Adaptive and purifying selection in island and mainland plant species

Lead Research Organisation: University of Oxford
Department Name: Plant Sciences

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Technical Summary

The actual proportion of genes under adaptive selection and the proportion of amino acid replacements fixed by positive selection is unknown and hotly debated in the scientific literature (Smith and Eyre-Walker 2002; Fay et al 2002; Ohta 2002). The estimate of the number of genes under adaptive selection was recently obtained for Drosophila and humans (Smith and Eyre-Walker 2002; Fay et al 2001); but no estimates are available for plant genomes and our study will fill this gap. The action of natural selection during adaptive radiations is almost completely unstudied and Hawaiian endemic plant genera provide an opportunity to shed light on this question. To study the action of natural selection in island versus mainland plant species we will use both population genetic and phylogenetic approaches to compare the patterns of intraspecific DNA diversity and interspecific divergence in species from the endemic Hawaiian plant genus Schiedea and the mainland plant genus Silene. The two genera belong to the same family (Caryophyllaceae) and are relatively closely related (silent divergence approximately 30 per cent). During our previous work over 300 Silene latifolia genes have been sequenced. Using PCR primers for Silene latifolia genes we will isolate 25-30 protein-coding genes from Schiedea. The use of Silene primers in Schiedea has proved to work well: in our preliminary experiments eight out of twelve genes amplified successfully. For the molecular phylogenetic analysis the homologous Schiedea and Silene genes will be sequenced in ten morphologically and ecologically different Schiedea species and from five mainland and one Hawaiian endemic Silene species. These sequences will be used to estimate the silent non-silent substitution rates and infer the intensity of adaptive and purifying selection in the island Schiedea and mainland Silene species. To distinguish the effects of positive and negative selection, we will use codon-based maximum likelihood analysis, allowing for variable selective pressures across the codons (Yang et al 2000). For the population genetics analysis the same set of genes will be sequenced in 20 Schiedea globosa and 20 Silene latifolia individuals, which will allow us to study the action of natural selection at the population level.

Publications

10 25 50
 
Description The project aimed to study natural selection during rapid adaptive radiations, using Hawaiian endemic genus Schiedea as a model. Our results met all of the original objectives and went significantly further than planned originally. In particular, we used next generation sequencing to obtain a wider set of cDNA sequences for Schiedea globosa, which was crucial for isolation of homologous genes with known function from over 20 Schiedea species. These sequences allowed us to compare the strength of natural selection in Schiedea to several other plant genera; interestingly, only the Hawaiian endemic Schiedea showed some signs of adaptive selection, while no adaptation at the molecular level was detected in other plants. (Gossmann et al. 2010 doi:10.1093/molbev/msq079). This was confirmed by more detailed analyses within Schiedea, which revealed much more widespread adaptive evolution in Schiedea genes, compared to other plant genera, indicating that despite relatively small population sizes in these island endemics, strong selective pressure to adapt to a range of new environments has dominated Schiedea evolution during recent species diversification in this genus (Kapralov et al 2013 doi: 10.1093/molbev/mst013). Our results support long-assumed but never tested conjecture that rapid species diversifications are likely to be driven by strong selection to adapt to new niches that happen to be vacant on remote oceanic islands.
Furthermore, in addition to valuable data and publications described above we released a major update for the DNA sequence processing and analysis software that significantly simplifies handling of large multigenic datasets (Filatov 2009 10.1093/bioinformatics/btp572).
Exploitation Route The evolutionary processes underpinning rapid adaptive radiations are poorly studied (not least because samples from endemics of remote islands are difficult to obtain), and our study provided the first valuable information shedding light on this question. Furthermore, it generated genomic resources for a non-model organism and yielded a computational tool that is likely be useful for others in the field.
Sectors Environment

 
Description John Fell fund small award
Amount £7,500 (GBP)
Organisation University of Oxford 
Sector Academic/University
Country United Kingdom
Start 02/2017 
End 10/2017