Biology subjects

Carter, J. E.

Publications and source records attributed to Carter, J. E..

4 recordsLinked to original sources

bioRxiv2025

Wavelet Based Whole Genome Doubling Aware Single Cell Copy Number Calling

Advances in single cell whole genome sequencing enable profiling of the copy number state of thousands of cells with minimal sequencing bias across the genome. The Direct Library Preparation + technique is an whole genome amplification-free single cell whole genome sequencing method that achieves high throughput by fragmenting each cells genome and ligating sequencing adapters using a modified Tn5 transposase, and sequencing to less than 0.1x coverage. Despite recent advances in experimental approaches, data analysis of single cell whole genome sequencing lags behind and the existing methods are not optimized for the analysis of frozen samples with variable DNA preservation. Furthermore, existing tools predominantly rely on read depth ratio in predefined genomic bins to call copy number, making whole genome duplication unidentifiable. To address this, we introduce Songbird, a single cell whole genome sequencing copy number caller that is whole genome duplication sensitive, and outperforms existing tools both in breakpoints identification and true copy number detection. We demonstrate that Songbird is robust down to extremely low coverage, adaptable to a variety of genome versions (hg19, hg38, hs.1), and is extensible to other single cell whole genome sequencing methods that rely on Tn5 tagmentation to fragment the genome.

bioinformatics↗

bioRxiv2022

Helicobacter chronic stage inflammation undergoes fluctuations that are altered in tlpA mutants

Helicobacter pylori colonizes half of the worlds population and is responsible for a significant disease burden by causing gastritis, peptic ulcers, and gastric cancer. The development of host inflammation drives these diseases, but there are still open questions in the field about how H. pylori controls this process. We characterized H. pylori inflammation using an eight month mouse infection time course and comparison of wild type and a previously identified mutant lacking the TlpA chemoreceptor that causes elevated inflammation. Our work shows that H. pylori chronic stage corpus inflammation undergoes surprising fluctuations, with changes in Th17 and eosinophil numbers. The H. pylori tlpA mutant changed the inflammation temporal characteristics, resulting in different inflammation from wild type at some time points. tlpA mutants have equivalent total and gland colonization at late stage infections. During early infection, in contrast, they show elevated gland and total colonization compared to WT. Our results suggest the chronic inflammation setting is dynamic, and may be influenced by colonization properties of early infection. ImportanceHelicobacter pylori established chronic infection in half of the worlds population. This infection initiates during childhood, and leads to later life gastric diseases including gastritis, peptic ulcers, and gastric cancer. These diseases are driven by host inflammation, with more severe inflammation leading to more severe disease. It is not fully understood how H. pylori controls inflammation. In this work, we used an H. pylori mouse infection model and characterized inflammation and colonization of wild-type H. pylori and a mutant that was known to cause elevated inflammation. We found that inflammation in the chronic stage undergoes surprising fluctuations, with related changes in Th17 numbers. H. pylori tlpA mutants caused offset inflammation dynamics, suggesting that H. pylori infection underlies this dynamism. Although there were not colonization dynamics at the time of inflammation fluctuations, there were differences between WT and tlpA mutant colonization at early time points. Our results suggest the chronic inflammation setting is more dynamic than previously thought and may be influenced by colonization properties of early infection.

microbiology↗

bioRxiv2021

Sea Surface Temperatures Drive Historical Demography of Deep-Sea Fishes

Demographic histories are largely understood to be a product of their environment, as populations expand or contract in response to major environmental changes. Deep-pelagic fishes inhabit one of the most temporally and spatially stable habitats on the planet, so they may be resistant to the demographic instability commonly reported in other marine habitats, but their demographic histories are poorly understood. We reconstructed the demographic histories of thirteen species of deep-pelagic fishes using mitochondrial and nuclear DNA sequence data. We uncovered widespread evidence of demographic expansion in our study species, a counterintuitive result bases on the nature of the deep-pelagic. The frequency-based methods detected potential demographic changes in eleven species, while the Extended Bayesian Skyline Plots were more conservative and identified population expansion in five species. The dates of expansion largely coincide with periods of warm sea-surface temperature at the northern and southern boundaries for the ranges these species inhabit. We suggest that this is the result of the pelagic larval phase shared by most deep-pelagic fishes, where the larvae inhabit the upper 200 meters. Changes in sea surface conditions likely alter the suitability of the habitat in a given region for the larval phase, affecting the species range and in turn population size. These results are critical to our understanding of how the deep-pelagic fish community will respond to future climatic changes.

evolutionary biology↗

bioRxiv2018

Multiple Introductions of the Mycobacterium tuberculosis Lineage 2 Beijing into Africa over centuries

The Lineage 2-Beijing (L2-Beijing) sub-lineage of Mycobacterium tuberculosis has received much attention due to its high virulence, fast disease progression, and association with antibiotic resistance. Despite several reports of the recent emergence of L2-Beijing in Africa, no study has investigated the evolutionary history of this sub-lineage on the continent. In this study, we used whole genome sequences of 817 L2 clinical strains from 14 geographical regions globally distributed to investigate the origins and onward spread of this lineage in Africa. Our results reveal multiple introductions of L2-Beijing into Africa linked to independent bacterial populations from East-and Southeast Asia. Bayesian analyses further indicate that these introductions occurred during the past 300 years, with most of these events pre-dating the antibiotic era. Hence, the success of L2-Beijing in Africa is most likely due to its hypervirulence and high transmissibility rather than drug resistance.

evolutionary biology↗