Discover and read the best of Twitter Threads about #metagenomics

Most recents (5)

"The live SARS-like coronavirus SL-CoV-WIV1 has been isolated for the first time from bat droppings; and such virus has been confirmed to invade the host cells through the ACE2 of human beings..." ImageImageImage
Bat Severe Acute Respiratory Syndrome-Like Coronavirus WIV1
Encodes an Extra Accessory Protein, ORFX, Involved in Modulation of the Host Immune Response. (2016) #ZhengLiShi #PeterDaszak #EcoHealth
Funding: #NIAID 110964 ImageImageImageImage
In this study, we have developed a fast and cost-effective method
for reverse genetics of coronaviruses by combining two approaches developed by others..As the genomes can be divided into multiple short fragments, mutations can be introduced into individual
fragments easily. ImageImageImageImage
Read 68 tweets
It’s out! Our paper “Marine Sediments Illuminate Chlamydiae Diversity and Evolution” was published in @CurrentBiology today! Below a thread with major highlights 1/11

cell.com/current-biolog…
Big thanks to fantastic co-authors! Celebrating with @DanielTamarit, @eme_laura, @cstairs, @JoranMartijn, @hfixou, Steffen Jørgensen, @anjspa1, and @Ettema_lab. Work done @MolEvoUpp, @MIB_WUR, and @uibgeo.

For a visual summary, check out our graphical abstract 2/11
In short: Phylogenetically diverse new lineages of #Chlamydiae (a bacterial phylum which includes the pathogen #Chlamydia) are abundant and active in deep #anoxic #marine #sediments taken from near Loki’s Castle #hydrothermal vent field 3/11
Read 11 tweets
"Digital Orthodoxy," aka Deep Phenotyping or High-dimensional human data, is a great research tool w/ many proven advances, but has NO commercial/clinical validation and may be harmful
thelancet.com/journals/lance…
Our latest @TheLancet Digital Medicine essay
@EvanMuse @ScrippsRTI
@TheLancet @EvanMuse @ScrippsRTI The multi-modal testing may someday be validated to benefit, but until that time we raise concerns about the practice, ethics and safety for companies to be charging individuals for such data accumulation.
@TheLancet @EvanMuse @ScrippsRTI In @TheLancet essay we briefly touched on advances that deep phenotyping of people has made in biomedical research. I'm going to briefly review 5
1. Pre-diabetes-> #diabetes
2. Individualized diet
3. Colon #cancer+ microbiome
4. Gut #metagenomics sequence Δ
5. Tumor microbiome
Read 8 tweets
This team successfully identified key factors driving a complex multifactorial disease tied to persistent #infection! (necrotizing colitis)👉 They used a combo of genome-resolved #metagenomics + machine learning approaches to identify #microbial features predictive of the illness
Features considered included genes, #bacterial strain types, eukaryotes, bacteriophages, plasmids + growth rates 👉 ...which allowed the team to “uncover #biomarkers that could lead to early detection of necrotizing enterocolitis and targets for #microbiome-based therapeutics.” ImageImage
Important consideration from study👉 “Bioinformatics techniques can also infer in situ bacterial replication rates directly from #metagenomic data, an important metric, as some #microbiome-related diseases have a signal related to bacterial replication but not relative abundance”
Read 3 tweets
Our paper <Marine connectivity dynamics: clarifying cosmopolitan distributions of marine interstitial invertebrates and the meiofauna paradox> is out in @Mar_Biology 😁

1/n Here's a summary of what we found and discussed (and a personal significance at the end):
* We did a literature survey and analyzed 700+ contributions
* Despite including keywords such as 'molecular OR cryptic OR ... dispersal OR phylo* OR biogeo* OR distribut*' only 7 contributions (>1%) focused on evolutionary biology!
2/n
* Ecology and Taxonomy made up nearly 95% (488; 235 respectively) ... with a majority of contributions focusing on nematodes and arthropods (harpacticoid copepods).
* Paleontology, Development and Physiology added up to only 31 contributions!
3/n
Read 13 tweets

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