Gene trees and species trees – mutual influences and interdependences of population genetics and systematics

Both population genetics and systematics are core disciplines of evolutionary biology. While systematics deals with genealogical relationships among taxa, population genetics has mainly been based on allele frequencies and the distribution of genetic variants whose genealogical relations could for a long time, due mainly to methodological constraints, not be inferred. The advent of mitochondrial DNA analyses and modern sequencing techniques in the 1970s revolutionized evolutionary genetic studies and gave rise to molecular phylogenetics. In the wake of this new development systematic approaches and principles were incorporated into intraspecific studies at the population level, e.g. the concept of monophyly which is used to delineate evolutionarily significant units in conservation biology. A new discipline combining phylogenetic analyses of genetic lineages with their geographic distribution ('phylogeography') was introduced as an explicit synthesis of population genetics and systematics. On the other hand, it has increasingly become obvious that discordances between gene trees and species trees not only result from spurious data sets or methodological flaws in phylogenetic analyses, but that they often reflect real population genetic processes such as lineage sorting or hybridization. These processes have to be taken into account when evaluating the reliability of gene trees to avoid wrong phylogenetic conclusions. The present review focuses on the phenomenon of non-phylogenetic sorting of ancestral polymorphisms, its probability and its consequences for molecular systematics.     

An information-theoretical approach to phylogeography

Data analysis in phylogeographic investigations is typically conducted in either a qualitative manner, or alternatively via the testing of null hypotheses. The former, where inferences about population processes are derived from geographical patterns of genetic variation, may be subject to confirmation bias and prone to overinterpretation. Testing the predictions of null hypotheses is arguably less prone to bias than qualitative approaches, but only if the tested hypotheses are biologically meaningful. As it is difficult to know a priori if this is the case, there is the general need for additional methodological approaches in phylogeographic research. Here, we explore an alternative method for analysing phylogeographic data that utilizes information theory to quantify the probability of multiple hypotheses given the data. We accomplish this by augmenting the model‐selection procedure implemented in ima with calculations of Akaike Information Criterion scores and model probabilities. We generate a ranking of 17 models each representing a set of historical evolutionary processes that may have contributed to the evolution of Plethodon idahoensis, and then quantify the relative strength of support for each hypothesis given the data using metrics borrowed from information theory. Our results suggest that two models have high probability given the data. Each of these models includes population divergence and estimates of ancestral θ that differ from estimates of descendent θ, inferences consistent with prior work in this system. However, the models disagree in that one includes migration as a parameter and one does not, suggesting that there are two regions of parameter space that produce model likelihoods that are similar in magnitude given our data. Results of a simulation study suggest that when data are simulated with migration, most of the optimal models include migration as a parameter, and further that when all of the shared polymorphism results from incomplete lineage sorting, most of the optimal models do not. The results could also indicate a lack of precision, which may be a product of the amount of data that we have collected. In any case, the information‐theoretic metrics that we have applied to the analysis of our data are statistically rigorous, as are hypothesis‐testing approaches, but move beyond the ‘reject/fail to reject’ dichotomy of conventional hypothesis testing in a manner that provides considerably more flexibility to researchers.     

Multiple gene genealogies and AFLPs suggest cryptic speciation and long-distance dispersal in the basidiomycete Serpula himantioides (Boletales)

Serpula himantioides (Boletales, Basidiomycota) produces thin resupinate basidiocarps on dead coniferous wood worldwide and causes damage in buildings as well. In this study, we present evidence for the existence of at least three phylogenetically defined cryptic species (referred to as Sib I-III) within the morphospecies S. himantioides, a conclusion based on analyses of sequence data from four DNA regions and amplified fragment length polymorphisms (AFLPS). A low degree of shared sequence polymorphisms was observed among the three lineages indicating a long-lasting separation. The AFLPs revealed two additional subgroups within Sib III. Results from mating studies were consistent with the molecular data. In Sib III, no correspondence between genetic and geographical distance was observed among isolates worldwide, presumably reflecting recent dispersal events. Our results indicate that at least two of the lineages (Sib II and Sib III) have wide sympatric distributions. A population genetic analysis of Sib III isolates, scoring sequence polymorphisms as codominant SNP markers, indicates that panmictic conditions exist in the Sib III group. This study supports the view that cryptic speciation is a common phenomenon in basidiomycete fungi and that phylogenetic species recognition can be a powerful inference to detect cryptic species. Furthermore, this study shows that AFLP data are a valuable supplement to DNA sequence data in that they may detect a finer level of genetic variation.