Greyhound Nation: A Coevolutionary History of England, 1200–1900, by Edmund Russell

2020 ◽  
Vol 135 (573) ◽  
pp. 497-498
Author(s):  
Lesley B MacGregor
1991 ◽  
Vol 4 (1) ◽  
pp. 91 ◽  
Author(s):  
JR Grehan

The coevolutionary history of Lepidoptera and angiosperms is evaluated in relation to Croizat's panbiogeographic synthesis of angiosperm evolution. The panbiogeographic method of ocean basin classification is used to identify major patterns of trans-oceanic distribution for lepidopteran families and genera (principally non-ditrysian). The Pacific basin is identified as a major evolutionary centre for several 'primitive non-ditrysian Lepidoptera, including Zeugloptera, Aglossata, Heterobathmiina, Neopsuestina, Palaephatidae, Prodoxidae, and possibly the Dacnonypha. The ditrysian Ithomiidae are similarly classified with the Pacific while the related Daniidae are identified as Indian Ocean. An Indian Ocean baseline is proposed for the Callidulidae, Tinissimae and Perissomasticini (Tineidae). A 'coevolutionary' history is supported in terms of Lepidoptera and angiosperms sharing common biogeographic (spatiotemporal) characters associated with the pre-Cretaceous tectonic history of major ocean and sea basins. The lack of congruent higher level Lepidoptera-angiosperm phylogenies emerging from systematic studies may be due to a lack of cospeciation events, but this does not exclude a close ecological and evolutionary relationship through the history of both groups.


2019 ◽  
Vol 44 (4) ◽  
pp. 939-956 ◽  
Author(s):  
Scott E. Solomon ◽  
Christian Rabeling ◽  
Jeffrey Sosa‐Calvo ◽  
Cauê T. Lopes ◽  
André Rodrigues ◽  
...  

2019 ◽  
Author(s):  
Mariana P Braga ◽  
Michael Landis ◽  
Sören Nylin ◽  
Niklas Janz ◽  
Fredrik Ronquist

AbstractIntimate ecological interactions, such as those between parasites and their hosts, may persist over long time spans, coupling the evolutionary histories of the lineages involved. Most methods that reconstruct the coevolutionary history of such associations make the simplifying assumption that parasites have a single host. Many methods also focus on congruence between host and parasite phylogenies, using cospeciation as the null model. However, there is an increasing body of evidence suggesting that the host ranges of parasites are more complex: that host ranges often include more than one host and evolve via gains and losses of hosts rather than through cospeciation alone. Here, we develop a Bayesian approach for inferring coevolutionary history based on a model accommodating these complexities. Specifically, a parasite is assumed to have a host repertoire, which includes both potential hosts and one or more actual hosts. Over time, potential hosts can be added or lost, and potential hosts can develop into actual hosts or vice versa. Thus, host colonization is modeled as a two-step process, which may potentially be influenced by host relatedness or host traits. We first explore the statistical behavior of our model by simulating evolution of host-parasite interactions under a range of parameters. We then use our approach, implemented in the program RevBayes, to infer the coevolutionary history between 34 Nymphalini butterfly species and 25 angiosperm families.


2009 ◽  
Vol 9 (1) ◽  
pp. 158 ◽  
Author(s):  
Satoko Noda ◽  
Yuichi Hongoh ◽  
Tomoyuki Sato ◽  
Moriya Ohkuma

2020 ◽  
Vol 69 (6) ◽  
pp. 1149-1162 ◽  
Author(s):  
Mariana P Braga ◽  
Michael J Landis ◽  
Sören Nylin ◽  
Niklas Janz ◽  
Fredrik Ronquist

Abstract Intimate ecological interactions, such as those between parasites and their hosts, may persist over long time spans, coupling the evolutionary histories of the lineages involved. Most methods that reconstruct the coevolutionary history of such interactions make the simplifying assumption that parasites have a single host. Many methods also focus on congruence between host and parasite phylogenies, using cospeciation as the null model. However, there is an increasing body of evidence suggesting that the host ranges of parasites are more complex: that host ranges often include more than one host and evolve via gains and losses of hosts rather than through cospeciation alone. Here, we develop a Bayesian approach for inferring coevolutionary history based on a model accommodating these complexities. Specifically, a parasite is assumed to have a host repertoire, which includes both potential hosts and one or more actual hosts. Over time, potential hosts can be added or lost, and potential hosts can develop into actual hosts or vice versa. Thus, host colonization is modeled as a two-step process that may potentially be influenced by host relatedness. We first explore the statistical behavior of our model by simulating evolution of host–parasite interactions under a range of parameter values. We then use our approach, implemented in the program RevBayes, to infer the coevolutionary history between 34 Nymphalini butterfly species and 25 angiosperm families. Our analysis suggests that host relatedness among angiosperm families influences how easily Nymphalini lineages gain new hosts. [Ancestral hosts; coevolution; herbivorous insects; probabilistic modeling.]


Parasitology ◽  
2014 ◽  
Vol 142 (5) ◽  
pp. 635-647 ◽  
Author(s):  
ELVIN J. LAURON ◽  
CLAIRE LOISEAU ◽  
RAURI C. K. BOWIE ◽  
GREG S. SPICER ◽  
THOMAS B. SMITH ◽  
...  

SUMMARYThe coevolutionary relationships between avian malaria parasites and their hosts influence the host specificity, geographical distribution and pathogenicity of these parasites. However, to understand fine scale coevolutionary host–parasite relationships, robust and widespread sampling from closely related hosts is needed. We thus sought to explore the coevolutionary history of avianPlasmodiumand the widespread African sunbirds, family Nectariniidae. These birds are distributed throughout Africa and occupy a variety of habitats. Considering the role that habitat plays in influencing host-specificity and the role that host-specificity plays in coevolutionary relationships, African sunbirds provide an exceptional model system to study the processes that govern the distribution and diversity of avian malaria. Here we evaluated the coevolutionary histories using a multi-gene phylogeny for Nectariniidae and avianPlasmodiumfound in Nectariniidae. We then assessed the host–parasite biogeography and the structuring of parasite assemblages. We recoveredPlasmodiumlineages concurrently in East, West, South and Island regions of Africa. However, severalPlasmodiumlineages were recovered exclusively within one respective region, despite being found in widely distributed hosts. In addition, we inferred the biogeographic history of these parasites and provide evidence supporting a model of biotic diversification in avianPlasmodiumof African sunbirds.


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