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Investigating Novice and Expert Conceptions of Genetically Modified Organisms.

ABSTRACT: The aspiration of biology education is to give students tools to apply knowledge learned in the classroom to everyday life. Genetic modification is a real-world biological concept that relies on an in-depth understanding of the molecular behavior of DNA and proteins. This study investigated undergraduate biology students' conceptions of genetically modified organisms (GMOs) when probed with real-world, molecular and cellular, and essentialist cues, and how those conceptions compared across biology expertise. We developed a novel written assessment tool and administered it to 120 non-biology majors, 154 entering biology majors, 120 advanced biology majors (ABM), and nine biology faculty. Results indicated that undergraduate biology majors rarely included molecular and cellular rationales in their initial explanations of GMOs. Despite ABM demonstrating that they have much of the biology knowledge necessary to understand genetic modification, they did not appear to apply this knowledge to explaining GMOs. Further, this study showed that all undergraduate student populations exhibited evidence of essentialist thinking while explaining GMOs, regardless of their level of biology training. Finally, our results suggest an association between scientifically accurate ideas and the application of molecular and cellular rationales, as well as an association between misconceptions and essentialist rationales.

SUBMITTER: Potter LM

PROVIDER: S-EPMC5589432 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Investigating Novice and Expert Conceptions of Genetically Modified Organisms.

Potter Lisa M LM Bissonnette Sarah A SA Knight Jonathan D JD Tanner Kimberly D KD

CBE life sciences education 20170101 3

The aspiration of biology education is to give students tools to apply knowledge learned in the classroom to everyday life. Genetic modification is a real-world biological concept that relies on an in-depth understanding of the molecular behavior of DNA and proteins. This study investigated undergraduate biology students' conceptions of genetically modified organisms (GMOs) when probed with real-world, molecular and cellular, and essentialist cues, and how those conceptions compared across biolo ...[more]

PMID: 28821537

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Project description:Digital PCR in droplets (ddPCR) is an emerging method for more and more applications in DNA (and RNA) analysis. Special requirements when establishing ddPCR for analysis of genetically modified organisms (GMO) in a laboratory include the choice between validated official qPCR methods and the optimization of these assays for a ddPCR format. Differentiation between droplets with positive reaction and negative droplets, that is setting of an appropriate threshold, can be crucial for a correct measurement. This holds true in particular when independent transgene and plant-specific reference gene copy numbers have to be combined to determine the content of GM material in a sample. Droplets which show fluorescent units ranging between those of explicit positive and negative droplets are called 'rain'. Signals of such droplets can hinder analysis and the correct setting of a threshold. In this manuscript, a computer-based algorithm has been carefully designed to evaluate assay performance and facilitate objective criteria for assay optimization. Optimized assays in return minimize the impact of rain on ddPCR analysis. We developed an Excel based 'experience matrix' that reflects the assay parameters of GMO ddPCR tests performed in our laboratory. Parameters considered include singleplex/duplex ddPCR, assay volume, thermal cycler, probe manufacturer, oligonucleotide concentration, annealing/elongation temperature, and a droplet separation evaluation. We additionally propose an objective droplet separation value which is based on both absolute fluorescence signal distance of positive and negative droplet populations and the variation within these droplet populations. The proposed performance classification in the experience matrix can be used for a rating of different assays for the same GMO target, thus enabling employment of the best suited assay parameters. Main optimization parameters include annealing/extension temperature and oligonucleotide concentrations. The droplet separation value allows for easy and reproducible assay performance evaluation. The combination of separation value with the experience matrix simplifies the choice of adequate assay parameters for a given GMO event.

Project description:BACKGROUND: According to Regulation (EU) No 619/2011, trace amounts of non-authorised genetically modified organisms (GMO) in feed are tolerated within the EU if certain prerequisites are met. Tolerable traces must not exceed the so-called 'minimum required performance limit' (MRPL), which was defined according to the mentioned regulation to correspond to 0.1% mass fraction per ingredient. Therefore, not yet authorised GMO (and some GMO whose approvals have expired) have to be quantified at very low level following the qualitative detection in genomic DNA extracted from feed samples. As the results of quantitative analysis can imply severe legal and financial consequences for producers or distributors of feed, the quantification results need to be utterly reliable. RESULTS: We developed a statistical approach to investigate the experimental measurement variability within one 96-well PCR plate. This approach visualises the frequency distribution as zygosity-corrected relative content of genetically modified material resulting from different combinations of transgene and reference gene Cq values. One application of it is the simulation of the consequences of varying parameters on measurement results. Parameters could be for example replicate numbers or baseline and threshold settings, measurement results could be for example median (class) and relative standard deviation (RSD). All calculations can be done using the built-in functions of Excel without any need for programming. The developed Excel spreadsheets are available (see section 'Availability of supporting data' for details). In most cases, the combination of four PCR replicates for each of the two DNA isolations already resulted in a relative standard deviation of 15% or less. CONCLUSIONS: The aims of the study are scientifically based suggestions for minimisation of uncertainty of measurement especially in -but not limited to- the field of GMO quantification at low concentration levels. Four PCR replicates for each of the two DNA isolations seem to be a reasonable minimum number to narrow down the possible spread of results.

Project description:BackgroundIt is widely reported that facilitation can aid implementation of evidence-based practices. Although scholars agree that facilitators need a diverse range of skills, only a few retrospective studies have identified some of these. During the test of a facilitation strategy within the context of a VA initiative to implement evidence-based care delivery models, we documented the skills an expert external facilitator transferred to two initially novice internal regional facilitators. Ours is the first study to explore facilitation skills as they are being applied and transferred.MethodsFacilitators applied the strategy at eight primary care clinics that lacked implementation capacity in two VA networks. We conducted monthly debriefing interviews over a 30-month period and documented these in detailed notes. External facilitator interviews focused specifically on training and mentoring internal facilitators and the skills that she transferred. We also conducted, recorded, and transcribed two qualitative interviews with each facilitator and queried them about training content and process. We conducted a content analysis of the data, using deductive and inductive methods, to identify skills the external facilitator helped internal facilitators learn. We also explored the complexity of facilitation skills and grouped them into overarching skillsets.ResultsThe external facilitator helped internal facilitators learn 22 complex skills; with few exceptions, these skills were not unique but overlapped with one another. We clustered 21 of these into 5 groups of overarching skillsets: (1) building relationships and creating a supportive environment, (2) changing the system of care and the structure and processes that support it, (3) transferring knowledge and skills and creating infrastructure support for ongoing learning, (4) planning and leading change efforts, and (5) assessing people, processes, and outcomes and creating infrastructure for program monitoring.ConclusionsThis study documented a broad range of implementation facilitation skills that are complex and overlapping. Findings suggest that studies and initiatives planning or applying facilitation as an implementation strategy should ensure that facilitators have or have the opportunity to learn the skills they need. Because facilitation skills are complex, the use of didactic methods alone may not be sufficient for transferring skills; future work should explore other methods and techniques.

Dataset Information

Investigating Novice and Expert Conceptions of Genetically Modified Organisms.

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Investigating Novice and Expert Conceptions of Genetically Modified Organisms.

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