scholarly journals Genomic Signals of Adaptation towards Mutualism and Sociality in Two Ambrosia Beetle Complexes

Life ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 2 ◽  
Author(s):  
Jazmín Blaz ◽  
Josué Barrera-Redondo ◽  
Mirna Vázquez-Rosas-Landa ◽  
Anahí Canedo-Téxon ◽  
Eneas Aguirre von Wobeser ◽  
...  
Keyword(s):  
Social Evolution ◽  
Regulation Of Gene Expression ◽  
Mutualistic Symbiosis ◽  
Xyleborus Glabratus ◽  
Social Species ◽  
Raffaelea Lauricola ◽  
Constrained Evolution ◽  
Conserved Genes ◽  
And Function ◽  
And Behavior

Mutualistic symbiosis and eusociality have developed through gradual evolutionary processes at different times in specific lineages. Like some species of termites and ants, ambrosia beetles have independently evolved a mutualistic nutritional symbiosis with fungi, which has been associated with the evolution of complex social behaviors in some members of this group. We sequenced the transcriptomes of two ambrosia complexes (Euwallacea sp. near fornicatus–Fusarium euwallaceae and Xyleborus glabratus–Raffaelea lauricola) to find evolutionary signatures associated with mutualism and behavior evolution. We identified signatures of positive selection in genes related to nutrient homeostasis; regulation of gene expression; development and function of the nervous system, which may be involved in diet specialization; behavioral changes; and social evolution in this lineage. Finally, we found convergent changes in evolutionary rates of proteins across lineages with phylogenetically independent origins of sociality and mutualism, suggesting a constrained evolution of conserved genes in social species, and an evolutionary rate acceleration related to changes in selective pressures in mutualistic lineages.

SISTEM PENDUKUNG KEPUTUSAN ANALISIS KEPUASAN MAHASISWA TERHADAP PENGGUNAAN SARANA LABORATORIUM SISTEM INFORMASI

2018 ◽  
Vol 4 (2) ◽  
pp. 150
Author(s):  
Rahmadini Darwas
Keyword(s):  
Service Quality ◽  
Learning Process ◽  
Quality Of Services ◽  
Laboratory Facilities ◽  
Cold Room ◽  
And Function ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
Role And Function

<p><strong><em>Abstract<br /></em></strong><em>Laboratory is one of the supporting facilities in im[roving the learning process. Problems found by students regarding the information system laboratory facilities at STMIK Indonesia Padang are</em><em> the computers that suddenly die when operated, the less cold room, display data is blurred, making the inconvenience in the learning process that causes the students less satisfied with the services provided. Students will feel satisfied if the service is expected to match the received. Therefore, a decision support system is needed to analyze the quality of services provided to the students so that it can support the role and function of the laboratory optimally and what attributes need to be improved the quality of service. The method used is Fuzzy Service Quality (Servqual) method. The results showed that the service quality received was not in accordance with the expected because there is a gap of -1.55 for tangibles dimension. Attributes that need to be improved the quality of services are laboratory space is cool and comfortable, the use of laboratories relevant to the field of science, the responsibility of laboratory assistant, the availability of professional teachers and attitudes and behavior of labor officers.<br /></em></p><p><strong><em>Abstrak<br /></em></strong>Laboratorium merupakan salah satu fasilitas pendukung dalam meningkatkan proses pembelajaran. Permasalahan yang ditemukan mahasiswa mengenai fasilitas laboratorium sistem informasi pada STMIK Indonesia Padang adalah komputer yang tiba-tiba mati saat dioperasikan, ruangan yang kurang dingin, data <em>display</em> yang buram sehingga membuat ketidaknyamanan dalam proses pembelajaran yang menyebabkan mahasiswa kurang puas terhadap layanan yang diberikan. Mahasiswa akan merasa puas apabila layanan yang diharapkan sesuai dengan yang diterima. Oleh sebab itu, diperlukan suatu sistem pendukung keputusan untuk menganalisis kualitas layanan yang diberikan kepada mahasiswa sehingga dapat mendukung peran dan fungsi laboratorium secara optimal serta atribut apa saja yang perlu ditingkatkan kualitas layanannya. Metode yang digunakan adalah metode <em>Fuzzy Service Quality </em>(<em>Servqua</em>l). Hasil penelitian menunjukkan bahwa kualitas layanan yang diterima belum sesuai dengan yang diharapkan karena terdapat <em>gap</em> sebesar -1.55 untuk dimensi <em>tangibles</em>. Atribut yang perlu ditingkatkan kualitas layanannya yaitu ruangan laboratorium yang sejuk dan nyaman, penggunaan laboratorium yang relevan dengan bidang ilmu, tanggungjawab asisten labor, tersedianya tenaga pengajar yang professional dan sikap serta perilaku petugas labor</p><p><strong><em>Kata kunci</em></strong><strong> : sistem pendukung keputusan, laboratorium, <em>fuzzy</em>, <em>servqual</em></strong></p><p><strong><em><br /></em></strong></p>

Understanding Motivating Operations and the Impact on the Function of Behavior

2020 ◽  
Vol 56 (2) ◽  
pp. 119-122
Author(s):  
Doris Adams Hill ◽  
Theoni Mantzoros ◽  
Jonté C. Taylor
Keyword(s):  
Behavioral Interventions ◽  
Special Educators ◽  
Motivating Operations ◽  
Behavior Intervention Plans ◽  
Education Professionals ◽  
Functional Behavior ◽  
Special Education Professionals ◽  
And Function ◽  
And Behavior ◽  
The Impact

Special educators are often considered the experts in their school when it comes to developing functional behavior assessments (FBA) and behavior intervention plans (BIP), yet rarely are they trained much beyond basic antecedents, behaviors, and consequences (ABC). This column discusses concepts that will expand special education professionals’ knowledge to make better decisions regarding interventions for the students they serve. Specifically, the focus is on motivating operations (MO) and function-based interventions and the implications of these on behavior. Knowledge of the concept of MOs can enhance a teacher’s ability to provide evidence-based interventions and more fully developed behavioral interventions for students in their purview.

scholarly journals Differential Regulation of Gonadotropins as Revealed by Transcriptomes of Distinct LH and FSH Cells of Fish Pituitary

2021 ◽  
Vol 22 (12) ◽  
pp. 6478
Author(s):  
Lian Hollander-Cohen ◽  
Matan Golan ◽  
Berta Levavi-Sivan
Keyword(s):  
Follicle Stimulating Hormone ◽  
Differential Regulation ◽  
Receptor Expression ◽  
Hormone Regulation ◽  
Fish Reproduction ◽  
Cell Type ◽  
Conserved Genes ◽  
Transgenic Tilapia ◽  
And Function ◽  
Direct Regulation

From mammals to fish, reproduction is driven by luteinizing hormone (LH) and follicle-stimulating hormone (FSH) temporally secreted from the pituitary gland. Teleost fish are an excellent model for addressing the unique regulation and function of each gonadotropin cell since, unlike mammals, they synthesize and secrete LH and FSH from distinct cells. Only very distant vertebrate classes (such as fish and birds) demonstrate the mono-hormonal strategy, suggesting a potential convergent evolution. Cell-specific transcriptome analysis of double-labeled transgenic tilapia expressing GFP and RFP in LH or FSH cells, respectively, yielded genes specifically enriched in each cell type, revealing differences in hormone regulation, receptor expression, cell signaling, and electrical properties. Each cell type expresses a unique GPCR signature that reveals the direct regulation of metabolic and homeostatic hormones. Comparing these novel transcriptomes to that of rat gonadotrophs revealed conserved genes that might specifically contribute to each gonadotropin activity in mammals, suggesting conserved mechanisms controlling the differential regulation of gonadotropins in vertebrates.

scholarly journals Involvement of Thyroid Hormones in Brain Development and Cancer

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2693
Author(s):  
Gabriella Schiera ◽  
Carlo Maria Di Liegro ◽  
Italia Di Liegro
Keyword(s):  
Nervous System ◽  
Thyroid Hormones ◽  
Brain Development ◽  
Placental Transfer ◽  
Regulation Of Gene Expression ◽  
Mammalian Brain ◽  
Cancer Proliferation ◽  
Fetal Thyroid ◽  
Genomic Effects ◽  
And Function

The development and maturation of the mammalian brain are regulated by thyroid hormones (THs). Both hypothyroidism and hyperthyroidism cause serious anomalies in the organization and function of the nervous system. Most importantly, brain development is sensitive to TH supply well before the onset of the fetal thyroid function, and thus depends on the trans-placental transfer of maternal THs during pregnancy. Although the mechanism of action of THs mainly involves direct regulation of gene expression (genomic effects), mediated by nuclear receptors (THRs), it is now clear that THs can elicit cell responses also by binding to plasma membrane sites (non-genomic effects). Genomic and non-genomic effects of THs cooperate in modeling chromatin organization and function, thus controlling proliferation, maturation, and metabolism of the nervous system. However, the complex interplay of THs with their targets has also been suggested to impact cancer proliferation as well as metastatic processes. Herein, after discussing the general mechanisms of action of THs and their physiological effects on the nervous system, we will summarize a collection of data showing that thyroid hormone levels might influence cancer proliferation and invasion.

scholarly journals Genetic Analyses of the Laurel Wilt Pathogen, Raffaelea lauricola, in Asia Provide Clues on the Source of the Clone that is Responsible for the Current USA Epidemic

Forests ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 37 ◽  
Author(s):  
Tyler J. Dreaden ◽  
Marc A. Hughes ◽  
Randy C. Ploetz ◽  
Adam Black ◽  
Jason A. Smith
Keyword(s):  
Genetic Structure ◽  
Laurel Wilt ◽  
Type Locus ◽  
Xyleborus Glabratus ◽  
Genetic Structure Of Populations ◽  
Raffaelea Lauricola ◽  
Host Trees ◽  
Redbay Ambrosia Beetle ◽  
The Usa ◽  
Simple Sequence

Laurel wilt is caused by the fungus Raffaelea lauricola T.C. Harr., Fraedrich and Aghayeva, a nutritional symbiont of its vector the redbay ambrosia beetle, Xyleborus glabratus Eichhoff. Both are native to Asia but appeared in Georgia in the early 2000s. Laurel wilt has since spread to much of the southeastern United States killing >300 million host trees in the Lauraceae plant family. The aims of this research were to elucidate the genetic structure of populations of R. lauricola, to examine its reproductive strategy, and determine how often the pathogen had been introduced to the USA. A panel of 12 simple sequence repeat (SSR) markers identified 15 multilocus genotypes (MLGs) in a collection of 59 isolates from the USA (34 isolates), Myanmar (18), Taiwan (6) and Japan (1). Limited diversity in the USA isolates and the presence of one MAT idiotype (mating type locus) indicated that R. lauricola was probably introduced into the country a single time. MLG diversity was far greater in Asia than the USA. Only three closely related MLGs were detected in the USA, the most prevalent of which (30 of 34 isolates) was also found in Taiwan. Although more work is needed, the present results suggest that a Taiwanese origin is possible for the population of R. lauricola in the USA. Isolates of R. lauricola from Myanmar were distinct from those from Japan, Taiwan and the USA. Although both MAT idiotypes were present in Myanmar and Taiwan, only the population from Taiwan had the genetic structure of a sexually reproducing population.

scholarly journals Regulation of OmpA Translation and Shigella dysenteriae Virulence by an RNA Thermometer

2019 ◽  
Vol 88 (3) ◽  
Author(s):  
Erin R. Murphy ◽  
Johanna Roßmanith ◽  
Jacob Sieg ◽  
Megan E. Fris ◽  
Hebaallaha Hussein ◽  
...  
Keyword(s):  
In Silico ◽  
Bacterial Species ◽  
Regulation Of Gene Expression ◽  
Structure And Function ◽  
Shigella Dysenteriae ◽  
Content Type ◽  
Bacterial Physiology ◽  
Wide Range ◽  
Rna Thermometer ◽  
And Function

ABSTRACT RNA thermometers are cis-acting riboregulators that mediate the posttranscriptional regulation of gene expression in response to environmental temperature. Such regulation is conferred by temperature-responsive structural changes within the RNA thermometer that directly result in differential ribosomal binding to the regulated transcript. The significance of RNA thermometers in controlling bacterial physiology and pathogenesis is becoming increasingly clear. This study combines in silico, molecular genetics, and biochemical analyses to characterize both the structure and function of a newly identified RNA thermometer within the ompA transcript of Shigella dysenteriae. First identified by in silico structural predictions, genetic analyses have demonstrated that the ompA RNA thermometer is a functional riboregulator sufficient to confer posttranscriptional temperature-dependent regulation, with optimal expression observed at the host-associated temperature of 37°C. Structural studies and ribosomal binding analyses have revealed both increased exposure of the ribosomal binding site and increased ribosomal binding to the ompA transcript at permissive temperatures. The introduction of site-specific mutations predicted to alter the temperature responsiveness of the ompA RNA thermometer has predictable consequences for both the structure and function of the regulatory element. Finally, in vitro tissue culture-based analyses implicate the ompA RNA thermometer as a bona fide S. dysenteriae virulence factor in this bacterial pathogen. Given that ompA is highly conserved among Gram-negative pathogens, these studies not only provide insight into the significance of riboregulation in controlling Shigella virulence, but they also have the potential to facilitate further understanding of the physiology and/or pathogenesis of a wide range of bacterial species.

scholarly journals The Crosstalk between Acetylation and Phosphorylation: Emerging New Roles for HDAC Inhibitors in the Heart

2018 ◽  
Vol 20 (1) ◽  
pp. 102 ◽  
Author(s):  
Justine Habibian ◽  
Bradley Ferguson
Keyword(s):  
Gene Expression ◽  
Protein Phosphorylation ◽  
Cross Talk ◽  
Electrostatic Interactions ◽  
Regulation Of Gene Expression ◽  
Hdac Inhibitors ◽  
Protein Activity ◽  
Histone Protein ◽  
Signal Transduction Protein ◽  
And Function

Approximately five million United States (U.S.) adults are diagnosed with heart failure (HF), with eight million U.S. adults projected to suffer from HF by 2030. With five-year mortality rates following HF diagnosis approximating 50%, novel therapeutic treatments are needed for HF patients. Pre-clinical animal models of HF have highlighted histone deacetylase (HDAC) inhibitors as efficacious therapeutics that can stop and potentially reverse cardiac remodeling and dysfunction linked with HF development. HDACs remove acetyl groups from nucleosomal histones, altering DNA-histone protein electrostatic interactions in the regulation of gene expression. However, HDACs also remove acetyl groups from non-histone proteins in various tissues. Changes in histone and non-histone protein acetylation plays a key role in protein structure and function that can alter other post translational modifications (PTMs), including protein phosphorylation. Protein phosphorylation is a well described PTM that is important for cardiac signal transduction, protein activity and gene expression, yet the functional role for acetylation-phosphorylation cross-talk in the myocardium remains less clear. This review will focus on the regulation and function for acetylation-phosphorylation cross-talk in the heart, with a focus on the role for HDACs and HDAC inhibitors as regulators of acetyl-phosphorylation cross-talk in the control of cardiac function.

Normalization Principles in Computational Neuroscience

2019 ◽  
Author(s):  
Kenway Louie ◽  
Paul W. Glimcher
Keyword(s):  
Information Processing ◽  
Computational Neuroscience ◽  
Linear Models ◽  
Brain Regions ◽  
Information Coding ◽  
Brain Organization ◽  
Contextual Modulation ◽  
Early Visual Cortex ◽  
And Function ◽  
And Behavior

A core question in systems and computational neuroscience is how the brain represents information. Identifying principles of information coding in neural circuits is critical to understanding brain organization and function in sensory, motor, and cognitive neuroscience. This provides a conceptual bridge between the underlying biophysical mechanisms and the ultimate behavioral goals of the organism. Central to this framework is the question of computation: what are the relevant representations of input and output, and what algorithms govern the input-output transformation? Remarkably, evidence suggests that certain canonical computations exist across different circuits, brain regions, and species. Such computations are implemented by different biophysical and network mechanisms, indicating that the unifying target of conservation is the algorithmic form of information processing rather than the specific biological implementation. A prime candidate to serve as a canonical computation is divisive normalization, which scales the activity of a given neuron by the activity of a larger neuronal pool. This nonlinear transformation introduces an intrinsic contextual modulation into information coding, such that the selective response of a neuron to features of the input is scaled by other input characteristics. This contextual modulation allows the normalization model to capture a wide array of neural and behavioral phenomena not captured by simpler linear models of information processing. The generality and flexibility of the normalization model arises from the normalization pool, which allows different inputs to directly drive and suppress a given neuron, effectively separating information that drives excitation and contextual modulation. Originally proposed to describe responses in early visual cortex, normalization has been widely documented in different brain regions, hierarchical levels, and modalities of sensory processing; furthermore, recent work shows that the normalization extends to cognitive processes such as attention, multisensory integration, and decision making. This ubiquity reinforces the canonical nature of the normalization computation and highlights the importance of an algorithmic framework in linking biological mechanism and behavior.

The kinase module of the Mediator complex: an important signalling processor for the development and survival of plants

2020 ◽  
Author(s):  
Rekha Agrawal ◽  
Fajkus Jiří ◽  
Jitendra K Thakur
Keyword(s):  
Plant Growth ◽  
Rna Polymerase Ii ◽  
Growth And Development ◽  
Regulation Of Gene Expression ◽  
Plant Growth And Development ◽  
Biochemical Processes ◽  
The Core ◽  
The Past ◽  
And Function ◽  
Core Part

Abstract Mediator, a multisubunit protein complex, is a signal processor that conveys regulatory information from transcription factors to RNA polymerase II and therefore plays an important role in the regulation of gene expression. This megadalton complex comprises four modules, namely, the head, middle, tail, and kinase modules. The first three modules form the core part of the complex, whereas association of the kinase module is facultative. The kinase module is able to alter the function of Mediator and has been established as a major transcriptional regulator of numerous developmental and biochemical processes. The kinase module consists of MED12, MED13, CycC, and kinase CDK8. Upon association with Mediator, the kinase module can alter its structure and function dramatically. In the past decade, research has established that the kinase module is very important for plant growth and development, and in the fight against biotic and abiotic challenges. However, there has been no comprehensive review discussing these findings in detail and depth. In this review, we survey the regulation of kinase module subunits and highlight their many functions in plants. Coordination between the subunits to process different signals for optimum plant growth and development is also discussed.

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