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Biology subjects

Whiteford, S.

Publications and source records attributed to Whiteford, S..

4 recordsLinked to original sources

The evolution of novel biotic interactions at ecological margins in response to climate change involves alleles from across the geographical range of the UK Brown Argus butterfly

Understanding the rate and extent to which populations can adapt to novel environments at their ecological margins is fundamental to predicting the persistence of biological communities during ongoing and rapid global change. Recent range expansion in response to climate change in the UK butterfly Aricia agestis is associated with the evolution of novel interactions with a larval food plant, and the loss of its ability to use its ancestral larval host species. Using ddRAD analysis of 61210 variable SNPs from 261 females from throughout the UK range of this species, we identify genomic regions at multiple chromosomes that are associated with these evolutionary responses, and their association with demographic history and ecological variation. Gene flow appears widespread throughout the range, despite the apparently fragmented nature of the habitats used by this species. Patterns of haplotype variation between selected and neutral genomic regions suggest that evolution associated with climate adaptation is polygenic, resulting from the independent spread of existing alleles throughout the established range of this species, rather than the colonisation of pre-adapted genotypes from coastal populations. These data suggest that rapid responses to climate change do not depend on the availability of pre-adapted genotypes. Instead, the evolution of novel forms of biotic interaction in Aricia agestis has occurred during range expansion, through the assembly of novel genotypes from alleles from multiple localities.

evolutionary biology↗

White pupae genes in the Tephritids Ceratitis capitata, Bactrocera dorsalis and Zeugodacus cucurbitae: a story of parallel mutations

Mass releases of sterilized male insects, in the frame of sterile insect technique programs, have helped suppress insect pest populations since the 1950s. In the major horticultural pests Bactrocera dorsalis, Ceratitis capitata, and Zeugodacus cucurbitae, a key phenotype white pupae (wp) has been used for decades to selectively remove females before releases, yet the gene responsible remained unknown. Here we use classical and modern genetic approaches to identify and functionally characterize causal wp− mutations in these distantly related fruit fly species. We find that the wp phenotype is produced by parallel mutations in a single, conserved gene. CRISPR/Cas9-mediated knockout of the wp gene leads to the rapid generation of novel white pupae strains in C. capitata and B. tryoni. The conserved phenotype and independent nature of the wp− mutations suggest that this technique can provide a generic approach to produce sexing strains in other major medical and agricultural insect pests.Competing Interest StatementThe authors have declared no competing interest.View Full Text

genetics↗

Recovering individual haplotypes and a contiguous genome assembly from pooled long read sequencing of the diamondback moth (Lepidoptera: Plutellidae)

BackgroundRecent advances in genomics have addressed the challenge that divergent haplotypes pose to the reconstruction of haploid genomes. However for many organisms, the sequencing of either field-caught individuals or a pool of heterogeneous individuals is still the only practical option. Here we present methodological approaches to achieve three outcomes from pooled long read sequencing: the generation of a contiguous haploid reference sequence, the sequences of heterozygous haplotypes; and reconstructed genomic sequences of individuals related to the pooled material. ResultsPacBio long read sequencing, Dovetail Hi-C scaffolding and linkage map integration yielded a haploid chromosome-level assembly for the diamondback moth (Plutella xylostella), a global pest of Brassica crops, from a pool of related individuals. The final assembly consisted of 573 scaffolds, with a total assembly size of 343.6Mbp a scaffold N50 value of 11.3Mbp (limited by chromosome size) and a maximum scaffold size of 14.4Mbp. This assembly was then integrated with an existing RAD-seq linkage map, anchoring 95% of the assembled sequence to defined chromosomal positions. ConclusionsWe describe an approach to resolve divergent haplotype sequences and describe multiple validation approaches. We also reconstruct individual genomes from pooled long-reads, by applying a recently developed k-mer binning method.

genomics↗

Recombinant Expression of Aldehyde Dehydrogenase 2 (ALDH2) in Escherichia coli Nissle 1917 for Oral Delivery in ALDH2-Deficient Individuals

Turning red after consuming alcohol may seem like a mere social inconvenience. Yet, this flushing response is caused by an accumulation of acetaldehyde, a carcinogenic intermediate of alcohol metabolism. Aldehyde dehydrogenase 2 (ALDH2) deficiency, the result of a point mutation, produces a less efficient ALDH2. The resulting accumulation of acetaldehyde greatly increases the risk of developing esophageal and head and neck cancers. In this study, we produced recombinant ALDH2 in the probiotic E. coli Nissle 1917, which successfully reduces acetaldehyde levels in simulated oral conditions. Packaged in a hard candy, the ALDH2-probiotic would remain in the mouth to specifically target salivary acetaldehyde. Using mathematical modeling, we also determined how much recombinant ALDH2 is needed to reduce elevated acetaldehyde levels.\n\nFinancial DisclosureThis work was funded by Taipei American School. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.\n\nCompeting InterestsThe authors have declared that no competing interests exist.\n\nEthics StatementN/A\n\nData AvailabilityYes - all data are fully available without restriction. Sequences for the plasmids used in this study are available through the Registry of Standard Biological Parts. Links to raw data are included in Supplementary Information.

synthetic biology↗