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Kirkland, C.

Publications and source records attributed to Kirkland, C..

2 recordsLinked to original sources

Chromosome-level genomics and historical museum collections reveal new insights into the population structure and chromosome evolution of waterbuck

Advances in the sequencing and assembly of chromosome-level genome assemblies has enabled the study of non-model animals, providing further insights into the evolution of genomes and chromosomes. Here, we present the waterbuck (Kobus ellipsiprymnus) as an emerging model antelope for studying population dynamics and chromosome evolution. Antelope evolutionary history has been shaped by Robertsonian (Rb) fusions, with waterbuck also showing variation in karyotype due to two polymorphic Rb fusions. These polymorphisms are variable between and within the two recognised subspecies, the common and defassa waterbuck. To provide new insights into waterbuck evolution, we firstly assembled a chromosome-level genome assembly for the defassa subspecies using PacBio HiFi and Hi-C sequencing. We then utilised museum collections to carry out whole genome sequencing (WGS) of 24 historical waterbuck skins from both subspecies. Combined with a previous WGS dataset (n = 119), this represents the largest study of waterbuck populations to date. We found novel population structure and gene flow between waterbuck populations and regions across the genome with high genomic differentiation between the two subspecies. Several of these regions were found around the centromeres of fixed and polymorphic Rb fusions, exhibiting signatures of low recombination and local population structure. Interestingly, these regions contain genes involved in development, fertility, and recombination. Our results highlight the importance of assembling genomes to the chromosome-level, the utility and value of historical collections in sampling a wide-ranging species to uncover fine-scale population structure, and the potential impacts of Rb fusions on genomic differentiation and the recombination landscape.

evolutionary biology↗

Structure, substrate selectivity determinants and membrane interactions of a Glutamate-specific TAXI TRAP binding protein rom Vibrio cholerae.

Tripartite ATP independent periplasmic (TRAP) transporters are widespread in prokaryotes and are responsible for the transport of a variety of different ligands, primarily organic acids. TRAP transporters are secondary active transporters that employ a substrate binding protein to bind and present the substrate to membrane embedded translocation component. TRAP transporters can be divided into two subclasses; DctP-type and TAXI type, which share the same overall architecture and requirement of the SBP for transport, but their SBPs share no similarity. The DctP-type transporters are very well studied and have been shown to transport a range of compounds including dicarboxylates, keto acids, sugar acids. However, the TAXI type transporters are relatively poorly understood, with the range of transportable compounds still to be discovered and selectivity requirements for binding unknown. To address these shortfalls in our understanding, we have structurally and biochemically characterized VC0430 from Vibrio cholerae revealing it to be a monomeric high affinity glutamate binding protein. VC0430 is stereoselective, binding the L-isomer preferentially, and can also bind L-glutamine and L-pyroglutamate, but with low affinity relative to L-glutamate. Structural characterization of ligand bound VC0430 reveals details of the binding site and biophysical characterization of binding site mutant reveal the substrate binding determinants, which differ substantially from the DctP-type TRAPs. Finally, we have analysed in silico the interaction between VC0430 and its cognate membrane component revealing an architecture hitherto unseen. To our knowledge, this is the first transporter in V. cholerae to be identified as specific to glutamate, which plays a key role in osmoadaptation of V. cholerae, making this transporter a potential therapeutic target.

biochemistry↗