Survey of research approaches utilised in the scholarship of teaching and learning publications

The Scholarship of Teaching and Learning (SoTL) has been described as the fastest growing academic development movement in higher education. As this field of inquiry matures, there is a need to understand how SoTL research is conducted. The purpose of our study was to inform this debate by investigating research approaches used in SoTL publications. We analysed 223 empirical research studies published from 2012 to 2014 in three explicitly focused SoTL journals. We classified the studies as either qualitative, quantitative, or mixed methods using an analytical framework devised from existing literature on research methods. We found that the use of the three research designs was fairly evenly distributed across the papers examined: qualitative (37.2%), quantitative (29.6%), and mixed methods (33.2%). However, there was an over-reliance on data collection from a single source in 83.9% of papers analysed, and this source was primarily students. There was some, but limited, evidence of the use of triangulation through the use of multiple data collection instruments (e.g. survey, assessment tasks, grade databases). Similarly, only one-third of publications classified as mixed methods integrated the analysis and interpretation of the qualitative and quantitative data equally within the study. We conclude that current SoTL research is characterised by methodological pluralism but could be advanced through inclusion of more diverse approaches, such as close reading, and adoption of strategies known to enhance the quality of research, for example, triangulation and visual representation

Pathogenic Adaptation of Intracellular Bacteria by Rewiring a Cis-Regulatory Input Function

The acquisition of DNA by horizontal gene transfer enables bacteria to adapt to previously unexploited ecological niches. Although horizontal gene transfer and mutation of protein-coding sequences are well-recognized forms of pathogen evolution, the evolutionary significance of cis-regulatory mutations in creating phenotypic diversity through altered transcriptional outputs is not known. We show the significance of regulatory mutation for pathogen evolution by mapping and then rewiring a cis-regulatory module controlling a gene required for murine typhoid. Acquisition of a binding site for the Salmonella pathogenicity island-2 regulator, SsrB, enabled the srfN gene, ancestral to the Salmonella genus, to play a role in pathoadaptation of S. typhimurium to a host animal. We identified the evolved cis-regulatory module and quantified the fitness gain that this regulatory output accrues for the bacterium using competitive infections of host animals. Our findings highlight a mechanism of pathogen evolution involving regulatory mutation that is selected because of the fitness advantage the new regulatory output provides the incipient clones

Probing Teichoic Acid Genetics with Bioactive Molecules Reveals New Interactions among Diverse Processes in Bacterial Cell Wall Biogenesis

SummaryThe bacterial cell wall has been a celebrated target for antibiotics and holds real promise for the discovery of new antibacterial chemical matter. In addition to peptidoglycan, the walls of Gram-positive bacteria contain large amounts of the polymer teichoic acid, covalently attached to peptidoglycan. Recently, wall teichoic acid was shown to be essential to the proper morphology of Bacillus subtilis and an important virulence factor for Staphylococcus aureus. Additionally, recent studies have shown that the dispensability of genes encoding teichoic acid biosynthetic enzymes is paradoxical and complex. Here, we report on the discovery of a promoter (PywaC), which is sensitive to lesions in teichoic acid synthesis. Exploiting this promoter through a chemical-genetic approach, we revealed surprising interactions among undecaprenol, peptidoglycan, and teichoic acid biosynthesis that help explain the complexity of teichoic acid gene dispensability. Furthermore, the new reporter assay represents an exciting avenue for the discovery of antibacterial molecules

Identification of the Regulatory Logic Controlling Salmonella Pathoadaptation by the SsrA-SsrB Two-Component System

Sequence data from the past decade has laid bare the significance of horizontal gene transfer in creating genetic diversity in the bacterial world. Regulatory evolution, in which non-coding DNA is mutated to create new regulatory nodes, also contributes to this diversity to allow niche adaptation and the evolution of pathogenesis. To survive in the host environment, Salmonella enterica uses a type III secretion system and effector proteins, which are activated by the SsrA-SsrB two-component system in response to the host environment. To better understand the phenomenon of regulatory evolution in S. enterica, we defined the SsrB regulon and asked how this transcription factor interacts with the cis-regulatory region of target genes. Using ChIP-on-chip, cDNA hybridization, and comparative genomics analyses, we describe the SsrB-dependent regulon of ancestral and horizontally acquired genes. Further, we used a genetic screen and computational analyses integrating experimental data from S. enterica and sequence data from an orthologous regulatory system in the insect endosymbiont, Sodalis glossinidius, to identify the conserved yet flexible palindrome sequence that defines DNA recognition by SsrB. Mutational analysis of a representative promoter validated this palindrome as the minimal architecture needed for regulatory input by SsrB. These data provide a high-resolution map of a regulatory network and the underlying logic enabling pathogen adaptation to a host

SoTL and students' experiences of their degree-level programs: an empirical investigation

In the global higher education sector, government accountability initiatives are increasingly focused on degree-level competencies that may be expected from university graduates. The purpose of this paper was to examine the extent to which SoTL reflects this increased interest in student learning across the degree program. articles (N=136) published in three international SoTL journals, over the past three years, were systematically reviewed using a framework that concentrated on the extent to which they reflected a focus of (a) teaching-emphasis versus learning-emphasis and (b) unit-level (subject, course) versus degree-/ program-level. Our analysis indicated that the majority of SoTL publications (47%) were focused at the level of a single unit with an emphasis on teaching practice; in contrast, only a small minority of SoTL publications (9%) were focused at the level of the overall degree with an emphasis on learning processes. Drawing on our review, we highlight SoTL publications that exemplify the inquiry into stu¬ dent learning at the level of the degree program and offer questions to guide future SoTL inquiries

Mapping and regulation of genes within Salmonella pathogenicity island 12 that contribute to in vivo fitness of Salmonella enterica Serovar Typhimurium

Salmonella pathogenicity island 12 (SPI-12) of Salmonella enterica serovar Typhimurium is a 15-kb region that encompasses genes STM2230 to STM2245 and encodes a remnant phage known to contribute to bacterial virulence. In mouse infection experiments and replication assays in macrophages, we demonstrated a role for four genes in SPI-12 for bacterial survival in the host. STM2239, a potential Q antiterminator, showed a prominent contribution to bacterial fitness. Transcriptional reporter experiments, quantitative reverse transcription-PCR (RT-PCR), and immunoblotting demonstrated that the virulence regulator SsrB and STM2239 contribute to transcriptional activation of genes in SPI-12. SsrB was found to indirectly regulate this locus by transcriptional read-through from the sspH2 (STM2241) promoter. Chromatin immunoprecipitation showed that STM2239 copurified with the promoter regulating STM2237, suggesting that STM2239 may function as an antiterminator to activate adjacent genes. These results demonstrate that bacteriophage genes may be adapted by pathogenic bacteria to improve fitness in the host

An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits

[Background] Almond is an emerging crop due to the health benefits of almond consumption including nutritional, anti-inflammatory, and hypocholesterolaemia properties. Traditional almond producers were concentrated in California, Australia, and Mediterranean countries. However, almond is currently present in more than 50 countries due to breeding programs have modernized almond orchards by developing new varieties with improved traits related to late flowering (to reduce the risk of damage caused by late frosts) and tree architecture. Almond tree architecture and flowering are acquired and evaluated through intensive field labour for breeders. Flowering detection has traditionally been a very challenging objective. To our knowledge, there is no published information about monitoring of the tree flowering dynamics of a crop at the field scale by using color information from photogrammetric 3D point clouds and OBIA. As an alternative, a procedure based on the generation of colored photogrammetric point clouds using a low cost (RGB) camera on-board an unmanned aerial vehicle (UAV), and an semi-automatic object based image analysis (OBIA) algorithm was created for monitoring the flower density and flowering period of every almond tree in the framework of two almond phenotypic trials with different planting dates.[Results] Our method was useful for detecting the phenotypic variability of every almond variety by mapping and quantifying every tree height and volume as well as the flowering dynamics and flower density. There was a high level of agreement among the tree height, flower density, and blooming calendar derived from our procedure on both fields with the ones created from on-ground measured data. Some of the almond varieties showed a significant linear fit between its crown volume and their yield.[Conclusions] Our findings could help breeders and researchers to reduce the gap between phenomics and genomics by generating accurate almond tree information in an efficient, non-destructive, and inexpensive way. The method described is also useful for data mining to select the most promising accessions, making it possible to assess specific multi-criteria ranking varieties, which are one of the main tools for breeders.This research was funded by the AGL2017‑83325‑C4‑4R (Spanish Ministry of Science, Innovation and Universities, EU‑FEDER Funds), Transforma (ref.: PP.TRA.TRA.2016.00.6; PP.TRA.TRA.2019.00.2), UAVarAL (Ref. 1264556, Programa Operativo FEDER 2014‑2020 and Consejería de Economía y Conocimiento de la Junta de Andalucía) and INTRAMURAL 201840E002 (CSIC funds) projects.We acknowledge support of the publication fee by the CSIC Open Access Support Initiative through its Unit of Information Resources for Research (URICI)Peer reviewe