OAR@½ñÈÕºÚÁÏ Community:
/library/oar/handle/123456789/378
2026-08-02T20:41:32ZPhylogenomic discordance among plastid genes in endangered Maltese Limonium
/library/oar/handle/123456789/148252
Title: Phylogenomic discordance among plastid genes in endangered Maltese Limonium
Authors: Agius, Dorita; Poczai, Peter
Abstract: Chloroplast genomes are widely used in plant phylogenetics, yet plastome-wide analyses increasingly
reveal heterogeneity among gene trees. Limonium, a genus of over 600 species, centred in the
Mediterranean basin, exhibits substantial taxonomic complexity driven by hybridization, apomixis,
and polyploidy, but plastome data from its centre of diversity have been lacking. We report the first
complete plastomes from Mediterranean Limonium, sequencing the endangered Maltese endemics
L. melitense (154,139 bp) and L. zeraphae (154,142 bp), and compare them with seven plastomes
from the Irano-Turanian and Chinese-Japanese regions. Genome sizes range from 150,515 to
174,033 bp, with variation primarily associated with inverted repeat (IR) expansion and contraction
and differences in repeat content. Highly variable coding genes (ndhF, ycf1, rpl32) and several
intergenic regions were identified as candidate molecular markers, and 382 simple sequence repeats
were detected across nine plastomes. Structural comparisons revealed IR boundary shifts, repeat
variation, and pseudogenization of rpl22 in L. zeraphae. Plastome-wide maximum likelihood analyses
strongly supported the monophyly of Limonium and recovered geographically structured clades.
To evaluate phylogenetic concordance, we analysed individual plastid protein-coding genes and
inferred a species tree under the multispecies coalescent. Gene-tree conflict was localized to specific
nodes, particularly involving the placement of L. otolepis and relationships among East Asian taxa,
indicating heterogeneous plastome signal despite strong concatenated support. Selection analyses
based on Ka/Ks ratios and complementary site-mode approaches identified six genes (ccsA, rpl22,
rpoA, rps8, ycf1, ycf2) exhibiting signatures of positive selection. These results demonstrate dynamic
plastome evolution and localized phylogenetic discordance within Limonium, refining the evolutionary
framework of the genus and informing plastome-based inference in recent plant radiations.2026-01-01T00:00:00ZGaining insights into epigenetic memories through artificial intelligence and omics science in plants
/library/oar/handle/123456789/136669
Title: Gaining insights into epigenetic memories through artificial intelligence and omics science in plants
Authors: Dobránszki, Judit; Vassileva, Valya; Agius, Dorita; Moschou, Panagiotis Nikolaou; Gallusci, Philippe; Berger, Margot M. J.; Farkas, Dóra; Basso, Marcos Fernando; Martinelli, Federico
Abstract: Plants exhibit remarkable abilities to learn, communicate, memorize, and develop stimulus-dependent decision-making circuits. Unlike animals, plant memory is uniquely rooted in cellular, molecular, and biochemical networks, lacking specialized organs for these functions. Consequently, plants can effectively learn and respond to diverse challenges, becoming used to recurring signals. Artificial intelligence (AI) and machine learning (ML) represent the new frontiers of biological sciences, offering the potential to predict crop behavior under environmental stresses associated with climate change. Epigenetic mechanisms, serving as the foundational blueprints of plant memory, are crucial in regulating plant adaptation to environmental stimuli. They achieve this adaptation by modulating chromatin structure and accessibility, which contribute to gene expression regulation and allow plants to adapt dynamically to changing environmental conditions. In this review, we describe novel methods and approaches in AI and ML to elucidate how plant memory occurs in response to environmental stimuli and priming mechanisms. Furthermore, we explore innovative strategies exploiting transgenerational memory for plant breeding to develop crops resilient to multiple stresses. In this context, AI and ML can aid in integrating and analyzing epigenetic data of plant stress responses to optimize the training of the parental plants.2025-01-01T00:00:00ZPlant memory and communication of encounters
/library/oar/handle/123456789/129223
Title: Plant memory and communication of encounters
Authors: Dobránszki, Judit; Agius, Dorita; Berger, Margot M.J.; Moschou, Panagiotis N.; Gallusci, Philippe; Martinelli, Federico
Abstract: Plants can communicate with each other and other living organisms in a very sophisticated manner. They use biological molecules and even physical cues to establish a molecular dialogue with beneficial organisms as well as with their predators and pathogens. Several studies were recently published that explore how plants communicate with each other about their previous encounters or stressful experiences. However, there is an almost complete lack of knowledge about how these intra- and interspecies communications are directly regulated at the epigenetic level. In this perspective article we provide new hypotheses for the possible epigenetic modifications that regulate plant responses at the communication level.2024-01-01T00:00:00ZIschnura genei (Rambur, 1842)
/library/oar/handle/123456789/124307
Title: Ischnura genei (Rambur, 1842)
Authors: Boudot, Jean-Pierre; Degabriele, Godwin
Abstract: Distribution
World: Ischnura genei is an insular species endemic to
the western Mediterranean.; Europe: Ischnura genei is endemic to the Tuscan archipelago
and the Tyrrhenian and Maltese islands, and is
common and widespread within its range. It is absent
from mainland Europe and replaces I. elegans on the
above islands, except in Giglio where both species
cohabit. A male and female were caught on the Italian
island of Linosa, between the Maltese islands and the
Tunisian coast, in 2010 (Corso et al. 2012). Whether
they belonged to a local population breeding in the few
man-made water tanks present on the island or were
vagrants is unknown.2015-01-01T00:00:00Z