📣 Job alert! PhD position on Regulation of Pattern Scaling in Plant Stem Cell Niches in Marja Timmermans's lab and co-supervised by @cecilialaram.bsky.social The project is part of the @cerealcell.bsky.social consortium. The position is available from October 1st Apply now or share it! #PlantSciJob
Eneza Mjema
@enezer.bsky.social
Bioinformatician || Plant transcriptomics, Gene functions and regulation and Machine learning || PhD candidate
An opportunity to work with me 👇
📣 We are hiring a Computational Biologist – Genome Editing Trait Discovery in Einbeck, Germany. This is an interesting role for someone with strong analytical skills and a collaborative mindset. #PlantSciJobs #AgSciJobs jobs.kws.com/job/Einbeck-...
🔬 🌱 #PlantSciJobs #PlantSciJob PhD candidate (65%, 3 years) Plant RNA Biology @unimainz.bsky.social in Prof. Andreas Wachter’s lab Start: 1 December 2026 Deadline: 23 September 2026 www.deutsche-botanische-gesellschaft.de/en/job-openi...
Job Openings
deutsche-botanische-gesellschaft.de
📣 Job alert! 2 Positions starting 2027. PhD position with me and @bayerlab.bsky.social on Robustness of embryonic and stomatal development, part of @greenrobust.de Postdoc position on the regulation of cell state, following up on some exciting snRNAseq dat! Apply now or share! #PlantSciJob
Back in the field: Eneza @enezer.bsky.social, Maria, and this year’s students are on Spiekeroog again in 2026, continuing to phenotype wild Arabidopsis in 2026. The dataset grows, and the story continues: Watching climate shape plants - in real time, in real environments.
Excited to share our latest preprint. Arabidopsis thaliana has been the leading model for plant genetics - but most of what we know comes from growth chambers. Can this model also help us understand how climate shapes plants in the wild and reveal gene functions under real environmental variability?
1/11 🔥 New preprint alert 🔥 We wanted to know what plants in the wild really care about. So we asked them 🎤. Here is what we learned: “Biotic-response networks are an important organizer of the transcriptome in wild Arabidopsis thaliana populations” www.biorxiv.org/content/10.6...
Impressive work from @saschalaubinger.bsky.social and colleagues, describing molecular and phenotypic footprints of climate in transcriptomes of native Arabidopsis thaliana. #plantscience www.biorxiv.org/content/10.6...
This took 5 years, thousands of plants and an amazing collaborative team. Grateful to everyone who made this landscape transcriptomics approach possible and especially to @enezer.bsky.social for his incredible work and dedication.
Excited to share our latest preprint. Arabidopsis thaliana has been the leading model for plant genetics - but most of what we know comes from growth chambers. Can this model also help us understand how climate shapes plants in the wild and reveal gene functions under real environmental variability?
Molecular and phenotypic footprints of climate in native Arabidopsis thaliana https://www.biorxiv.org/content/10.64898/2026.03.02.709013v1
Molecular and phenotypic footprints of climate in native Arabidopsis thaliana https://www.biorxiv.org/content/10.64898/2026.03.02.709013v1
Professorship in plant genetics. The Botanical Institute at Kiel University is advertising a W2 professorship. Great opportunity to do plant research in the north of Germany. See: www.berufungen.uni-kiel.de/de/dateien/o...
berufungen.uni-kiel.de
New PhD opportunity in my group @thesainsburylab.bsky.social through the BBSRC NRP DTP Programme - see details of host to apply below biodtp.norwichresearchpark.ac.uk/projects/van...
Vanishing Virulence: Investigating pathogenicity loss in a plant pathogenic fungus (TALBOT_T26DTP) | Doctoral Training Partnership
What makes a plant killer lose its edge? This project will investigate why fungal pathogens lose virulence when they are grown in laboratory culture away from their host plant. Use cutting-edge…
biodtp.norwichresearchpark.ac.uk
Form follows function – structural interplay between DCL1 and pri-miRNAs #plantscience
Form follows function – structural interplay between DCL1 and pri-miRNAs
MicroRNAs (miRNAs) guide post-transcriptional gene silencing in plants and shape developmental outcomes and environmental responses by precisely tuning gene expression. miRNAs originate from primary transcripts (pri-miRNAs) whose structural features – including internal loops, mismatches, and sequence motifs – facilitate interactions with the miRNA processing complex composed of DICER-LIKE 1 (DCL1), HYPONASTIC LEAVES 1 (HYL1), and SERRATE (SE). In vitro structural analyses of DCL1, HYL1, and SE proteins have elucidated their interactions with each other and with pri-miRNAs at unprecedented resolution. These findings highlight plant-specific processing features that are distinct from those of animals and suggest new avenues for manipulating miRNA pathways. We review recent progress in understanding the structural determinants of pri-miRNA processing, knowledge that may also be valuable for future applications in crop species through targeted genome editing.
dlvr.it
Our review in discusses how pri-miRNA and DCL1 structures shape plant microRNA biogenesis, and why collaboration between plant and protein scientists is key ☘️🤝
Form follows function – structural interplay between DCL1 and pri-miRNAs #plantscience
New Review from our fellow @snp2prot.bsky.social members @saschalaubinger.bsky.social, Clara Schöder, Panos Kastritis and the excellent ECRs Cecille Scholl, Lars Grosch and Jana Baradei! Check it out: www.cell.com/trends/plant...
Form follows function – structural interplay between DCL1 and pri-miRNAs
MicroRNAs (miRNAs) guide post-transcriptional gene silencing in plants and shape developmental outcomes and environmental responses by precisely tuning gene expression. miRNAs originate from primary t...
cell.com
Great session with amazing talks! Using single-plant omics on naturally occurring (Wild) Arabidopsis populations is a powerful and underutilized approach for uncovering gene-phenotype relationships in an ecological context. #icar2025
Concurrent session 14: gene to phenotype prediction: Eneza Yoeli Mjema: approach: collect data from plants growing in natural habitats to find missing gene functions, use machine learning to look for gene-phenotype relationships @enezer.bsky.social #icar2025