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Biology subjects

Simpson, D. J.

Publications and source records attributed to Simpson, D. J..

6 recordsLinked to original sources

Does strain-level persistence of lactobacilli in long term back-slopped sourdoughs inform on domestication of food-fermenting lactic acid bacteria?

Sourdoughs are maintained by back-slopping over long time periods. To determine strain-level persistence of bacteria, we characterized 4 sourdoughs from three bakeries over a period of 3.3, 11, 18 and 19 years. One sourdough included isolates of Levilactobacillus spp. and Fructilactobacillus spp. that differed by fewer than 10 SNPs from the isolates obtained 3.3 years earlier and thus likely represent the same strain. Isolates of Lv. parabrevis differed by 200 - 300 SNPs, their genomes were under positive selection, indicating transmission from an external source. In two other sourdoughs, isolates of Fl. sanfranciscensis that were obtained 11 and 18 years apart differed by 19 and 29 SNPs, respectively, again indicating repeated isolation of the same strain. The isolate of Fl. sanfranciscensis from the fourth sourdough differed by 45 SNPs from the isolate obtained 19 years prior. We thus identified strain-level persistence in 3 out of 4 long-term back-slopped sourdoughs, making it possible that strains persisted over periods that are long enough to allow bacterial speciation and domestication. ImportanceThe assembly of microbial communities in sourdough is shaped by dispersal and selection. Speciation and domestication of fermentation microbes in back-slopped food fermentations has been documented for food fermenting fungi including sourdough yeasts but not for bacteria, which evolve at a slower rate. Bacterial speciation in food fermentations requires strain-level persistence of fermentation microbes over hundreds or thousands of years. By documenting strain-level persistence in three out of four sourdoughs over a period of up to 18 years, we demonstrate that persistence over hundreds or thousands of years is possible. We thus not only open a new perspective on fermentation control in bakeries but also support the possibility that all humans, despite their cultural diversity, share the same fermentation microbes.

microbiology↗

Probabilistic inference of epigenetic age acceleration from cellular dynamics

The emergence of epigenetic predictors was a pivotal moment in geroscience, propelling the measurement and concept of biological ageing into a quantitative era. However, while current epigenetic clocks have shown strong predictive power, they do not reflect the underlying biological mechanisms driving methylation changes with age. Consequently, biological interpretation of their estimates is limited. Furthermore, our findings suggest that clocks trained on chronological age are confounded by non-age-related phenomena. To address these limitations, we developed a probabilistic model that describes methylation transitions at the cellular level. Our approach reveals two measurable components, acceleration and bias, that directly relate to perturbations of the underlying cellular dynamics. Acceleration is the proportional increase in the speed of methylation transitions across CpG sites, whereas bias is the degree of global change in methylation affecting all CpG sites uniformly. Using data from 7,028 participants from the Generation Scotland study, we found the age acceleration parameter to be associated with physiological traits known to impact healthy ageing. Furthermore, a genome-wide association study of age acceleration identified four genomic loci previously linked with ageing.

cell biology↗

Region-Based Epigenetic Clock Design Improves RRBS-Based Age Prediction

Recent studies suggest that epigenetic rejuvenation can be achieved using drugs that mimic calorie restriction and techniques such as reprogramming induced rejuvenation. To effectively test rejuvenation in vivo, mouse models are the safest alternative. However, we have found that the recent epigenetic clocks developed for mouse reduced-representation bisulphite sequencing (RRBS) data have significantly poor performance when applied to external datasets. We show that the sites captured and the coverage of key CpGs required for age prediction vary greatly between datasets, which likely contributes to the lack of transferability in RRBS clocks. To mitigate these coverage issues in RRBS-based age prediction, we present two novel design strategies that use average methylation over large regions rather than individual CpGs, whereby regions are defined by sliding windows (e.g. 5 kb), or density-based clustering of CpGs. We observe improved correlation and error in our regional blood clocks (RegBCs) compared to published individual-CpG-based techniques when applied to external datasets. The RegBCs are also more robust when applied to low coverage data and detect a negative age acceleration in mice undergoing calorie restriction. Our RegBCs offer a proof of principle that age prediction of RRBS datasets can be improved by accounting for multiple CpGs over a region, which negates the lack of read depth currently hindering individual-CpG-based approaches.

bioinformatics↗

Tfap2b specifies an embryonic melanocyte stem cell population that retains adult multi-fate potential

Melanocytes, our pigment producing cells, are replenished from multiple stem cell niches in adult tissues. Although pigmentation traits are known risk-factors for melanoma, we know little about melanocyte stem cell (McSC) populations other than hair follicle McSCs, and lack key lineage markers with which to identify McSCs and study their function. Here, we discover that Tfap2b, and a select set of its target genes, specifies an McSC population at the dorsal root ganglia in zebrafish. Functionally, Tfap2b is required for only a few late-stage embryonic melanocytes, and instead is essential for McSC-dependent melanocyte regeneration. Fate- mapping data reveal that tfap2b-expressing McSCs have multi-fate potential, and are the cell-of- origin for large patches of adult melanocytes, and two other pigment cell types, iridophores and xanthophores. Hence, Tfap2b confers McSC identity in early development, thereby distinguishing McSCs from other neural crest and pigment cell lineages, and retains multi-fate potential in the adult zebrafish. HighlightsO_LITfap2b and its target genes specify McSCs with mixed pigment cell identities C_LIO_LIFunctional dependence on Tfap2b for melanocyte regeneration from the McSC C_LIO_LItfap2b specifies ErbB-dependent McSCs at the stem cell niche C_LIO_LIFate mapping reveals Tfap2b-McSCs have multi-fate potential for adult pigment cells C_LI

developmental biology↗

Kidney single-cell atlas reveals myeloid heterogeneity in progression and regression of kidney disease.

The kidney has a limited capacity to repair following injury, however, the endogenous reparative pathways are not well understood. Here we employ integrated droplet- and plate-based scRNA-seq in the murine reversible unilateral ureteric obstruction model to dissect the transcriptomic landscape at the single cell level during renal injury and resolution of fibrosis. We generate a comprehensive catalogue of the changes induced during injury and repair, revealing significant myeloid cell heterogeneity, which would not have been identifiable by conventional flow cytometry. We identify new markers for the myeloid populations within the kidney as well as identification of novel subsets including an Arg1+ monocyte population specific to early injury and a Mmp12+ macrophage subset exclusive to repair. Finally, using paired blood exchange to track circulating immune cells, we confirm that monocytes are recruited to the kidney early after injury and are the source of Ccr2+ macrophages that accumulate in late injury. Our data demonstrate the utility of complementary technologies to identify novel myeloid subtypes that may represent therapeutic targets to inhibit progression or promote regression of kidney disease.

immunology↗

Partial reprogramming induces a steady decline in epigenetic age before loss of somatic identity

Induced pluripotent stem cells (IPSCs), with their unlimited regenerative capacity, carry the promise for tissue replacement to counter age-related decline. However, attempts to realise in vivo iPSC have invariably resulted in the formation of teratomas. Partial reprogramming in prematurely aged mice has shown promising results in alleviating age-related symptoms without teratoma formation. Does partial reprogramming lead to rejuvenation (i.e. \"younger\" cells), rather than dedifferentiation, which bears the risk of cancer? Here we analyse the dynamics of cellular age during human iPSC reprogramming and find that partial reprogramming leads to a reduction in the epigenetic age of cells. We also find that the loss of somatic gene expression and epigenetic age follow different kinetics, suggesting that they can be uncoupled and there could be a safe window where rejuvenation can be achieved with a minimised risk of cancer.

developmental biology↗