Paper published!

I’m thrilled to share that our paper on the Evolutionary dynamics of bacteria in the gut microbiome within and across hosts is now published in PLoS Biology!

What is the paper about?

The human gut microbiome is comprised of a complex ecosystem of microbes that reside inside of us and play an important role in our health. With as many as a billion new mutations entering our microbiomes per day, bacterial genomes inside us have a great opportunity to evolve rapidly, unlike our own genomes, which change very little throughout our lifetimes. For us humans, this genetic dynamism is both an opportunity (e.g., enabling digestion of new foods) and a challenge (e.g. the evolution of drug resistance). Despite the potential importance of these effects, we currently know very little about if and how bacteria living in us evolve. In our recent work, we quantify the evolutionary dynamics of ~40 prevalent species of gut bacteria. We find that gut bacteria can evolve within humans on short timescales (~6 months), but over our lifetimes resident bacteria are typically replaced by distantly related strains. These results suggest that gut bacteria can evolve on human-relevant timescales, but that there are limits to the extent of local adaptation.

Isabel Gordo wrote a very nice perspective featuring our work.

Eco-Evo symposium at the Gulbenkian

I had the pleasure of presenting my work on the evolutionary dynamics of bacteria in the human gut at the IGC symposium at the Gulbenkian near Lisbon. Here is a sketch of the me and the other speakers in my session by the talented @CireniaSketches!

Evolutionary dynamics of bacteria in the gut microbiome — revision posted!

Happy to share that I have revised my manuscript on the Evolutionary dynamics of bacteria in the gut microbiome within and across hosts with my colleagues Benjamin Good, Oskar Hallatschek, and Katherine Pollard. Please see the latest on bioRxiv.

My talented colleague, Alison Feder, drew a graphical abstract of my paper!

nandita_notes

Detection and classification of hard and soft sweeps from unphased genotypes by multilocus genotype identity

I am excited to share a new bioRxiv preprint on detecting and classifying hard and soft sweeps from unphased population genomic data, co-authored with Alexandre Harris and Michael DeGiorgio from Penn State University. One challenge with working with non-model eukaryotic organisms is that genomic data is often unphased, and therefore it is difficult to apply statistics intended for phased data. Here, we introduce the G12 and G123 statistics for detecting hard and soft sweeps from unphased data. These statistics are analogs to the H12 statistic for phased data (Garud et al. 2015). We also introduce G2/G1 to classify hard and soft sweeps analogously to H2/H1, conditional on a genomic region having high G12 and G123 values.

Please visit my github repository for code to compute H12, H123, H2/H1, G12, G123, and G2/G1:

Below: A visual depiction of H12 and G123.

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New York Area Population Genomics Meeting

I will be presenting my latest paper on the evolution of bacteria in the gut microbiome at the New York Area Population Genomics Meeting at Cold Spring Harbor.

Bacteria in the microbiome can potentially respond to selective pressures in many ways. One possible mechanism could be via a change in the relative abundances of species. Alternatively, a better fit strain could invade the population. Or, a pre-existing strain could evolve an adaptive mutation. Although differences in species abundances and the genetic composition between samples has been well-studied, little is known about whether lineages within a healthy host can evolve. Here is a preview of the hypotheses I will be addressing in my talk!

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Gladstone Career Advancement Award

I am honored to receive the Gladstone Institutes Career Advancement Award.

Evolutionary dynamics of bacteria in the gut microbiome within and across hosts

I recently posted a preprint of my work with Benjamin Good, Oskar Hallatschek, and Katherine Pollard on the evolutionary dynamics of bacteria in the gut microbiome within and across hosts on BioRxiv. In this paper, we use a model-based approach to analyze shotgun metagenomic data to reveal evolutionary forces that operate in the gut microbiome. We offer empirical evidence that gut bacteria evolve within healthy human hosts, and we find that between-host genealogical patterns challenge existing population genetic models of quasi-sexual evolution.

We welcome your feedback on the paper.

Cal Academy of Science talk

I recently gave an outreach talk at the California Academy of Sciences Women in Science Nightlife event on why understanding evolution in the human gut microbiome is important for connecting the  microbiome to our health.

SMBE symposium: Probing microbiome dynamics

I will be co-chairing a symposium at the 2017 Society for Molecular Biology and Evolution in Austin TX with my colleague, Sharon Greenblum, on ‘Probing microbiome dynamics.’ We look forward to receiving abstracts on how evolutionary and ecological forces have shaped diversity in the microbiome.

Symposium abstract:

Microbiomes are comprised of many bacterial species with complex interactions and dependencies between community members. Adaptation of microbiomes to rapidly fluctuating environments can result in changes in species diversity and composition, as has been observed in patients with Crohn’s disease and asthma. Individual species within the microbiome experience adaptation too, as evidenced by single-species studies of adaptation in response to specific conditions, for example the evolution of Burkholderia dolosa over the course of an outbreak, or the virulent transformations of E. coli in response to nutrient limi-tation. How these strain-level dynamics play out in a community setting, and what the strain-level signatures of adaptation are in the microbiome, remain open questions. Only recent technological breakthroughs have provided the means to leverage metagenomic data to understand signatures of adaptation at the strain level, such as single nucleotide polymorphisms and gene copy number variants. Such information will illuminate the evolutionary forces shaping microbiome diversity, transforming in turn our ability to manipulate the microbiome to benefit host health. This symposium will focus on probing signatures of adaptation in the microbiome, with special attention paid to novel data sources, statistical methodology, and biological examples.

Do adaptive TEs overlap with top H12 peaks in Raleigh or Zambian data?

Recently, my colleague asked if adaptive TEs overlap with the top H12 peaks identified in Raleigh or Zambian D. melanogaster data. A paper by Gonzelez et al. 2010 shortlisted 13 adaptive TE candidates in D. melanogaster. One of the candidates is at the locus CHKoV1, which has been experimentally validated to confer resistance to pesticides.

Below I am replicating a figure from my paper showing an H12 scan in both Zambian and Raleigh D. melanogaster populations. The peaks highlighted with blue and beige dots indicate positions of the top 25 H12 peaks in the Zambian and Raleigh scans, respectively. I highlighted with red vertical lines the positions of three positive controls, Cyp6g1 (at this locus another TE confers DDT resistance, see this paper), Ace, and CHKoV1. Two additional red lines highlight peaks that are shared in both populations at unidentified loci. Additionally, I highlighted with blue vertical lines the positions of the candidates that Gonzalez et al. identified. Gonzalez et al. also identified candidates on the X chromosome, but we did not include an analysis of the X in our paper. As can be seen, the main overlap is at the CHKov1 locus. There are close overlaps at a peak on Chr2R in Raleigh and a couple peaks on Chr3R in Zambia, but it is difficult to know for sure if these are true overlaps given that the peaks are shifted slightly relative to the loci of the genes in which the TEs are located.

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