bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rett Syndrome astrocytes disrupt neuronal activity and cerebral organoid development through transfer of dysfunctional mitochondria
Authors: Tomasello Danielle L , Barrasa M. Inmaculada , Mankus David , Alarcon Katia I , Lytton-Jean Abigail KR , Liu X. Shawn , Jaenisch Rudolf 
Published: March 2023

AbstractStudies on the function of Methyl CpG binding protein 2 (MECP2) and the consequence ofMECP2deficiency and duplication have largely focused on neurons. The function of MECP2 in human glia, along with the comprehensive understanding of glial function in neurodevelopmental disorders, is much less understood. Using female and male human embryonic stem cell (hESC) lines to modelMECP2loss-of-function (LOF) in Rett Syndrome (RTT) in the developing brain, we investigated the molecular underpinnings of astrocyte (AST) development and dysfunction, and the mechanisms by which AST contribute to neuronal activity. Here we show that hESC-derived RTT ASTs have fewer mitochondria yet similar levels of reactive oxygen species compared to isogenic controls (CTR). We identified significantly diminished mitochondrial respiration that was compensated by increased glycolysis, and that the molecular mechanism behind mitochondrial dysfunction were reduced key proteins around the tricarboxylic acid (TCA) cycle and electron transport chain (ETC). We found an increased abundance of cytosolic amino acids in RTT ASTs under basal conditions that was readily depleted when energy demands were increased. We determined that RTT AST can donate their mitochondria to hESC-derived cortical neurons, and that isolated mitochondria from RTT ASTs are sufficient to cause significant changes to neuronal activity, increasing local field potentials to a hyperexcitable state. To examine mitochondrial health in the developing brain, we derived cerebral organoids. Ultrastructural analysis indicated that mitochondria from RTT hESC-derived organoids were significantly smaller compared to mitochondria from CTR organoids, indicating decreased connectivity and function, and this phenotype was stronger in glia compared to neurons. Using a multiomics epigenetics approach, we found hallmarks of RTT developmental delay and glial specific gene expression changes that corroborate altered energy metabolism and mitochondrial dysfunction. Based on these results, we propose that release of dysfunctional mitochondria from RTT ASTs to neurons furthers pathophysiology of the syndrome.
PIF4 promotes water use efficiency during fluctuating light and drought resistance in rice
Authors: Liu Sushuang , Essemine Jemaa , Liu Yanmin , Liu Chundong , Zhang Feixue , Xu Zhan , Qu Mingnan 
Published: March 2023

AbstractMolecular mechanism of intrinsic water use efficiency (iWUE) during fluctuating light (FL) was rarely understood. In this study, we investigated five parameters of iWUE under FL in 200 Minicore rice accessions. Among them, a novel trait, WUEFL(averaged iWUE during FL) has highest SNP heritability in these parameters. GWAS identifies six candidate genes, andPIF4is highly expressed in high iWUEFLrice subgroup. Nine SNPs were significantly associated with iWUEFL, and v3 SNP located at -1,075 bp ofPIF4promoter shows highest sensitives to light. Deletion of v3 in a rice cultivar, WYG7 (PIF4v3m) leads to ∼20% reduction in iWUEFL, and overexpressing PIF4 causes 25% increase in iWUEFLunder DS. There are 85% reduction in adenosine 3’,5’-diphosphate (PAP) amounts together with 73% increase inSAL1gene abundance in PIF4v3mthan WYG7. PIF4 transcriptionally repress and activateSAL1andNHX1, respectively, through binding to G-box motifs of the two genes, which leads to 16% reduction and 5% increase in iWUEFLin co-overexpression rice lines ofPIF4-SAL1andPIF4-NHX1, respectively, relative toPIF4-OE under DS. We proposed that PIF4 promotes iWUEFLand stomatal adjustment via targeting the G-box motif ofSAL1andNHX1genes during FL, eventually facilitating to drought resistance.
Development of a versatile LCM-Seq method for spatial transcriptomics of fluorescently-tagged cholinergic neuron populations
Authors: Rumpler Éva , Göcz Balázs , Skrapits Katalin , Sárvári Miklós , Takács Szabolcs , Farkas Imre , Póliska Szilárd , Papp Márton , Solymosi Norbert , Hrabovszky Erik 
Published: March 2023

AbstractSingle-cell transcriptomics are powerful tools to define neuronal cell types based on co-expressed gene clusters. Limited RNA input in these technologies necessarily compromises transcriptome coverage and accuracy of differential expression analysis. We propose that bulk RNA-sequencing of neuronal pools defined by spatial position offers an alternative strategy to overcome these technical limitations. We report an LCM-Seq method which allows deep transcriptome profiling of fluorescently-tagged neuron populations isolated with laser-capture microdissection (LCM) from histological sections of transgenic mice. Mild formaldehyde-fixation of ZsGreen marker protein, LCM sampling of ∼300 pooled neurons, followed by RNA isolation, library preparation and RNA-sequencing with methods optimized for nanogramm amounts of moderately degraded RNA enabled us to detect ∼15,000 different transcripts in fluorescently-labeled cholinergic neuron populations. The versatile LCM-Seq method showed excellent accuracy in quantitative studies, with 2,891 transcripts expressed differentially between the spatially defined and clinically relevant cholinergic neuron populations of the caudate-putamen and medial septum.
Microbiome-enabled genomic selection improves prediction accuracy for nitrogen-related traits in maize
Authors: Yang Zhikai , Zhao Tianjing , Cheng Hao , Yang Jinliang 
Published: March 2023

AbstractRoot-associated microbiomes in the rhizosphere (rhizobiomes) are increasingly known to play an important role in nutrient acquisition, stress tolerance, and disease resistance of plants. However, it remains largely unclear to what extent these rhizobiomes contribute to trait variation for different genotypes and if their inclusion in the genomic selection (GS) protocol can enhance prediction accuracy. To address these questions, we developed a microbiome-enabled GS (MEGS) method that incorporated host SNPs and ASVs (amplicon sequence variants) from plant rhizobiomes in a maize diversity panel under high and low nitrogen (N) field conditions. Our cross-validation results showed that the MEGS model significantly outperformed the conventional GS model for nearly all time-series traits related to plant growth and N responses, with an average relative improvement of 3.7%. The improvement was more pronounced under low N conditions (8.4% — 40.2% of relative improvement), consistent with the view that some beneficial microbes can enhance N nutrient uptake, particularly in low N fields. However, our study could not definitively rule out the possibility that the observed improvement is partially due to the ASVs being influenced by microenvironments. Using a high-dimensional mediation analysis method, our study has also identified microbial mediators that establish a link between plant genotype and phenotype. Some of the detected mediator microbes were previously reported to promote plant growth. The enhanced prediction accuracy of the MEGS models, demonstrated in a single environment, serves as a proof-of-concept for the potential application of microbiome-enabled plant breeding for sustainable agriculture.
Hematophagous triatomine bugs feed also on plants and express functional amylase
Authors: Da Lage Jean-Luc , Fontenelle Alice , Filée Jonathan , Merle Marie , Béranger Jean-Michel , Almeida Carlos Eduardo , Folly Ramos Elaine , Harry Myriam 
Published: March 2023

AbstractBACKGROUNDBlood feeding is a secondary adaptation in hematophagous bugs that ancestrally feed on plants. Many vector proteins are devoted to cope with the host’s defenses and to process the blood meal. In contrast, one can expect that some digestive enzymes devoted to phytophagous diet were lost during or after this peculiar adaptation. And yet, in many strictly hematophagous arthropods, alpha-amylases genes, coding the enzymes that digest starch from plants, are still present and transcribed, including in the blood-sucking bugRhodnius prolixusand its related speciesR. robustus(Hemiptera, Reduviidae, Triatominae). Triatominae bugs are vectors ofTrypanosoma cruzi, the causal agent of Chagas’disease. Besides the parasitic human infection by the vector-borne route via an exposition to infected feces, an oral route is documented by the ingestion of contaminated food or juices made from palm fruit trees.METHODOLOGY/PRINCIPAL FINDINGSWe hypothesized that retaining alpha-amylase could be advantageous if the bugs happen to consume occasionally plant tissues. To this end, we surveyed hundreds of gut DNA extracts from the sylvatic speciesR. robustuscaught on palm trees to detect traces of plant meals. We found plant DNA in over 8 % of theR. robustussamples, mostly the palm treeAttalea speciosa. Moreover, we showed that theR. robustusalpha-amylase retained normal amylolytic activity.CONCLUSIONSPreserving alpha-amylase function could be an important way of optimally harness plant substrates, and plant feeding could be a way for bridging the gap between two blood meals. Our data indicate that plants are a common and yet underestimated food source in the wild for Triatomine.Author SummaryAdaptation to a specific diet is often accompanied by metabolic, behavioral, physiological changes and hence by genetic changes like gene family expansion, gene losses or gains. In blood-sucking insects some adaptive features such as salivary components acting against blood clotting are known. However, it is intriguing that a digestive enzyme, alpha-amylase, which digests starch, is conserved in those animals, because blood does not contain starch nor related glucose polymers. This is the case in the blood-sucking bugs of theRhodniusgenus (Hemiptera, Reduviidae), which are vectors of the Chagas’disease, an important health issue in Latin America. In this study, we evidence for the first time that sylvatic bugsR. robustusalso consume plant tissues in the wild. We detected by PCR performed on DNA from digestive tract that a significant number of wild-caught individuals harbored plant DNA, especially fromAttaleapalm trees, on which they used to nest. We showed that the amylase enzyme is normally active on starch. We suggest plant feeding could be a way for bridging the gap between two blood meals but might not be linked to nutritional distress.
Sequence-based prediction of the solubility of peptides containing non-natural amino acids
Authors: Oeller Marc , Kang Ryan , Bolt Hannah , Gomes dos Santos Ana , Langborg Weinmann Annika , Nikitidis Antonios , Zlatoidsky Pavol , Su Wu , Czechtizky Werngard , De Maria Leonardo , Sormanni Pietro , Vendruscolo Michele 
Published: March 2023

AbstractNon-natural amino acids are increasingly used as building blocks in the development of peptide-based drugs, as they expand the available chemical space to tailor function, half-life and other key properties. However, while the chemical space of modified amino acids (mAAs) is potentially vast, experimental methods for measuring the developability properties of mAA-containing peptides are expensive and time consuming. To facilitate developability programs through computational methods, we present CamSol-PTM, a method that enables the fast and reliable sequence-based prediction of the solubility of mAA-containing peptides. From a computational screening of 50,000 mAA-containing variants of three peptides, we selected five different mAAs for a total number of 30 peptide variants for experimental validation. We demonstrate the accuracy of the predictions by comparing the calculated and experimental solubility values. Our results indicate that the computational screening of mAA-containing peptides can extend by over four orders of magnitude the ability to explore the solubility chemical space of peptides. This method is available as a web server athttps://www-cohsoftware.ch.cam.ac.uk/index.php/camsolptm.
Functional trade-offs: exploring the temporal response of field margin plant communities to climate change and agricultural practices
Authors: Poinas Isis , Meynard Christine N , Fried Guillaume 
Published: March 2023

AbstractOver the past decades, agricultural intensification and climate change have led to vegetation shifts. However, functional trade-offs linking traits responding to climate and farming practices are rarely analyzed, especially on large-scale empirical studies. Here we used a standardized yearly monitoring effort of agricultural field margin flora at the national scale to assess the temporal response of diversity and functional traits to variations in climate and intensity of agricultural practices. We examined temporal trends in climate (temperature, soil moisture), intensity of agricultural practices (herbicides, fertilization, margin management), plant species richness, and community-weighted means and variances of traits expected to vary both with climate and agricultural practices (e.g. seed mass, specific leaf area), across 555 sites in France between 2013 and 2021. We found clear temporal climatic trends (temperature increased while soil moisture decreased), whereas trends in agricultural practices were weak over the past decade, with only slight decreases in herbicides and margin management intensity. During the same period, functional changes in plant communities were significant, showing an increase of thermophilic species (including some Mediterranean species) with a conservative resource acquisition strategy (high stature, late and short flowering), mainly explained by climate change. The reduction in field margin management intensity (mainly mowing), also resulted in a vegetation shift towards a more conservative strategy. In contrast, there was no impact of the slight temporal changes of practices conducted within cultivated fields (herbicides, fertilization) on vegetation changes. Our findings suggest that species adapted to climate change (including Mediterranean and conservative species) have temporally increased in proportion. Importantly, we identified functional trade-offs indicating that these species are also the most vulnerable to intensive agricultural practices, as they are less adapted to high levels of resources and disturbances. We put these results into the conceptual framework of Grime’s CSR triangle and revealed a temporal decline of competitive and ruderal species in favor of stress-tolerant species better adapted to climate change. Choosing less intensive management can broaden the functional spectrum of agricultural plant communities, by maintaining the ability of stress-tolerant species selected by climate change to colonize habitats largely dominated by ruderals. Put together, these results suggest that climate change and agricultural intensification could have synergistic negative impacts on plant diversity in field margins, highlighting the need to study several biodiversity drivers at the same time in anthropized landscapes.
Implementation of augmented reality in BIM-enabled construction projects: a bibliometric literature review and a case study from China
Authors: Wang Kaiyang , Guo Fangyu , Zhou Ruijia , Qian Liang 
Published: March 2023

Purpose
In recent years, augmented reality (AR) has shown its potential to assist various construction activities. Its use commonly requires additional refinement to be integrated into the building information modeling (BIM) process. Nevertheless, few studies have investigated AR implementation in BIM-enabled projects because of numerous challenges related to its implementation. This study aims to investigate the implementation of AR in construction and identify the critical mechanisms for implementing BIM-AR successfully.

Design/methodology/approach
A mixed methodology was adopted for this study. First, this work presents a bibliometric analysis covering articles obtained from Scopus database published between 2000 and 2022. A sample size of 65 research papers pertinent to AR in construction was analyzed using VOSviewer software. Second, a participatory case study was conducted for a BIM-enabled project in China to gain insight into how BIM-AR implementation in construction is achieved.

Findings
The findings from the bibliometric analysis show an increasing interest in AR research within construction. The results indicate that AR research focuses on four clusters: real-time communication, project management, construction activities and education. Findings from the case study provide an empirical experience of AR application scenarios in a BIM-enabled project. Concomitantly, 15 critical success factors that influence BIM-AR implementation were finally identified and demonstrated.

Originality/value
This study provides a rich insight into the understanding and awareness of implementing AR. First, the findings are beneficial to construction practitioners and researchers because they provide a concentrated perspective of AR for emerging activities in the construction industry. Second, the results obtained from the case study could provide a useful guide for effectively implementing AR in a BIM-enabled construction project. Overall, this study may stimulate further research on AR-related studies in construction, such as BIM integration, factor analysis and construction education.
How can organizations tackle the challenge of pursuing a social mission? The role of dynamic managerial capabilities
Authors: Iglesias Ana Elisa A. , Maksimov Vladislav 
Published: March 2023

Purpose
Nearly 200 Business Roundtable CEOs have recently pledged to run their companies for the long-term benefit of all of their stakeholders, including the communities where they operate. This article explores the central role of dynamic managerial capabilities in allowing organizations to fulfill their social mission, which involves fostering socioeconomic inclusion of disenfranchised members of society.

Design/methodology/approach
We draw on research in management, international business, and entrepreneurship to articulate why organizations need dynamic managerial capabilities to reconfigure organizational resources and practices for the pursuit of a social mission.

Findings
This article brings out how each dimension of dynamic managerial capabilities – human capital, social capital, and cognition may influence this pursuit. It also provides suggestions on how to develop these capabilities.

Originality/value
We contend that organizations need dynamic managerial capabilities to address the complex and dynamic interactions between the organizations and structural forces in the society perpetuating exclusion. Such capabilities are not built in but can be developed.
Environmentally specific authentic leadership and team green creative behavior based on cognitive-affective path systems
Authors: Farrukh Muhammad , Raza Ali , Rafiq Muhammad 
Published: March 2023

Purpose
This study aims to investigate the role of environmentally specific authentic leadership (ESAL) and cognitive-affective path systems (team passion and goal clarity) in enhancing green creativity at the team level.

Design/methodology/approach
Data were collected from hotel employees through a structured questionnaire.

Findings
According to the investigation of 130 teams, ESAL influences team green creative behavior (TGCB), and this link was mediated by the team environmental goal clarity (TEGC). Furthermore, the study also finds a moderating role of team environmental harmonious passion (TEHP) between the hypothesized links. Based on these findings, the study discusses theoretical and practical implications.

Practical implications
Hospitality organizations looking to encourage teams to participate in TGCB as a whole should make sure that leaders are able to express their true selves. Further, leaders should focus on developing team members’ environmental passion and awareness of their TGCB.

Originality/value
To the best of the authors’ knowledge, this is the first study that summarizes the literature on ESAL, TEHP and TEGC in the new managerial framework of TGCB. The analysis also advances the creativity literature by further expanding green creativity research to the hotel/ tourism discipline and adding authentic leadership to the subtle body of predictors for green creativity at the team level.
Can engagement and performance be improved through online training on emotional intelligence? A quasi-experimental approach
Authors: Junça Silva Ana , Almeida Norton 
Published: March 2023

PurposeOnline learning is an effective training strategy to help students, as one of the success factors is academic engagement. Therefore, the use of online training courses to influence academic engagement and performance in emotional intelligence learning experiences is worthy of investigation. This study explores the influence of emotional intelligence as an online training course and its impact on academic engagement and learning outcomes–performance.Design/methodology/approachThe authors used a quasi-experimental study with two groups of participants who were randomly assigned (experimental e control) and with pretest–posttest measurements of the online training. The emotional intelligence online training (for the experimental group) was conducted during a single semester, with eight hours of training. The methodology of reflective, role-playing, case study and group work was followed. Measurements of student academic engagement and emotional intelligence were collected before (one week before the training) and after the intervention (on the last training session). Performance was measured after the intervention.FindingsThe mean scores improved for all the variables, with the differences being statistically significant. The students assessed their learning positively. The results also showed that emotional intelligence was positively related to academic engagement but not to performance. This means that emotional intelligence training was effective in increasing the academic engagement of university students.Practical implicationsThe results are promising in terms of the students retaining the competencies acquired. Therefore, this type of online training is recommended for the emotional intelligence and academic engagement of future human resources professionals. Moreover, according to the results, it would be possible to use emotional intelligence training programs in schools, besides other programs, to promote the academic engagement and performance of students.Originality/valueThe design of the study provides evidence that is an added value for higher education institutions.