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The nucleus reuniens drives hippocampal goal‑directed trajectory sequences for route planning
(2023)
Goal-directed spatial navigation requires accurate estimates of one’s position and destination, as well as careful planning of a route between them to avoid known obstacles in the environment. Despite its general importance across species, the neural circuitry supporting the ability for route planning remains largely unclear. Previous studies described that place cells in the hippocampal CA1 encode the animal's next movement direction (Wood et al., 2000; Ito et al., 2015) and upcoming navigational routes (Pfeiffer & Foster, 2013). However, it has been shown that part of the CA1 activity representing the animal’s future behaviors is not necessarily generated in the hippocampus, but is derived from the medial prefrontal cortex (PFC) via the nucleus reuniens of the thalamus (RE) (Ito et al., 2015). Notably, the importance of the PFC in navigation has been demonstrated in several studies, including the recent finding of a goal map in the orbitofrontal cortex (Basu et al., 2021). Therefore, I hypothesized that information flow from the PFC to CA1 via the RE plays a key role in route planning.
To assess the animals' route planning ability, I designed a new navigation task in which a rat has to navigate to a fixed target location from various starting positions in an arena. Furthermore, by adding an L-shaped wall in the maze and removing all light sources in the experimental room, this task forced the animals to plan a wall-avoiding route without relying on direct sensory perceptions. I confirmed that rats could learn this task successfully, memorizing the wall location and taking a smooth wall-avoidance route. To test the role of the RE, I inactivated RE neurons by expressing the inhibitory opsin SwiChR++, which resulted in a significant deficit in the animal’s route planning ability, taking a longer non-smooth path to the destination. By contrast, this manipulation did not affect navigation performance when a straight goal-directed route was available, suggesting a specific role of the RE in route planning. I further found that DREADDs-mediated inactivation of neurons in the bilateral hippocampi resulted in a similar deficit in route planning ability, implying cooperation between the RE and the hippocampus.
I finally examined the activity of hippocampal CA1 neurons with and without RE inactivation. While neurons in the hippocampus exhibited brief trajectory sequences corresponding to the animal’s subsequent goal-directed journey, I found that this goal-directed bias of trajectory events was significantly reduced by RE inactivation, likely associated with route-planning deficits in these animals.
Altogether, this dissertation demonstrates the role of the RE from both behavioral and neural coding perspectives, identifying a pivotal circuit element supporting the animal’s route-planning ability.
Fungi belonging to the Rhytismatales (Ascomycota) are parasites or endophytes of plants, some are saprophytes. Their fruiting bodies are localized in different organs of the host plants belonging to many different families of gymnosperms and angiosperms. Many species of Rhytismatales are known on species of Pinaceae, Ericaceae, and Poaceae. These fungi usually have ascomata that are more or less embedded in host tissue and open by longitudinal or radial splits. They have a more or less carbonized covering stroma, thin-walled, iodine negative asci, and ascospores usually covered by gelatinous sheaths.
In the present study, two lists of species of Rhytismatales in China are presented. One is based on literature and includes 103 species in 15 genera. The second one contains the names of the species in the present study, 57 species in 20 genera based on 90 specimens I collected in the Yunnan and Anhui province in China during July to August in 2001. 31 species in the second list are new species or new records for China, so we presently know 134 species in 22 genera of Rhytismatales for China. 28 new species of Rhytismatales are proposed, 21 species from the Yunnan province and seven from the Anhui province. Among them, three new species are proposed in three new genera, Nematococcomyces, New Genus 1, and New Genus 2, respectively. The 28 new species are Cerion sp., Coccomyces spp. 1-2, Colpoma spp. 1-2, Hypoderma spp. 1-6, Lirula sp., Lophodermella sp., Lophodermium spp. 1-5, Nematococcomyces rhododendri C.-L. Hou, M. Piepenbr. & Oberw., Neococcomyces sp., New Genus 1 sp., New Genus 2 sp., Rhytisma spp. 1-2, Soleella sp., Terriera spp. 1-2, and Therrya sp. The genus Davisomycella is proposed as a synonym of Lophodermella based on observations of the morphology, ecology, and the infected organ. The four genera Cerion, Naemacyclus, Terriera, and Therrya, and three species, Hypoderma rubi, Lophodermium uncinatum, and Naemacyclus pinastri, are reported for the first time for China. All the new taxa, the newly recorded ones, as well as six species which had not been illustrated in detail before, are carefully described and illustrated by line drawings in the present study.
The results show that species of Rhytismatales are highly diverse especially in the natural vegetation in high mountainous areas in China. Most species of Rhytismatales are conspicuously host specific. The diversity of Rhytismatales is closely related to that of the preferred hosts, which are members of Pinaceae, Ericaceae, and Cupressaceae. Based on the detailed morphological observations, the significance of different morphological characteristics for a natural classification of Rhytismatales is discussed. Genera are traditionally defined by character states of a few characteristics, namely the opening patterns of ascomata, the depth of ascomata in the host tissue, and asci and ascospore shape. Data from collections in the field, detailed morphological investigation, and molecular data show, however, that the ecology, the infected organ, the host relationship, and many other characteristics have to be combined to circumscribe natural groups.
The discussion of the systematic significance of morphological characteristics is complemented by molecular data. In the present study, partial nuclear large subunit rDNA sequences of 52 specimens representing 38 species are used to analyse phylogenetic relationships for members of Rhytismatales.
Most species of Rhytismatales are placed in a monophyletic group corresponding to the Rhytismatales in the Maximum Parsimony analysis. The delimitation of the Rhytismatales from the Helotiales is, however, difficult. Cyclaneusma minus should be transferred from the Rhytismatales to the Helotiales, and Cudonia circinans and Spathularia flavida from the Helotiales to the Rhytismatales. These tranfers have previously been proposed based on SSU rDNA analysis by other authors. New Genus 1 sp. has morphological characteristics typical for species of Rhytismatales. In the LSU rDNA analysis, however, it is more closely related to Helotiales rather than toRhytismatales. Therefore New Genus 1 sp. is placed in the Helotiales.
Tryblidiopsis pinastri is morphologically intermediate between members of Rhytismataceae and Cudoniaceae. LSU rDNA sequences in the present study show that T. pinastri is more closely related to species of Cudoniaceae. Therefore, this species is removed from the Rhytismataceae to the Cudoniaceae. The delimitation of further families could not be resolved in the present analysis.
Though many new morphological, ecological, and molecular phylogenetic findings are contributed for the first time, the systematic conclusions at generic, family, and order level can only be fragmentary in the present study. With more collections and more molecular data of the worldwide 450 known and many more unknown species of Rhytismatales at hand, a natural system combining morphological and molecular analysis can be elaborated.
Cytochrome P450 (CYP) enzymes oxidize, peroxidize and/or reduce cholesterol, vitamins, steroids, xenobiotics and numerous pharmacological substances in an oxygen- and NADPHdependent manner. Since many CYP isozymes are also capable of metabolizing arachidonic acid to biologically active products, CYP enzymes are often described as the third pathway of arachidonic acid metabolism i.e., in addition to cyclooxygenases and lipoxygenases. CYP enzymes are predominantly expressed in the liver while others, such as members of the CYP 2J, CYP 2C and CYP 4A subfamilies, can be detected in extrahepatic tissues, particularly in the cardiovascular system. Recent data suggest that a CYP 2C enzyme(s) expressed in coronary artery endothelial cells generate epoxyeicosatrienoic acids (5,6-; 8,9-; 11,12- and 14,15-EET) which contribute to the acute control of vascular tone and the longterm regulation of vascular homeostasis.
The expression of CYP 2C in coronary artery endothelial cells is regulated by a number of stimuli, such as cyclic stretch and fluid shear stress as well as by the corticosteroid cortisol and a number of CYP substrates (nifedipine, cerivastatin and -naphthoflavone). However, the signalling pathways and the transcription factors involved in regulating the expression of the gene are unknown.
Since most of the CYP 2C enzymes are transcriptionally regulated, we were interested in identifying the CYP 2C isoform(s) expressed in porcine coronary artery endothelial cells (PCAEC) as well as determining its/their promoter sequence(s). The overall goal was to study the involvement of different transcription factor binding elements in the regulation of the CYP 2C gene(s). Porcine coronary arteries were used given the possibility of analysing the results obtained at the cellular level with alterations in vascular function. Comparison of the porcine CYP 2C and the human CYP 2C8 and 2C9 promoters was also a major goal of this study.
To identify the relevant porcine CYP 2C isoform nested RT-PCR was performed using total RNA from porcine coronary artery endothelial cells. Comparison of the sequence of the product of this reaction with the NCBI database suggested that the CYP 2C expressed in PCAEC was approximately 85% homologous with the human CYP 2C9 enzyme. To obtain the full length CYP 2C isoform 5´ rapid amplification of cDNA end (5´ RACE) was performed using a downstream reverse gene specific primer which is conserved in all of the porcine CYP 2C isoforms. The intention behind using such a primer was to amplify all the possible CYP cDNAs expressed in PCAEC. With the 5´ RACE technology it was possible not only to identify the exact isoform (CYP 2C34) expressed in PCAEC, but it was also possible to amplify 550 bp of the 5´ upstream region. This result was authenticated by comparing the protein/nucleotide sequence with other human CYP 2C genes such as CYP 2C8 and CYP 2C9 as well as different porcine CYP 2C genes (CYP 2C34, CYP 2C49). Multiple protein/nucleotide sequence alignment revealed approximately 85-90% sequence identity. An exon1-2 specific radio-labelled probe of the CYP 2C34 gene was then used to screen a porcine genomic library for positive genomic clones containing the promoter region of the CYP 2C34 gene.
For the isolation of 5´ flanking region of CYP 2C34 gene a PCR-based directional genome walking strategy was used in which the positive porcine genomic BAC clones were taken as a DNA template. Four arbitrarily designed universal walking primers and a gene-specific primer derived from the CYP 2C34 gene sequence were employed and led to the identification and isolation of 1.4 kb of the 5´ flanking region.
The 1.4 kb 5´ flanking region of CYP 2C34 gene contains multiple transcription factor binding sites including glucocorticoid-responsive element (GRE), hypoxia-responsive element (HRE), CAAT-enhancer binding protein (C/EBP), stress responsive element (STRE) consensus sequences. CYP 2C34 promoter constructs were generated and reporter gene activity (luciferase) activity was compared with that of a promoterless vector (pGL3-Basic) at first in HEK cells and then in PCAEC. After using cortisol as a positive control to demonstrate that the promoter constructs generated were functional we determined the effects of physiologically relevant stimuli i.e., hypoxia and cyclic stretch. Additional experiments with zinc sulphate were performed in a preliminary analysis of the role of Zn2+ inducible transcription factors and might be cooperative heterodimerization formation with these transcription factor with C/EBP in the regulation of CYP 2C34 expression. With all these stimuli, reporter gene activity of CYP 2C34 promoter was significantly (3-8 fold) increased over values obtained in unstimulated cells.
Analysis of the regions that are essential for the induction of promoter activity in response to the different stimuli of interest have to be performed in combination with gel shift assays, siRNA experiments as well as site-directed mutagenesis experiments. Comparison of the regulation of the CYP 2C34 gene and correlation with changes in vascular function (in isolated porcine coronary arteries) should deliver information relevant to the regulation of the CYP 2C enzyme expressed in human coronary artery endothelial cells. The recent demonstration of a clinically relevant role for CYP 2C9 in coronary heart disease underlines the importance of such a study.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions, using signals from nanopore direct RNA sequencing. CHEUI processes observed and expected signals with convolutional neural networks to achieve high single-molecule accuracy and outperform other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A significant roadblock hindering progress in epitranscriptomics is the identification of more than one modification in individual transcript molecules. We address this with CHEUI (CH3 (methylation) Estimation Using Ionic current). CHEUI predicts N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual molecules from the same sample, the stoichiometry at transcript reference sites, and differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals to achieve high single-molecule, transcript-site, and stoichiometry accuracies in multiple tests using synthetic RNA standards and cell line data. CHEUI’s capability to identify two modification types in the same sample reveals a co-occurrence of m6A and m5C in individual mRNAs in cell line and tissue transcriptomes. CHEUI provides new avenues to discover and study the function of the epitranscriptome.