Jun Ishigohoka
@junishigohoka.bsky.social
180 followers 220 following 33 posts
Evolutionary biologist Tübingen < Plön < Kiel < Sapporo < Tokyo https://junishigohoka.github.io/
Posts Media Videos Starter Packs
Pinned
junishigohoka.bsky.social
Happy to share our new paper OA in Genetics. We show that population genomic methods based on ARGs (ancestral recombination graphs i.e. genetic ancestry along chromosomes) for demography inference can be biased when applied to genomes with wide high-recombining regions. doi.org/10.1093/gene...
High-recombining genomic regions affect demography inference based on ancestral recombination graphs
Abstract. Multiple methods of demography inference are based on the ancestral recombination graph. This powerful approach uses observed mutations to model
doi.org
Reposted by Jun Ishigohoka
nature.com
This year’s Nobel Prize in Physiology or Medicine has been awarded to three scientists for discovering a class of immune cells that help to prevent the body from attacking its own tissues

go.nature.com/48QDdAJ
Medicine Nobel goes to scientists who revealed secrets of immune system ‘regulation’
Mary Brunkow, Fred Ramsdell and Shimon Sakaguchi discovered cells that protect the body from autoimmune diseases.
go.nature.com
Reposted by Jun Ishigohoka
plosbiology.org
How are #circadian rhythms established during development? This study shows that maternal metabolic signals oscillate in the fetal #SCN before the endogenous #clock becomes functional, offering a plausible mechanism for maternal entrainment of the developing clock @plosbiology.org 🧪 plos.io/3VD45fZ
Rhythmic metabolites in the E19 SCN peak during the day. Majority of rhythmic lipids and polar metabolites in the E19 SCN peak during the day, while there are more diverse phase clusters in the developed P28 SCN postweaning. Polar metabolites and lipids identified as rhythmic in E19 SCN (E19 clusters 1, top, and 2, bottom) were divided into subgroups based on hierarchical K-means clustering. Line plots on the left show traces of the normalized level of each rhythmic compound in each corresponding cluster. Bar plots on the right represent the lipid classes and polar metabolites in each rhythmic cluster.
Reposted by Jun Ishigohoka
oikosjournal.bsky.social
📜Forum: A trait-based framework for adaptive phenotypic plasticity under global change

vist.ly/48kss

#BehavioralPlasticity #ClimateChange #ExtremeEvents #GeneByEnvironmentInteractions #IntraspecificVariation #MorphologicalPlasticity #PhysiologicalPlasticity #Stochasticity #Variability

Reposted by Jun Ishigohoka
biorxiv-evobio.bsky.social
Evolution of the rate, spectrum, and fitness effects of mutation under minimal selection in Caenorhabditis elegans https://www.biorxiv.org/content/10.1101/2025.09.24.678306v1
Reposted by Jun Ishigohoka
luisapallares.bsky.social
Jun @junishigohoka.bsky.social is the first postdoc of the lab. Today, during #postdocappreciationweek, I just want to let you all know that Jun is t h e b e s t! 🤓 I'm very happy he decided to join us here at @mpi-bio-fml.bsky.social. Looking forward to our papers together, Jun! 💻🧬🪰🔢
Reposted by Jun Ishigohoka
plosbiology.org
How do your #linguistic, #economic & #gender backgrounds impact your #scientific productivity? @tatsuya-amano.bsky.social & co reveal that being a woman, a non-native English speaker, and from a low-income country is associated with a 70% reduction in productivity @plosbiology.org 🧪 plos.io/4n3RLRQ
Scientific productivity gap based on English-language peer-reviewed papers. Shown are the maximum % differences in the number of peer-reviewed papers published by female native English speakers from a high-income country (-45%), female non-native English speakers from a high-income country (-60%), and female non-native English speakers from a lower-middle income country (-70%), compared to male native English speakers from a high-income country (red flag). Credit: Tatsuya Amano
Reposted by Jun Ishigohoka
gcbias.bsky.social
Celebrating my 18 year anniversary of thinking I'll learn ggplot2 next month.
jebyrnes.bsky.social
Me right now reading “It is also the 18th anniversary of ggplot2…”
Reposted by Jun Ishigohoka
yun-s-song.bsky.social
SINGER, our ARG inference method, is finally published and freely available online:

doi.org/10.1038/s415...

It was a long journey – 16 months from initial submission to acceptance. Is it just me, or has peer review gotten more arduous lately? 4+ rounds of review isn't so unusual these days...
Robust and accurate Bayesian inference of genome-wide genealogies for hundreds of genomes - Nature Genetics
SINGER is a method for creating ancestral recombination graphs to understand the genealogical history of genomes. The method has increased speed, and thus scalability, without sacrificing accuracy.
doi.org
junishigohoka.bsky.social
"A previously reported bottleneck in human ancestry 900 kya is likely a statistical artifact"
academic.oup.com/genetics/art...
Reposted by Jun Ishigohoka
fandingzhou.bsky.social
Gene expression changes aren’t just about mean shifts — variability shifts matter too, especially for aging. We're thrilled to introduce QRscore, a flexible non-parametric framework for detecting shifts in mean and variance across conditions. doi.org/10.1016/j.cr...
Reposted by Jun Ishigohoka
ajblake05.bsky.social
Our new paper is now out in @jexpbiol.bsky.social!!! We had all sorts of fun generating LED stimuli for mosquitos to investigate their visual preferences in the presence of different odors. The paper is open access and available here: journals.biologists.com/jeb/article/...
Reposted by Jun Ishigohoka
danielbolnick.bsky.social
In the earliest stages of adaptive introgression, beneficial immigration can drive genome-wide changes. In a new preprint www.biorxiv.org/content/10.1... colleagues & I document exceptionally rapid genomic introgression in a lake population of stickleback.
Reposted by Jun Ishigohoka
molbioevol.bsky.social
@jcbnunez.bsky.social et al. present an expanded release of the community-generated resource Drosophila Evolution over Space and Time (DEST 2.0), and showcase it by studying the species' demographic history and signatures of adaptation.

🔗 doi.org/10.1093/molbev/msaf132

#evobio #molbio #drosophila
MBE - Footprints of Worldwide Adaptation in Structured Populations of Drosophila melanogaster Through the Expanded DEST 2.0 Genomic Resource
Reposted by Jun Ishigohoka
jrossibarra.bsky.social
Our paper showing that variation in transcription factor binding sites underlies the majority of additive genetic variance for phenotypic variation in maize is finally out!

Sadly they didn't use our suggested cover image below (made by the inimitable Andi Kur).

www.nature.com/articles/s41...