#PGLS
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joannabagniewska.com
Cool study alert!
When male animals invest more in sexual weaponry (antlers, tusks, horns), females invest more in relative brain size.
Read more below:
link.springer.com/article/10.1...

🧪🦊🌍 #AcademicSky
(A) phylogenetic tree of the species (N = 29) analyzed in our study. Yellow = Tusks; Black: Both Antlers and Tusks; Blue: Antlers; Pink: Horns. Artwork by Tayyab Qureshi. (B) PGLS insignificant association between weapon size and brain size in males. (C) PGLS significant positive association between male weapon size and females brain size. (D) PGLS negative association between male–female relative brain investment (ΔEQ) and male–female relative weapon investment (ΔWQ; Yellow = Tusks; Blue: Antlers; Pink: Horns) Adult male Mesola red deer roaring Photo: Wanax01 (Wikimedia Commons)
January 15, 2024 at 5:22 PM
ymilesz.bsky.social
Our paper on the rather large genome (1.08Gb) of the agricultural pest blueberry gall wasp is now out as a preprint. We also looked across chalcidoid genomes and found the genome size variation is largely driven by transposable element proliferation. 🧪 #Ormyridae #Hemadasnubilipennis
Blueberry gall wasp adult habitus and gall Blueberry gall wasp genome snail plot, hi-c contact map, and K-mer spectra plot Phylogeny, TE landscape, and PGLS between different chalcidoid lineages. Chromosome structure of the blueberry gall wasp genome
September 28, 2026 at 11:09 AM
vetcancerhealth.bsky.social
Multiple Endocrine Neoplasia with Multiple PGLs in Two Boxer Dogs: Morphological Features, Immunohistochemical Profile and SDHD Gene Mutation Screening www.mdpi.com/2306-7381/11... #vetmed #vetmedicine
Multiple Endocrine Neoplasia with Multiple PGLs in Two Boxer Dogs: Morphological Features, Immunohistochemical Profile and SDHD Gene Mutation Screening
This study aimed to describe the gross and histological features of multiple endocrine and non-endocrine neoplasia, including multiple PGLs found in two Boxer dogs. Additionally, the identified PGLs w...
www.mdpi.com
November 26, 2024 at 4:59 PM
stephlechki.bsky.social
Excited that the first paper from my dissertation is now out in Royal Society Open Science! @royalsociety.org

We used PGLS to investigate the effect of brain size and metabolism on reproductive output across extant amniotes and dinosaurs 🧵

#FossilFriday

royalsocietypublishing.org/rsos/article...
royalsocietypublishing.org
June 26, 2026 at 7:10 PM
pseudacris.bsky.social
Use slouch/blouch etc. whenever testing for adaptation of Y to X when change in X doesn't immediately translates to a change in Y; i.e. if there is any reason to believe adaptive lag. Currently, people usually just use PGLS instead. You're missing evidence of adaptive relationships because of it.
May 21, 2025 at 8:06 PM
nhcooper123.bsky.social
Yeah not everything here is completely correct. You can do anything with PGLS you’d do with an OLS.
November 5, 2025 at 8:03 AM
jessezaneveld.bsky.social
Could one call it "A Night At The Museum?". I bet the Burke Museum would be down. Also have some basic ASR/PGLS scripts from recent coral work. Do folks know what kind of equipment is needed to do this right (at least preliminarily)? UV flashlight, filter goggles, camera requirements?
March 28, 2026 at 4:16 AM
liamtaylor.bsky.social
PGLS!
November 19, 2024 at 5:55 PM
rmcelreath.bsky.social
This in the latest PNAS. Phylogenetics has gone all in on Bayes but knowledge & norms have lagged. I mean posterior often has good frequentist coverage but can't assume it. Also no chain diagnostics in the paper or supplement. Where are our standards?
For the PGLS regression we ran 6,000,000 iterations, sampling every 50,00 iterations and discarding the first 1,000,000 iterations as burn in. Statistical significance of predictor variables was estimated based on a P MCMC metric. This metric is based on counting the percentage of regression parameters that are higher (or lower) than zero in the posterior distribution. When the regression parameter is higher (or lower) than zero over 95% of the posterior distribution, then the predictor variable is statistically significant. For PGLMM regressions we also ran 6,000,000 iterations, sampling every 50,000 iterations and discarding the first 1,000,000 iterations as burn in. Regression coefficients were judged to be significant according to the PMCMC metric estimated by the “MCMCglmm” R function.
August 13, 2025 at 7:48 AM
rjkonrad.bsky.social
En Andrea was ook al te gast bij de podcast van Syp Wynia, met steeds weer hetzelfde verhaal:
www.youtube.com/watch?v=PgLs...
‘Volgende generaties hebben recht op het veiligstellen van onze cultuur en leefwijze’
YouTube video by Wynia's Week
www.youtube.com
March 13, 2026 at 6:44 PM
mostlymammoths.bsky.social
Forelimb reduction and digit loss were evolutionarily decoupled in oviraptorosaurian theropod dinosaurs 🦖

Amelia Mead , Gregory Funston and Stephen Brusatte

royalsocietypublishing.org/doi/10.1098/...
Figure 4. Ancestral state reconstruction of the residuals of the relationship between humerus and femur length from PGLS through the oviraptorosaurian phylogeny.
March 26, 2025 at 10:50 PM
shaunjamison.bsky.social
PGLS Distinguished Speaker Series: The Future of Bar Admissions
Tuesday, March 11
3:00 pm ET
Register for the free webinar here: lnkd.in/gQTrmS67 #BarExam
March 3, 2025 at 7:36 PM
medienmonolog.bsky.social
Wer nimmt denn bitte die perceived stress scale zum Messen eines "perceived general life stress" und misst auch zusätzlich den "perceived social support" über den Berlin Social Support Scale.

Das ist ja methodisch ganz nett, aber der Stress ist dann "PGLS" benannt und der Support "PSS"...
April 1, 2026 at 1:24 PM
parrotfishresearch.bsky.social
We used Local Moran’s index for PGLS residuals of 26 GBR #parrotfish species for the 9 cranial traits - AMMM mass was not solely driven by #phylogenetic_relatedness.

AMMM may limit or facilitate feeding substrata bitten. Ie dead coral and CCA are hard, heavily bioeroded dead coral is crumbly ☠️ 🪸
November 29, 2024 at 10:58 PM
mtanichthys.bsky.social
So, I'm confused by the claim in this paper that PGLS is restricted to continuous variables. I feel like I've tested categorical data in PGLS before...
November 4, 2025 at 2:23 PM
drewsteen.bsky.social
TIR: Symonds and Blomberg (2014), "A primer on phylogenetic generalized least squares".
Authors note that many biostats papers don't get read by biologists, because they're written for statisticians. I think they're right!
1/2
link.springer.com/chapter/10.1...
A Primer on Phylogenetic Generalised Least Squares
Phylogenetic generalised least squares (PGLS) is one of the most commonly employed phylogenetic comparative methods. The technique, a modification of generalised least squares, uses knowledge of phylo...
link.springer.com
January 10, 2025 at 10:28 PM
lnwilson.bsky.social
Through simulations on multiple tree types and sizes, they show that phylogenetically informed predictions are more accurate than calculations from OLS and PGLS regression formulae. In the figure, you can see that the range in error (actual - predicted) is narrower for phylogenetic predictions.
July 4, 2025 at 9:14 PM
stephen8vickers.bsky.social
The data goes into PGLS models weighted by uncertainty in COA shift rate.
One model for each season for a binary flocking var. for 122 species. Another model for each season where we categorise flocks as either age-separated or mixed-age, for 81 species.

7/10
Phylogenetic Generalised Least Squares (PGLS) model coefficients for predictors of annual shift rates (metres per year) of Breeding Bird Survey (left) and Christmas Bird Count (right) centres of abundance between 1970 and 2019. Model A assessed migratory flocking as a binary flocking vs. solo migrants for 122 species. Model B refined the assessment of migratory flocking differentiating between species that flock in age-separated and mixed-age flocks, for a reduced pool of 81 species. Red points indicate significant results inferred from credible 95th percentiles (error bars) that exclude zero
January 14, 2025 at 8:40 AM
pragalicious.bsky.social
Je mag altijd bij ons eens komen aanschuiven Paul. Méér dan welkom tijdens een van onze PGLS Live-uitzendingen waarin we de actualiteit bespreken, maar Kleine Boodschap-gewijs graag uitweiden 😁
September 26, 2025 at 8:26 PM
respublications.bsky.social
New research in #RESEcolEnt reports on the #phylogenetic signal in elevational distribution and range size of a #Satyrinae butterfly genus in the Himalaya
doi.org/10.1111/een.13468

#Lethe #PGLS #COI
@sheborg.bsky.social @robwilsonmncn.bsky.social @callomac.bsky.social @wiley.com
July 12, 2025 at 1:10 PM
andrejpaleo.bsky.social
We all know big-headed giant theropods. But what about big-clawed and strong-arm predatory dinosaur evolution?
"..Megaraptoridae...the only large-bodied carnivorous theropod lineage retaining a specialized forelimb-based predatory strategy.."
link.springer.com/article/10.1...
🧪⚒️ #EevoBio #Paleobio
(A) Ancestral state reconstruction of log-transformed claw centroid size under a Brownian motion model estimated using REML. (B) Phenogram of log-transformed claw centroid size through time, illustrating the evolutionary trajectories of Megaraptora (blue), phylogenetic outgroups (light green), Allosauria (black), Megalosauria (green), and Coelurosauria (red). (C) Fitted values from the phylogenetic generalized least squares (PGLS) model relating Procrustes-aligned shape data to systematic category and size Phylogenetic integration patterns (effec t siz e in the left and r-PLS on the right of the black line) and evolutionary rates of claw, ulna-radio, and humerus among non-avian theropod clades with well-developed forelimbs. ( Joaquinraptor skeletal reconstruction modified from Ibiricu et al., 2025 ). Evolutionary rates of hindlimb elements were estimated using the set of Procrustes Coordinates ( compare.evol.rates function, geomorph v. 4.0.9 package) under a Brownian evolution model with 10,000 interactions and a permutational procedure.
September 7, 2026 at 12:24 PM
lnwilson.bsky.social
Predicting traits like body size is often done by calculating them from regression formulae, based on some proxy. However, this fails to account for shared ancestry among species. Both ordinary (OLS) and phylogenetic (PGLS) regression formulae ignore relatedness during the prediction process.
July 4, 2025 at 9:14 PM
djbirddanerd.bsky.social
#Body reconstruction and #size estimation of #plesiosaurs by Ruizhe Jackevan Zhao: peerj.com/articles/21146 in @peerj.bsky.social relevant to #EvolutionaryStudies #MathematicalBiology #Paleontology #Zoology
he workflow for establishing a hybrid framework to estimate body mass in plesiosaurs. (A) Acquire data from fossil specimens (illustrated here using the modified image of Sachicasaurus vitae, Paramo-Fonseca, Benavides-Cabra & Gutierrez, 2018, CC BY 4.0). (B) Create lateral-view silhouettes of skeletal elements. (C) Estimate the dimensions of missing fossil elements through regression formulae and/or comparisons with closely related taxa. (D) Reconstruct the main body axis, including the dimensions and shape of the skull and vertebral column. (E) Reconstruct the ribcage in both lateral view and transverse cross-sections jointly, then restore the soft-tissue outlines of the main body axis and the flippers. (F) Estimate the body mass using the cross-sectional method (Zhao, 2024). (G) Establish body mass equations from the mass estimates of multiple species. Elements in this figure are not to scale. https://doi.org/10.7717/peerj.21146/fig-1 Silhouettes of representative plesiosaur models from different clades, showing the reconstructed body outlines and transverse cross-sections. All models are scaled to the same length. (A) Thalassomedon haningtoni. (B) Aristonectes quiriquinensis. (C) Sachicasaurus vitae. (D) Liopleurodon ferox (E) Abyssosaurus nataliae. (F) Cryptoclidus eurymerus. (G) Martinectes bonneri. (H) Polycotylus latipinnis. (I) Meyerasaurus victor. (J) Macroplata tenuiceps. (K) Seeleyosaurus guilelmiimperatoris. (L) Microcleidus tournemirensis. (M) Nichollssaura borealis. (N) Brancasaurus brancai. (O) Plesiopterys wildi. https://doi.org/10.7717/peerj.21146/fig-4 Representative plesiosaur reconstructions created in this study. (A) Kronosaurus queenslandicus. (B) Albertonectes vanderveldei. (C) Aristonectes quiriquinensis. (D) Plesiopterys wildi. (E) Brancasaurus brancai. (F) Liopleurodon ferox. (G) Seeleyosaurus guilelmiimperatoris. (H) Meyerasaurus victor. (I) Cryptoclidus eurymerus. (J) Mauriciosaurus fernandezi. All limbs are vertically oriented for display. The dorsal ribs in these skeletal reconstructions have been aesthetically refined and thus differ from the initial versions used to infer ribcage cross-sections. Scale bar equals 1 m. https://doi.org/10.7717/peerj.21146/fig-5 Scatter plot and regression models of the pruned skull-neck dataset. The red curve, green dashed line, and the blue dotted line represent the nonlinear regression model based on a log–logistic (LL) function, the Ordinary Least Squares (OLS) model, and the Phylogenetic Generalized Least Squares (PGLS) model, respectively. Lower values of sample-size corrected Akaike Information Criterion (AICc) and mean per cent prediction error (∣%PE∣) represent better model performance. https://doi.org/10.7717/peerj.21146/fig-8
April 14, 2026 at 9:09 AM
bigearthdata.ai
Phylogenetically informed predictions outperform predictive equations in real and simulated data
->Nature | #Data | More info from EcoSearch
Phylogenetically informed predictions outperform predictive equations in real and simulated data
The performance of phylogenetically informed prediction on ultrametric trees Here, we assess the performance of phylogenetically informed predictions compared to OLS and PGLS-derived predictive equations under different evolutionary scenarios. Following the original formulation of phylogenetically informed prediction11 (Box 1), we...
www.nature.com
July 3, 2025 at 6:38 PM
endocrineoncology.bsky.social
A new case report by Anna Battistella et al. describes a rare case of mesenteric primary mesenteric paragangliomas (PGLs) that was preoperatively diagnosed as a nodal metastasis from an occult ileal NET, leading to extensive but ultimately unnecessary investigations.

🔗 doi.org/10.1530/EO-25-0117
Endocrine Oncology logo. Mesenteric paraganglioma mimicking nodal metastasis of an occult small intestinal neuroendocrine tumor. By Anna Battistella et al. Figure 1. Contrast-enhanced (CE) computed tomography (CT): axial CT images in basal (A), arterial (B), and venous (C) phases showing a well-defined hypervascular nodule with arterial enhancement, located in the pelvic cavity at the level of the S1–S2 vertebrae, within the ileal mesentery (red arrows). Endocrine Oncology 6, 1; 10.1530/EO-25-0117. Published by Bioscientifica logo. 80 Years 1946-2026 Society for Endocrinology logo.
May 11, 2026 at 11:00 AM