DNA fingerprinting analysis of Booroola pedigrees: a search for linkage to the Booroola gene

Seven minisatellite probes from a variety of sources were used to analyse 11 paternal half-sib families in which the Booroola gene was segregating. A total of 402 bands that showed segregation in the pedigrees were examined for linkage to the Booroola gene. None of the bands showed segregation with the Booroola gene. The most likely evidence for a linked band was produced by the HaRas HVR probe in Family 902 (=0.0; LOD 2.3). The conclusion, however, is that the minisatellite probes used in this study could not be used as markers for the Booroola gene. The study highlighted problems associated with the use of minisatellite probes in linkage studies in half-sib families. The complex banding patterns found on fingerprinting gels was a major source of scoring error. In a few cases both of the sire's alleles could be identified at a particular locus, but in most cases only one of the alleles could be identified. For the most part, the bands had to be treated as dominant alleles. The contribution of dam alleles to the banding pattern could only be estimated. There was an indication that minisatellite loci in sheep are clustered in particular regions of the sheep genome as the rate at which bands segregated with each other was higher than one would expect from loci randomly distributed throughout the genome.     

A deterministic analysis of self-incompatibility alleles

A number of plant species have a self-incompatibility locus that prevents self-fertilization. We 'analyse a deterministic model with an arbitrary number of alleles. We prove that the only polymorphic equilibrium is the one for which all (heterozygous) genotypes are equally frequent, and we prove that all (initially) polymorphic populations converge to this equilibrium.     

Initial soil organic carbon stocks govern changes in soil carbon: Reality or artifact?

Changes in soil organic carbon (SOC) storage have the potential to affect global climate; hence identifying environments with a high capacity to gain or lose SOC is of broad interest. Many cross-site studies have found that SOC-poor soils tend to gain or retain carbon more readily than SOC-rich soils. While this pattern may partly reflect reality, here we argue that it can also be created by a pair of statistical artifacts. First, soils that appear SOC-poor purely due to random variation will tend to yield more moderate SOC estimates upon resampling and hence will appear to accrue or retain more SOC than SOC-rich soils. This phenomenon is an example of regression to the mean. Second, normalized metrics of SOC change—such as relative rates and response ratios—will by definition show larger changes in SOC at lower initial SOC levels, even when the absolute change in SOC does not depend on initial SOC. These two artifacts create an exaggerated impression that initial SOC stocks are a major control on SOC dynamics. To address this problem, we recommend applying statistical corrections to eliminate the effect of regression to the mean, and avoiding normalized metrics when testing relationships between SOC change and initial SOC. Careful consideration of these issues in future cross-site studies will support clearer scientific inference that can better inform environmental management.     

Eco-evolution from deep time to contemporary dynamics: The role of timescales and rate modulators

Eco-evolutionary dynamics, or eco-evolution for short, are often thought to involve rapid demography (ecology) and equally rapid heritable phenotypic changes (evolution) leading to novel, emergent system behaviours. We argue that this focus on contemporary dynamics is too narrow: Eco-evolution should be extended, first, beyond pure demography to include all environmental dimensions and, second, to include slow eco-evolution which unfolds over thousands or millions of years. This extension allows us to conceptualise biological systems as occupying a two-dimensional time space along axes that capture the speed of ecology and evolution. Using Hutchinson's analogy: Time is the ‘theatre’ in which ecology and evolution are two interacting ‘players’. Eco-evolutionary systems are therefore dynamic: We identify modulators of ecological and evolutionary rates, like temperature or sensitivity to mutation, which can change the speed of ecology and evolution, and hence impact eco-evolution. Environmental change may synchronise the speed of ecology and evolution via these rate modulators, increasing the occurrence of eco-evolution and emergent system behaviours. This represents substantial challenges for prediction, especially in the context of global change. Our perspective attempts to integrate ecology and evolution across disciplines, from gene-regulatory networks to geomorphology and across timescales, from today to deep time.     

Genomic insights into selection for heterozygous alleles and woody traits in Populus tomentosa

Heterozygous alleles are widespread in outcrossing and clonally propagated woody plants. The variation in heterozygosity that underlies population adaptive evolution and phenotypic variation, however, remains largely unknown. Here, we describe a de novo chromosome-level genome assembly of Populus tomentosa, an economic and ecologically important native tree in northern China. By resequencing 302 natural accessions, we determined that the South subpopulation (Pop_S) encompasses the ancestral strains of P. tomentosa, while the Northwest subpopulation (Pop_NW) and Northeast subpopulation (Pop_NE) experienced different selection pressures during population evolution, resulting in significant population differentiation and a decrease in the extent of heterozygosity. Analysis of heterozygous selective sweep regions (HSSR) suggested that selection for lower heterozygosity contributed to the local adaptation of P. tomentosa by dwindling gene expression and genetic load in the Pop_NW and Pop_NE subpopulations. Genome-wide association studies (GWAS) revealed that 88 single nucleotide polymorphisms (SNPs) within 63 genes are associated with nine wood composition traits. Among them, the selection for the homozygous AA allele in PtoARF8 is associated with reductions in cellulose and hemicellulose contents by attenuating PtoARF8 expression, and the increase in lignin content is attributable to the selection for decreases in exon heterozygosity in PtoLOX3 during adaptive evolution of natural populations. This study provides novel insights into allelic variations in heterozygosity associated with adaptive evolution of P. tomentosa in response to the local environment and identifies a series of key genes for wood component traits, thereby facilitating genomic-based breeding of important traits in perennial woody plants.     

Rapid assessment of single-copy nuclear DNA variation in diverse species

We investigated the use of PCR primers designed to conserved exons within nuclear DNA to amplify potentially variable regions such as introns or hypervariable exons from a wide range of species. We then explored various approaches to assay population-level variation in these PCR products. Primers designed to amplify regions within the histone H2AF, myoglobin , MHC DQA , and aldolase (ALD) genes gave clean amplifications in diverse mammals (DQA) , and in birds, reptiles and mammals ( aldolase, H2AF, myoglobin ). The sequenced PCR products generally, but not always, confirmed that the correct locus had been amplified. Several primer sets produced smaller size fragments consistent with preferential amplification of intronless pseudogenes; this was confirmed by sequencing seal and reptile H2AF PCR products. Digestion with randomly selected four-base recognizing enzymes detected variation in some cases but not in others. In species/gene combinations with either low (e.g. seal H2AF, ALD-A ) or high (e.g. skink ALD-1 ) nucleotide diversity it was more efficient to sequence a small number of distantly related individuals (e.g. one per geographic population) and from these data to identify informative or potentially informative restriction enzymes for 'targeted' digestion. We conclude that for studies of population-level variation, the optimal approach is to use a battery of primers for initial PCR of both mtDNA and scnDNA loci, select those that give clean amplifications, and sequence one sample from each population to (i) confirm gene identity, (ii) estimate the amount of variation and, (iii) search for diagnostic restriction sites. This will allow determination of the most efficient approach for a large-scale study.     

Using molecular and ecological data to diagnose endangered populations of the puritan tiger beetle Cicindela puritana

Populations of the puritan tiger beetle Cicindela puritana in the eastern United States were found to be highly threatened at the Connecticut River, whereas several large populations on the western shore and newly discovered populations on the eastern shore of the Chesapeake Bay appeared to be less endangered. We assessed if the disjunct C. puritana subgroups are genetically distinct and therefore should be treated as separate units for conservation purposes. A total of 13 individuals from the Connecticut River and 27 individuals from the Chesapeake Bay were each analysed by sequencing of up to 837 base pairs of mitochondrial DNA per individual. Five different haplotypes could be distinguished. In a phylogenetic analysis of these DNA sequences that included four related Cicindela species as out-groups, haplotypes from the Chesapeake Bay represent a distinct clade. The conservation status of these populations was evaluated using a phylogenetic approach based on cladistic analysis and the framework of the phylogenetic species concept. According to this analysis, beetles from the Connecticut River and the Chesapeake Bay have to be considered as independent units. Populations from the eastern and western shore of Chesapeake Bay are not split in more than one unit using the same criteria, although they exhibited some degree of genetic subdivision. The results from the mtDNA analysis were corroborated by ecological parameters in that the Chesapeake Bay populations can be distinguished from all congeners by their different tat association.