@article{bag_photosynthetic_2025,
	title = {Photosynthetic advantages of conifers in the boreal forest},
	volume = {30},
	doi = {10.1016/j.tplants.2024.10.018},
	abstract = {Boreal conifers – the ‘Christmas trees’ – maintain their green needles over the winter by retaining their chlorophyll. These conifers face the toughest challenge in February and March, when subzero temperatures coincide with high solar radiation. To balance the light energy they harvest with the light energy they utilise, conifers deploy various mechanisms in parallel. These include, thylakoid destacking, which facilitates direct energy transfer from Photosystem II (PSII) to Photosystem I (PSI), and excess energy dissipation through sustained nonphotochemical quenching (NPQ). Additionally, they upregulate alternative electron transport pathways to safely reroute excess electrons while maintaining ATP production. From an evolutionary and ecological perspective, we consider these mechanisms as part of a comprehensive photosynthetic alteration, which enhances our understanding of winter acclimation in conifers and their dominance in the boreal forests. © 2024 The Authors},
	number = {4},
	journal = {Trends in Plant Science},
	author = {Bag, P. and Ivanov, A.G. and Huner, N.P. and Jansson, S.},
	year = {2025},
	keywords = {alternative electron transport, conifers, direct energy transfer, flavodiiron proteins, nonphotochemical quenching (NPQ), photosystems},
	pages = {409--423},
}

Boreal conifers – the ‘Christmas trees’ – maintain their green needles over the winter by retaining their chlorophyll. These conifers face the toughest challenge in February and March, when subzero temperatures coincide with high solar radiation. To balance the light energy they harvest with the light energy they utilise, conifers deploy various mechanisms in parallel. These include, thylakoid destacking, which facilitates direct energy transfer from Photosystem II (PSII) to Photosystem I (PSI), and excess energy dissipation through sustained nonphotochemical quenching (NPQ). Additionally, they upregulate alternative electron transport pathways to safely reroute excess electrons while maintaining ATP production. From an evolutionary and ecological perspective, we consider these mechanisms as part of a comprehensive photosynthetic alteration, which enhances our understanding of winter acclimation in conifers and their dominance in the boreal forests. © 2024 The Authors

@article{dikaya_arabidopsis_2025,
	title = {The {Arabidopsis} thaliana core splicing factor {PORCUPINE}/{SmE1} requires intron-mediated expression},
	volume = {20},
	doi = {10.1371/journal.pone.0318163},
	abstract = {Plants are prone to genome duplications and tend to preserve multiple gene copies. This is also the case for the genes encoding the Sm proteins of Arabidopsis thaliana (L). The Sm proteins are best known for their roles in RNA processing such as pre-mRNA splicing and nonsense-mediated mRNA decay. In this study, we have taken a closer look at the phylogeny and differential regulation of the SmE-coding genes found in A. thaliana, PCP/SmE1, best known for its cold-sensitive phenotype, and its paralog, PCPL/SmE2. The phylogeny of the PCP homologs in the green lineage shows that SmE duplications happened multiple times independently in different plant clades and that the duplication that gave rise to PCP and PCPL occurred only in the Brassicaceae family. Our analysis revealed that A. thaliana PCP and PCPL proteins, which only differ in two amino acids, exhibit a very high level of functional conservation and can perform the same function in the cell. However, our results indicate that PCP is the prevailing copy of the two SmE genes in A. thaliana as it is more highly expressed and that the main difference between PCP and PCPL resides in their transcriptional regulation, which is strongly linked to intronic sequences. Our results provide insight into the complex mechanisms that underlie the differentiation of the paralogous gene expression as an adaptation to stress. © 2025 Dikaya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
	number = {3 March},
	journal = {PLoS ONE},
	author = {Dikaya, V. and Rojas-Murcia, N. and Benstein, R.M. and Eiserhardt, W.L. and Schmid, M.},
	year = {2025},
	keywords = {Arabidopsis thaliana, Gene expression, Genomics, Introns, Phenotypes, Phylogenetic analysis, Seedlings, Sequence alignment},
}

Plants are prone to genome duplications and tend to preserve multiple gene copies. This is also the case for the genes encoding the Sm proteins of Arabidopsis thaliana (L). The Sm proteins are best known for their roles in RNA processing such as pre-mRNA splicing and nonsense-mediated mRNA decay. In this study, we have taken a closer look at the phylogeny and differential regulation of the SmE-coding genes found in A. thaliana, PCP/SmE1, best known for its cold-sensitive phenotype, and its paralog, PCPL/SmE2. The phylogeny of the PCP homologs in the green lineage shows that SmE duplications happened multiple times independently in different plant clades and that the duplication that gave rise to PCP and PCPL occurred only in the Brassicaceae family. Our analysis revealed that A. thaliana PCP and PCPL proteins, which only differ in two amino acids, exhibit a very high level of functional conservation and can perform the same function in the cell. However, our results indicate that PCP is the prevailing copy of the two SmE genes in A. thaliana as it is more highly expressed and that the main difference between PCP and PCPL resides in their transcriptional regulation, which is strongly linked to intronic sequences. Our results provide insight into the complex mechanisms that underlie the differentiation of the paralogous gene expression as an adaptation to stress. © 2025 Dikaya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

@article{biancucci_mutations_2025,
	title = {Mutations in {HEADING} {DATE} 1 affect transcription and cell wall composition in rice},
	issn = {0032-0889},
	url = {https://doi.org/10.1093/plphys/kiaf120},
	doi = {10.1093/plphys/kiaf120},
	abstract = {Plants utilize environmental information to modify their developmental trajectories for optimal survival and reproduction. Over a century ago, day length (photoperiod) was identified as a major factor influencing developmental transitions, particularly the shift from vegetative to reproductive growth. In rice (Oryza sativa), exposure to day lengths shorter than a critical threshold accelerates flowering, while longer days inhibit this process. This response is mediated by HEADING DATE 1 (Hd1), a zinc finger transcription factor that is central in the photoperiodic flowering network. Hd1 acts as a repressor of flowering under long days but functions as a promoter of flowering under short days. However, how global transcription of genes downstream of Hd1 changes in response to the photoperiod is still not fully understood. Furthermore, it is unclear whether Hd1 target genes are solely involved in flowering time control or mediate additional functions. In this study, we utilized RNA-Seq to analyze the transcriptome of hd1 mutants under both long and short day conditions. We identified genes involved in the phenylpropanoid pathway that are deregulated under long days in the mutant. Quantitative profiling of cell wall components and abiotic stress assays suggested that Hd1 is involved in processes considered unrelated to flowering control. This indicates that day length perception and responses are intertwined with physiological processes beyond flowering.},
	urldate = {2025-04-04},
	journal = {Plant Physiology},
	author = {Biancucci, Marco and Chirivì, Daniele and Baldini, Alessio and Badenhorst, Eugene and Dobetti, Fabio and Khahani, Bahman and Formentin, Elide and Eguen, Tenai and Turck, Franziska and Moore, John P and Tavakol, Elahe and Wenkel, Stephan and Lo Schiavo, Fiorella and Ezquer, Ignacio and Brambilla, Vittoria and Horner, David and Chiara, Matteo and Perrella, Giorgio and Betti, Camilla and Fornara, Fabio},
	month = mar,
	year = {2025},
	pages = {kiaf120},
}

Plants utilize environmental information to modify their developmental trajectories for optimal survival and reproduction. Over a century ago, day length (photoperiod) was identified as a major factor influencing developmental transitions, particularly the shift from vegetative to reproductive growth. In rice (Oryza sativa), exposure to day lengths shorter than a critical threshold accelerates flowering, while longer days inhibit this process. This response is mediated by HEADING DATE 1 (Hd1), a zinc finger transcription factor that is central in the photoperiodic flowering network. Hd1 acts as a repressor of flowering under long days but functions as a promoter of flowering under short days. However, how global transcription of genes downstream of Hd1 changes in response to the photoperiod is still not fully understood. Furthermore, it is unclear whether Hd1 target genes are solely involved in flowering time control or mediate additional functions. In this study, we utilized RNA-Seq to analyze the transcriptome of hd1 mutants under both long and short day conditions. We identified genes involved in the phenylpropanoid pathway that are deregulated under long days in the mutant. Quantitative profiling of cell wall components and abiotic stress assays suggested that Hd1 is involved in processes considered unrelated to flowering control. This indicates that day length perception and responses are intertwined with physiological processes beyond flowering.

@article{jiang_incorporating_2025,
	title = {Incorporating genetic load contributes to predicting {Arabidopsis} thaliana’s response to climate change},
	volume = {16},
	copyright = {2025 The Author(s)},
	issn = {2041-1723},
	url = {https://www.nature.com/articles/s41467-025-58021-z},
	doi = {10.1038/s41467-025-58021-z},
	abstract = {Understanding how species respond to climate change can facilitate species conservation and crop breeding. Current prediction frameworks about population vulnerability focused on predicting range shifts or local adaptation but ignored genetic load, which is also crucial for adaptation. By analyzing 1115 globally distributed Arabidopsis thaliana natural accessions, we find that effective population size (Ne) is the major contributor of genetic load variation, both along genome and among populations, and can explain 74-94\% genetic load variation in natural populations. Intriguingly, Ne affects genetic load by changing both effectiveness of purifying selection and GC biased gene conversion strength. In particular, by incorporating genetic load, genetic offset and species distribution models (SDM), we predict that, the populations at species’ range edge are generally at higher risk. The populations at the eastern range perform poorer in all aspects, southern range have higher genetic offset and lower SDM suitability, while northern range have higher genetic load. Among the diverse natural populations, the Yangtze River basin population is the most vulnerable population under future climate change. Overall, here we deciphered the driving forces of genetic load in A. thaliana, and incorporated SDM, local adaptation and genetic load to predict the fate of populations under future climate change.},
	language = {en},
	number = {1},
	urldate = {2025-04-04},
	journal = {Nature Communications},
	author = {Jiang, Juan and Chen, Jia-Fu and Li, Xin-Tong and Wang, Li and Mao, Jian-Feng and Wang, Bao-Sheng and Guo, Ya-Long},
	month = mar,
	year = {2025},
	note = {Publisher: Nature Publishing Group},
	keywords = {Conservation biology, Evolutionary genetics, Molecular evolution, Population genetics},
	pages = {2752},
}

Understanding how species respond to climate change can facilitate species conservation and crop breeding. Current prediction frameworks about population vulnerability focused on predicting range shifts or local adaptation but ignored genetic load, which is also crucial for adaptation. By analyzing 1115 globally distributed Arabidopsis thaliana natural accessions, we find that effective population size (Ne) is the major contributor of genetic load variation, both along genome and among populations, and can explain 74-94% genetic load variation in natural populations. Intriguingly, Ne affects genetic load by changing both effectiveness of purifying selection and GC biased gene conversion strength. In particular, by incorporating genetic load, genetic offset and species distribution models (SDM), we predict that, the populations at species’ range edge are generally at higher risk. The populations at the eastern range perform poorer in all aspects, southern range have higher genetic offset and lower SDM suitability, while northern range have higher genetic load. Among the diverse natural populations, the Yangtze River basin population is the most vulnerable population under future climate change. Overall, here we deciphered the driving forces of genetic load in A. thaliana, and incorporated SDM, local adaptation and genetic load to predict the fate of populations under future climate change.

@article{casanova-saez_suitable_2025,
	title = {A suitable strategy to find {IAA} metabolism mutants},
	volume = {177},
	copyright = {© 2025 The Author(s). Physiologia Plantarum published by John Wiley \& Sons Ltd on behalf of Scandinavian Plant Physiology Society.},
	issn = {1399-3054},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/ppl.70166},
	doi = {10.1111/ppl.70166},
	abstract = {Indole-3-acetic acid (IAA), the most common form of auxin, is involved in a great range of plant physiological processes. IAA is synthesized from the amino acid tryptophan and can be transported and inactivated in a myriad of ways. Despite intense research efforts, there are still dark corners in our comprehension of IAA metabolism and its interplays with other pathways. Genetic screens are a powerful tool for unbiasedly looking for new players in a given biological process. However, pleiotropism of auxin-related phenotypes and indirect effects make it necessary to incorporate additional screening steps to specifically find mutants affected in IAA homeostasis. We previously developed and validated a high-throughput methodology to simultaneously quantify IAA, key precursors, and inactive forms from as little as 10 mg of fresh tissue. We have carried out a genetic screening to identify mutants involved in IAA metabolism. Auxin reporters DR5pro:VENUS and 35Spro:DII-VENUS were EMS-mutagenized and subjected to a parallel morphological and reporter-signal pre-screen. We then obtained the auxin metabolite profile of 325 M3 selected lines and used multivariate data analysis to identify potential IAA-metabolism mutants. To test the screening design, we identified the causal mutations in three of the candidate lines by mapping-by-sequencing: dii365.3, dii571.1 and dr693. These carry new alleles of CYP83A1, MIAO, and SUPERROOT2, respectively, all of which have been previously involved in auxin homeostasis. Our results support the suitability of this approach to find new genes involved in IAA metabolism.},
	language = {en},
	number = {2},
	urldate = {2025-04-04},
	journal = {Physiologia Plantarum},
	author = {Casanova-Sáez, Rubén and Pěnčík, Aleš and Muñoz-Viana, Rafael and Brunoni, Federica and Pinto, Rui and Novák, Ondřej and Ljung, Karin and Mateo-Bonmatí, Eduardo},
	year = {2025},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/ppl.70166},
	pages = {e70166},
}

Indole-3-acetic acid (IAA), the most common form of auxin, is involved in a great range of plant physiological processes. IAA is synthesized from the amino acid tryptophan and can be transported and inactivated in a myriad of ways. Despite intense research efforts, there are still dark corners in our comprehension of IAA metabolism and its interplays with other pathways. Genetic screens are a powerful tool for unbiasedly looking for new players in a given biological process. However, pleiotropism of auxin-related phenotypes and indirect effects make it necessary to incorporate additional screening steps to specifically find mutants affected in IAA homeostasis. We previously developed and validated a high-throughput methodology to simultaneously quantify IAA, key precursors, and inactive forms from as little as 10 mg of fresh tissue. We have carried out a genetic screening to identify mutants involved in IAA metabolism. Auxin reporters DR5pro:VENUS and 35Spro:DII-VENUS were EMS-mutagenized and subjected to a parallel morphological and reporter-signal pre-screen. We then obtained the auxin metabolite profile of 325 M3 selected lines and used multivariate data analysis to identify potential IAA-metabolism mutants. To test the screening design, we identified the causal mutations in three of the candidate lines by mapping-by-sequencing: dii365.3, dii571.1 and dr693. These carry new alleles of CYP83A1, MIAO, and SUPERROOT2, respectively, all of which have been previously involved in auxin homeostasis. Our results support the suitability of this approach to find new genes involved in IAA metabolism.