Hello interwebz!

Back for #Evoluncheons after a week of travel and drowning in a sea of papers. This took all day again -_-

Actually organizing by #evolution 🦠 🧬 🧪 themes from now on, hopefully easier to digest.

https://evoluncheons.blogspot.com/2023/09/28-sep-2023.html

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28 Sep 2023

Hello interwebz!   Back for #Evoluncheons after a week of travel and drowning in a sea of papers. This took all day again -_-    Actually or...

Fundamental evolution:

1. Switching barcoded yeast mutants between carbon sources leads to results that are different from what we would expect based on their fitness in each carbon source without switching. https://doi.org/10.1101/2023.09.14.557739

Mutants with greater differences in fitness between static environments show the greatest deviations from expectation. Tweetorial from the great Clare Abreu: https://twitter.com/clabreu/status/1706324819631862158
Clare Abreu (she/her) on X

How do environmental fluctuations alter fitness? We find that fluctuations generate surprising and dramatic changes in our new pre-print, with @MathurShaili and @PetrovADmitri. https://t.co/CpUWtFNgeR

X (formerly Twitter)
2. Susumu Ohno proposed gene duplications should facilitate evolution of proteins with novel functions. FACS-powered experimental evolution of fluorescent protein libraries confirms duplications increase mutational robustness and genetic diversity… https://doi.org/10.1101/2023.09.25.559237
…but not speed of phenotypic evolution due to inactivation of one copy (though this is for increases in original trait? I thought this should be most evident in new trait, blue fluorescence...).
Natural history:
3. Self-assembling viral histones unravel early nucleosome evolution. Fascinating approach where authors shows that viruses can be used as a window into the evolutionary past, here used to study histone evolution in early eukaryotes. https://doi.org/10.1101/2023.09.20.558576
Nick Irwin on X

Excited to share our manuscript about how we studied the function and evolution of giant viral histones to understand the origin of the nucleosome https://t.co/Bjdbs6kuoJ (1/10)

X (formerly Twitter)
Host-pathogen interactions:
4. Theory and experiments show what influences the balance between selected vs. acquired resistance evolution in a phage-bacteria system. https://doi.org/10.1371/journal.pbio.3002122
Transient eco-evolutionary dynamics early in a phage epidemic have strong and lasting impact on the long-term evolution of bacterial defences

Organisms use a range of defence systems to protect against their parasites. Using a bacteria-phage model system, we investigate what drives the transient evolution of different systems, which has important implications for host ecology and pathogenicity.

High host growth favors selection of resistant mutants, high pathogen transmission favors acquired CRISPR immunity.

Engineering:

5. Genetic variation derived from adaptive laboratory evolution of E. coli to specific conditions and standing variation in wild strains are largely non-overlapping evolutionary spaces that be combined in directed evolution and strain design.
https://doi.org/10.1101/2023.09.17.558058

Cancer:
6. Single-cell phylogenies reveal changes in the evolutionary rate within cancer and healthy tissues. A new statistical test detects changes in mutation rate across a variety of cancer and healthy somatic tissues using scDNA-seq data.
https://doi.org/10.1016/j.xgen.2023.100380
David Posada on X

Check our new paper on changes in the evolutionary rate among somatic lineages! https://t.co/fxuyZtLBNl A nice collaboration with Nico BorgsmĂĽller, @linkmonica, Jack Kuipers, and Niko Beerenwinkle

X (formerly Twitter)

Behavior:

7. Simulations of agents engaging in pairwise fights and status signaling show that honest and dishonest-signaling individuals can coexist if costs of signaling are not proportional to quality and individuals can learn from experience. https://doi.org/10.1101/2023.09.19.558427

…feels great to add old colleagues and professors to this newsletter. Author post (and link to great spanish-language breakdown on igram): https://twitter.com/cdanielcadena/status/1705213834653249547
daniel cadena on X

our latest, led by @AtiQuinones - theory and models inspired by one of the systems we study in nature leads to insights that make us think about our empirical work in novel ways. #cienciacriolla

X (formerly Twitter)
8. Bottlenecks affect different cooperative traits in different ways in the social bacterium Myxococcus xanthus, selecting for some and against others. https://doi.org/10.1101/2023.09.20.558552
Samay Pande on X

1/n Preprint alert📢: Happy to present insanely cool work led by super talented PhD student @JyoKalathera , and superbly supported by Vishwa who was a research fellow in the lab. Here is the thread to tell you a bit about this manuscript. https://t.co/Dvbk13hvHA

X (formerly Twitter)

Zoonoses:

9. Host traits shape virome composition and virus transmission in wild small mammals. 534 new viruses found in bats, shrews, and rodents; inter-species transmission events identified. https://doi.org/10.1016/j.cell.2023.08.029

10. Looking beyond land-use and land-cover change: Zoonoses emerge in the agricultural matrix. Complex, diverse sociocultural-economic agricultural systems are more ecologically robust against zoonoses. https://doi.org/10.1016/j.oneear.2023.08.010
Luis Fernando Chaves on X

In 2022 with @ivette_perfecto and a group at the University of Michigan we discussed the ecology behind zoonoses. Keeping a broad perspective and a careful examination of the evidence and narratives we came up with this piece. (1/10) https://t.co/WpWhOyum8S

X (formerly Twitter)

COVID-19:

11. All-star cast of pandemic heroes definitely shows we are playing with fire with mutation inducing drugs. https://doi.org/10.1038/s41586-023-06649-6

Theo Sanderson (@theo.io)

Our molnupiravir work is now out after peer-review! We definitively demonstrate that molnupiravir has resulted in viable SARS-CoV-2 viruses with significant numbers of mutations, in some cases with onwards transmission of mutated viruses. www.nature.com/articles/s41...

Bluesky Social
12. Massive effort to characterize convergent evolution in SARS-CoV-2 VOC mechanisms that suppress host immune responses. https://doi.org/10.1016/j.cell.2023.08.026
Krogan Lab on X

Officially out in @CellCellPress: Systematic comparison of SARS-CoV-2 variants of concern (Alpha, Beta, Gamma, Delta, & Omicron) using global proteomic and genomic analyses during infection to understand the molecular responses driving viral evolution 🧵👇 https://t.co/TXvwbN0MsK

X (formerly Twitter)
13. The famous detective saga tracking down that one poor soul in Wisconsin pooping out cryptic lineages like there's no tomorrow, updated preprint. https://doi.org/10.1101/2022.10.28.22281553
Human origin ascertained for SARS-CoV-2 Omicron-like spike sequences detected in wastewater: a targeted surveillance study of a cryptic lineage in an urban sewershed

Background The origin of novel SARS-CoV-2 spike sequences found in wastewater, without corresponding detection in clinical specimens, remains unclear. We sought to determine the origin of one such “cryptic” wastewater lineage by tracking and characterizing its persistence and genomic evolution over time. Methods We first detected a cryptic lineage in Wisconsin municipal wastewater in January 2022. By systematically sampling wastewater from targeted sub-sewershed lines and maintenance holes using compositing autosamplers, we traced this lineage (labeled WI-CL-001) to its source at a single commercial building. There we detected WI-CL-001 at concentrations as high as 2.7 × 109 genome copies per liter (gc/L) via RT-dPCR. In addition to using metagenomic 12s rRNA sequencing to determine the virus’s host species, we also sequenced SARS-CoV-2 spike receptor binding domains (RBDs), and where possible, whole viral genomes to identify and characterize the evolution of this lineage over the 13 consecutive months that it was detectable. Findings The vast majority of 12s rRNAs sequenced from wastewater leaving the identified source building were human. Additionally, we generated over 100 viral RBD and whole genome sequences from wastewater samples containing the cryptic lineage collected between January 2022 and January 2023. These sequences contained a combination of fixed nucleotide substitutions characteristic of Pango lineage B.1.234, which circulated in humans in Wisconsin at low levels from October 2020 to February 2021. Despite this, mutations in the spike gene, and elsewhere, resembled those subsequently found in Omicron variants. Interpretation We propose that prolonged detection of WI-CL-001 in wastewater represents persistent shedding of SARS-CoV-2 from a single human initially infected by an ancestral B.1.234 virus. The accumulation of convergent “Omicron-like” mutations in WI-CL-001’s ancestral B.1.234 genome likely reflects persistent infection and extensive within-host evolution. Funding The Rockefeller Foundation, Wisconsin Department of Health Services, Centers for Disease Control and Prevention (CDC), National Institute on Drug Abuse (NIDA), and the Center for Research on Influenza Pathogenesis and Transmission. Evidence before this study To identify other studies that characterized unusual wastewater-specific SARS-CoV-2 lineages, we conducted a PubMed search using the keywords “cryptic SARS-CoV-2 lineages” or “novel SARS-CoV-2 lineages” in addition to “wastewater” on May 9, 2023. From the 18 papers retrieved, only two reported wastewater-specific cryptic lineages. These lineages were identified by members of our author team in wastewater from California, Missouri, and New York City. None of these could be definitively traced to a specific source. A third study in Nevada identified a unique recombinant variant (designated Pango lineage XL) in wastewater, which was also discovered in two clinical specimens from the same community. However, it was unclear whether the clinical specimens collected were from the same individual(s) responsible for the virus detected in the wastewater. To our knowledge, no prior study has successfully traced novel SARS-CoV-2 lineages detected in wastewater back to a specific location. How and where cryptic lineages are introduced into wastewater is not known. The added value of this study This study documents the presence and likely source of a novel and highly divergent cryptic SARS-CoV-2 lineage detected in Wisconsin wastewater for 13 months. In contrast to previously reported cryptic lineages, we successfully traced the lineage (WI-CL-001) to a single commercial building with approximately 30 employees. The exceptionally high viral RNA concentrations at the source building facilitated the tracing effort and allowed for the sequencing of WI-CL-001’s whole genome, expanding our view of the lineage’s mutational landscape beyond the spike gene. Implications of all the available evidence WI-CL-001’s persistence in wastewater, its heavily mutated Omicron-like genotype, and its identified point source at a human-occupied commercial building all support the hypothesis that cryptic wastewater lineages can arise from persistently infected humans. Because cryptic wastewater lineages have some amino acid changes that subsequently emerge in circulating viruses, increased global monitoring of such lineages could help forecast variants that may arise in the future. ### Competing Interest Statement YK has received unrelated funding support from Daiichi Sankyo Pharmaceutical, Toyama Chemical, Tauns Laboratories, Shionogi, Otsuka Pharmaceutical, KM Biologics, Kyoritsu Seiyaku, Shinya Corporation and Fuji Rebio ### Funding Statement This study was made possible by the generous support of the Rockefeller Foundation's Regional Accelerators for Genomics Surveillance (DHO/TCF), Wisconsin Department of Health Services Epidemiology and Laboratory Capacity funds ([www.dhs.wisconsin.gov][1], 144 AAJ8216) to DHO, CDC contract 75D30121C11060 (DHO/TCF), Wisconsin Department of Health Services ELC Wastewater Surveillance funds ([www.dhs.wisconsin.gov][1], 130:AAI8627) to the UW-Madison Wisconsin State Laboratory of Hygiene (WSLH), and NIDA contract 1U01DA053893-01 (MJ). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: All human subjects work was conducted by the CDC and the Wisconsin Department of Health Services and was consistent with applicable federal law and CDC policy (see ethics statement). I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable. Yes [1]: http://www.dhs.wisconsin.gov

medRxiv

Antimicrobial resistance:

14. Antibiotic tolerance often is a stepping-stone to full-blown resistance, but this stepping stone isn't set in stone. https://doi.org/10.1093/evlett/qrad034

Long-term evolution of antibiotic tolerance in Pseudomonas aeruginosa lung infections

Abstract. Pathogenic bacteria respond to antibiotic pressure with the evolution of resistance but survival can also depend on their ability to tolerate antibiot

OUP Academic
15. Standing variation in P. aeruginosa infections facilitates evolution of resistance through selection for pre-existing mutants, but diversity trades off with growth rate. https://doi.org/10.1038/s41467-023-39416-2
16. Using next generation antimicrobials to target the mechanisms of infection. A review covering anti-virulence treatment strategies. https://doi.org/10.1038/s44259-023-00011-6