovery of new fossil taxa, better-preserved material of previously described taxa, novel morphological characters, and improved methods of phylogenetic analysis.

The impact of multiple molecular and morphological data sets on the phylogenetic reconstruction of subtribe Neurachninae (Poaceae: Panicoideae: Paniceae)

2021 ◽  
Author(s):  
E. J. Thompson ◽  
Melodina Fabillo
Keyword(s):  
Internal Transcribed Spacer ◽  
Phylogenetic Reconstruction ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Data Sets ◽  
Plastid Markers ◽  
Morphological And Molecular Data ◽  
The Impact ◽  
Selection Of

The taxonomy of Neurachninane has been unstable, with its member genera consisting of Ancistrachne, Calyptochloa, Cleistochloa, Dimorphochloa, Neurachne, Paraneurachne and Thyridolepis, changing since its original circumscription that comprised only the latter three genera. Recent studies on the phylogeny of Neurachninae have focused primarily on molecular data. We analysed the phylogeny of Neurachninae on the basis of molecular data from seven molecular loci (plastid markers: matK, ndhF, rbcL, rpl16, rpoC2 and trnLF, and ribosomal internal transcribed spacer, ITS) and morphological data from 104 morphological characters, including new taxonomically informative micromorphology of upper paleas. We devised an impact assessment scoring (IAS) protocol to aid selection of a tree for inferring the phylogeny of Neurachninae. Combining morphological and molecular data resulted in a well resolved phylogeny with the highest IAS value. Our findings support reinstatement of subtribe Neurachninae in its original sense, Neurachne muelleri and Dimorphochloa rigida. We show that Ancistrachne, Cleistochloa and Dimorphochloa are not monophyletic and Ancistrachne maidenii, Calyptochloa, Cleistochloa and Dimorphochloa form a new group, the cleistogamy group, united by having unique morphology associated with reproductive dimorphism.

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