@article{hussain_progression_2026,
	title = {The progression of leaf senescence is gated by the cytosolic arginine pool},
	volume = {12},
	copyright = {2026 The Author(s)},
	issn = {2055-0278},
	url = {https://www.nature.com/articles/s41477-026-02328-2},
	doi = {10.1038/s41477-026-02328-2},
	abstract = {Leaf senescence aims to degrade cellular components to recover valuable nutrients and reallocate them to other organs1. Once this remobilization is complete, cells undergo a vacuolar-type of programmed cell death2, ultimately leading to the death of the entire organ. But how do cells from a senescing leaf ‘know’ when to die? If the cell death process per se is initiated too early, remobilization may not be completed, rendering it futile. This suggests the presence of a ‘sensing’ mechanism that coordinates the remobilization phase with the onset of cell death during leaf senescence. Here, using Arabidopsis thaliana functional stay-green mutants, we show that senescing cells are wired to metabolically dissipate the cytosolic arginine pool, which otherwise represses the progression of leaf senescence. We propose a model in which a senescing cell uses this pool as a proxy for the completion of nitrogen remobilization and to accurately time the subsequent induction of cell death.},
	language = {en},
	number = {7},
	urldate = {2026-07-24},
	journal = {Nature Plants},
	publisher = {Nature Publishing Group},
	author = {Hussain, Shah and Boussardon, Clément and Keech, Olivier},
	month = jul,
	year = {2026},
	keywords = {Abiotic, Cell fate},
	pages = {1325--1333},
}

Leaf senescence aims to degrade cellular components to recover valuable nutrients and reallocate them to other organs1. Once this remobilization is complete, cells undergo a vacuolar-type of programmed cell death2, ultimately leading to the death of the entire organ. But how do cells from a senescing leaf ‘know’ when to die? If the cell death process per se is initiated too early, remobilization may not be completed, rendering it futile. This suggests the presence of a ‘sensing’ mechanism that coordinates the remobilization phase with the onset of cell death during leaf senescence. Here, using Arabidopsis thaliana functional stay-green mutants, we show that senescing cells are wired to metabolically dissipate the cytosolic arginine pool, which otherwise represses the progression of leaf senescence. We propose a model in which a senescing cell uses this pool as a proxy for the completion of nitrogen remobilization and to accurately time the subsequent induction of cell death.

@article{collani_soppis_2026,
	title = {{SoPPIs}: a highly parallelized protein–protein-interaction screening method in prokaryotic and eukaryotic hosts},
	volume = {54},
	issn = {1362-4962},
	shorttitle = {{SoPPIs}},
	url = {https://doi.org/10.1093/nar/gkag716},
	doi = {10.1093/nar/gkag716},
	abstract = {Protein–protein interactions (PPIs) are at the heart of most cellular processes but despite recent progress, their genome-wide analysis remains challenging. With this in mind, we have developed SoPPIs (sequencing of PPIs), a powerful method that facilitates parallelized PPI analyses using an innovative combination of the split-Cre/loxP system and high-throughput DNA sequencing. Sequential recombination of plasmids encodes information about pairs of interacting proteins in recombined DNA, facilitating their easy and cost-efficient identification by next-generation sequencing. Importantly, SoPPIs works with most soluble proteins, can be implemented in any cell type that can be transformed with episomal plasmids, and is in principle capable of interrogating all possible PPIs in an organism in a single experiment. To demonstrate the power of SoPPIs, we analyzed the composition of the Arabidopsis thaliana LSm/Sm ring, an evolutionarily highly conserved core component of the spliceosome and performed parallelized library screens to identify LSm/Sm-interacting proteins. Given its versatility and usability, we expect SoPPIs to quickly gain popularity and help provide insights into the PPI networks underlying complex biological systems.},
	number = {14},
	urldate = {2026-07-24},
	journal = {Nucleic Acids Research},
	author = {Collani, Silvio and Nardeli, Sarah Muniz and Chowdary, K V S K Arjun and Goretti, Daniela and Schmid, Markus},
	month = aug,
	year = {2026},
	pages = {gkag716},
}

Protein–protein interactions (PPIs) are at the heart of most cellular processes but despite recent progress, their genome-wide analysis remains challenging. With this in mind, we have developed SoPPIs (sequencing of PPIs), a powerful method that facilitates parallelized PPI analyses using an innovative combination of the split-Cre/loxP system and high-throughput DNA sequencing. Sequential recombination of plasmids encodes information about pairs of interacting proteins in recombined DNA, facilitating their easy and cost-efficient identification by next-generation sequencing. Importantly, SoPPIs works with most soluble proteins, can be implemented in any cell type that can be transformed with episomal plasmids, and is in principle capable of interrogating all possible PPIs in an organism in a single experiment. To demonstrate the power of SoPPIs, we analyzed the composition of the Arabidopsis thaliana LSm/Sm ring, an evolutionarily highly conserved core component of the spliceosome and performed parallelized library screens to identify LSm/Sm-interacting proteins. Given its versatility and usability, we expect SoPPIs to quickly gain popularity and help provide insights into the PPI networks underlying complex biological systems.

@article{frew_soil_2026,
	title = {Soil sampling strategy determines detection of arbuscular mycorrhizal fungi and reveals phylogenetically structured bias},
	volume = {221},
	issn = {0038-0717},
	url = {https://www.sciencedirect.com/science/article/pii/S0038071726001690},
	doi = {10.1016/j.soilbio.2026.110250},
	abstract = {Arbuscular mycorrhizal (AM) fungal communities are highly patchy at microscales, meaning sampling decisions can strongly shape the communities detected. We used a long-term fertilisation experiment to compare three sampling strategies and two sample preservation methods to assess their influence on AM fungal diversity and taxon-specific detection. We found that sequencing individual subsamples detected substantially more taxa than compositing, which missed rare fungi and introduced phylogenetically structured biases that underrepresented certain fungal lineages. Short-term drying and freezing produced comparable community profiles. Together, these results show that AM fungal detection depends strongly on sampling strategy, highlighting the need to align sampling scales with the microscale processes structuring these symbioses.},
	urldate = {2026-07-24},
	journal = {Soil Biology and Biochemistry},
	author = {Frew, Adam and Dhull, Manjeet and Power, Sally and Aguilar-Trigueros, Carlos A.},
	month = oct,
	year = {2026},
	keywords = {Arbuscular mycorrhizal fungi, Community composition, Grassland, Phosphorus fertilisation, Sampling strategy, Soil microbial diversity, Spatial heterogeneity},
	pages = {110250},
}

Arbuscular mycorrhizal (AM) fungal communities are highly patchy at microscales, meaning sampling decisions can strongly shape the communities detected. We used a long-term fertilisation experiment to compare three sampling strategies and two sample preservation methods to assess their influence on AM fungal diversity and taxon-specific detection. We found that sequencing individual subsamples detected substantially more taxa than compositing, which missed rare fungi and introduced phylogenetically structured biases that underrepresented certain fungal lineages. Short-term drying and freezing produced comparable community profiles. Together, these results show that AM fungal detection depends strongly on sampling strategy, highlighting the need to align sampling scales with the microscale processes structuring these symbioses.

@article{liu_rethinking_2026,
	title = {Rethinking {Wound} {Signaling} in {Plant} {Development}: {The} {Epigenetic} and {Metabolic} {Nexus} of {JA}-{Mediated} {Bud} {Activation}},
	issn = {0022-0957},
	shorttitle = {Rethinking {Wound} {Signaling} in {Plant} {Development}},
	url = {https://doi.org/10.1093/jxb/erag346},
	doi = {10.1093/jxb/erag346},
	urldate = {2026-07-24},
	journal = {Journal of Experimental Botany},
	author = {Liu, Puyuan and Bhalerao, Rishikesh P and Yang, Qinsong and Li, Guolei},
	month = jul,
	year = {2026},
	pages = {erag346},
}

@article{hodek_rapid_2026,
	title = {Rapid and targeted {HILIC}-{MS}/{MS} quantification of urinary metabolites reveals metabolic alterations in {COVID}-19 patients},
	volume = {18},
	issn = {1759-9660},
	url = {https://dx.doi.org/10.1039/d6ay00400h},
	doi = {10.1039/d6ay00400h},
	abstract = {Urinary metabolites and their concentrations serve as biomarkers for identification of metabolic pathways that relate to specific diseases; therefore, fast},
	language = {en},
	number = {25},
	urldate = {2026-07-24},
	journal = {Analytical Methods},
	publisher = {The Royal Society of Chemistry},
	author = {Hodek, Ondrej and Edman, Anna and Granvik, Christoffer and Lind, Alicia and Överby, Anna K. and Gutensohn, Mareike and Johansson, Annika I.},
	month = jul,
	year = {2026},
	pages = {5317--5323},
}

Urinary metabolites and their concentrations serve as biomarkers for identification of metabolic pathways that relate to specific diseases; therefore, fast