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Steven Maere

@stevenmaere.bsky.social
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Reposted by Steven Maere
Hengchi Chen @heche.bsky.social · 08/05/2026
www.cell.com/cell/fulltex... Thrilled to see the final chapter of my thesis now publish on Cell! It's been a long journey. @yvdp.bsky.social @almeidasilvaf.bsky.social @stevenmaere.bsky.social In this study, we try to tackle a "polyploid paradox".
cell.com
The rise of polyploids during environmental upheaval
From the dating of 132 ancient whole-genome duplication events across 470 angiosperms, paleopolyploidization events cluster around pivotal periods of environmental upheaval and extinction, notably the...
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Reposted by Steven Maere
Plant Systems Biology @psb-vib.bsky.social · 09/04/2026
PAPER from @stevenmaere.bsky.social link.springer.com/article/10.1...
link.springer.com
Using reciprocally retained gene families to detect whole-genome multiplications in plants - Genome Biology
Background Traces of ancient whole-genome multiplications (WGMs) have been observed all over the plant kingdom and have been associated with various evolutionary processes, such as increased evolvability, speciation, adaptation to changing environments, domestication and the origin of evolutionary novelties. However, understanding the impact of WGMs on plant evolution requires accurate detection of WGM events, which is challenging because of rapid signal erosion due to genome rearrangements, sequence divergence and the occurrence of additional large- and small-scale duplications. Results Here, we investigate whether reciprocally retained gene families, i.e. gene families that preferentially expand through WGM and rarely exhibit small-scale duplications, can be used as WGM markers in angiosperms. Using stochastic birth-death modeling of gene families’ gene count profiles across species to test for WGM presence or absence, we demonstrate that strongly reciprocally retained gene families have higher power to detect true WGMs and to reject false WGMs than non-reciprocally retained gene families. Conclusions Although none of the reciprocally retained gene families is a perfect WGM marker on its own, we show that using an extended set of such families as input for birth-death and $${K}_{\text {S}}$$ KS distribution modeling approaches leads to better WGM detection performance than using entire genomes. A pipeline to use reciprocally retained gene families for $${K}_{\text {S}}$$ KS distribution-based WGM inference in angiosperms has been implemented in ksrates v2.0.
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Reposted by Steven Maere
Plant Systems Biology @psb-vib.bsky.social · 05/02/2026
PAPER from @stevenmaere.bsky.social, @rootdevelopment.bsky.social and @hansmotte.bsky.social link.springer.com/article/10.1...
link.springer.com
smoppix: unified nonparametric analysis of single-molecule spatial omics data using probabilistic indices - Genome Biology
Spatial omics technologies localize individual molecules at subcellular resolution, yet growing numbers of molecules, features and replicates set analysis challenges. We present smoppix, a nonparametr...
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Reposted by Steven Maere
Plant Systems Biology @psb-vib.bsky.social · 11/09/2025
PAPER from @stevenmaere.bsky.social academic.oup.com/biostatistic...
academic.oup.com
The winner’s curse under dependence: repairing empirical Bayes using convoluted densities
Summary. The winner’s curse is a form of selection bias that arises when estimates are obtained for a large number of features, but only a subset of most e
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