Climate change,collections and the classroom: using big data to tackle big problems

Preparing students to explore, understand, and resolve societal challenges such as global climate change is an important task for evolutionary and ecological biologists that will require novel and innovative pedagogical approaches. Recent calls to reform undergraduate science education emphasize the importance of engaging students in inquiry-driven, active, and authentic learning experiences. We believe that the vast digital resources (i.e., “big data”) associated with natural history collections provide invaluable but underutilized opportunities to create such experiences for undergraduates in biology. Here, we describe an online, open-access educational module that we have developed that harnesses the power of collections-based information to introduce students to multiple conceptual and analytical elements of climate change, evolutionary, and ecological biology research. The module builds upon natural history specimens and data collected over the span of nearly a century in Yosemite National Park, California, to guide students through a series of exercises aimed at testing hypotheses regarding observed differences in response to climate change by two closely related and partially co-occurring species of chipmunks. The content of the module can readily be modified to meet the pedagogical goals and instructional levels of different courses while the analytical strategies outlined can be adapted to address a wide array of questions in evolutionary and ecological biology. In sum, we believe that specimen-based natural history data represent a powerful platform for reforming undergraduate instruction in biology. Because these efforts will result in citizens who are better prepared to understand complex biological relationships, the benefits of this approach to undergraduate education will have widespread benefits to society.     

Integration of EST-SSR markers of Medicago truncatula into intraspecific linkage map of lentil and identification of QTL conferring resistance to ascochyta blight at seedling and pod stages

Microsatellite markers have been extensively utilised in the leguminosae for genome mapping and identifying major loci governing traits of interest for eventual marker-assisted selection (MAS). The lack of available lentil-specific microsatellite sequences and gene-based markers instigated the mining and transfer of expressed sequence tag simple sequence repeat (EST-SSR)/SSR sequences from the model genome Medicago truncatula, to enrich an existing intraspecific lentil genetic map. A total of 196 markers, including new 15 M. truncatula EST-SSR/SSR, were mapped using a population of 94 F₅ recombinant inbred lines produced from a cross between cv. Northfield (ILL5588)?×?cv. Digger (ILL5722) and clustered into 11 linkage groups (LG) covering 1156.4?cM. Subsequently, the size and effects of quantitative trait loci (QTL) conditioning Ascochyta lentis resistance at seedling and pod/maturity stages were characterised and compared. Three QTL were detected for seedling resistance on LG1 and LG9 and a further three were detected for pod/maturity resistance on LG1, LG4 and LG5. Together, these accounted for 34 and 61% of the total estimated phenotypic variation, respectively, and demonstrated that resistance at the different growth stages is potentially conditioned by different genomic regions. The flanking markers identified may be useful for MAS and for the future pyramiding of potentially different resistance genes into elite backgrounds that are resistant throughout the cropping season.     

Mechanical performance of rat, mouse and mole spring traps, and possible implications for welfare performance

Lethal spring traps are widely used for killing small mammals in the UK. Many require government approval, based primarily on humaneness. However, mole traps and break-back traps for rats and mice are exempt; those available vary widely in price and apparent quality. The EU is considering implementing a Trapping Directive that would alter UK legislation, and a recent report advised the EU that trapping legislation should cover all trapped species and encourage improvement of traps. Mechanical trap performance is often used as an indicator of welfare impact. We examined the mechanical evidence for scope to improve the welfare standards of rat, mouse and mole spring traps. We measured mechanical performance among a range of rat, mouse and mole traps. Impact momentum values varied 6-8 fold, and clamping force values 4-5.5 fold, among traps for killing each species. There was considerable overlap in the performance of rat and mouse traps. Trap-opening angle and spring type were related to impact momentum and clamping force in traps for both species. There was no relationship between price and mechanical performance in traps for any species, except talpa mole traps. We are unable to judge the direct welfare impact of the traps tested, but rather the potential welfare threat associated with their exemption from approval. The wide variation in mechanical performance in traps for each species, overlap in performance between rat and mouse traps and increasing availability of weaker plastic rodent traps indicate considerable scope for improving the humaneness of spring traps for rats, mice and moles. We conclude that all such traps should be subject to the UK approval process. New welfare categories might improve trap standards further. Our results could also help improve rodent trap design and assist consumers in selecting more powerful traps. Many thousands of rats, mice and moles might benefit.     

Macrophenology: insights into the broad-scale patterns,drivers, and consequences of phenology

Plant phenology research has surged in recent decades, in part due to interest in phenological sensitivity to climate change and the vital role phenology plays in ecology. Many local-scale studies have generated important findings regarding the physiology, responses, and risks associated with shifts in plant phenology. By comparison, our understanding of regional- and global-scale phenology has been largely limited to remote sensing of green-up without the ability to differentiate among plant species. However, a new generation of analytical tools and data sources—including enhanced remote sensing products, digitized herbarium specimen data, and public participation in science—now permits investigating patterns and drivers of phenology across extensive taxonomic, temporal, and spatial scales, in an emerging field that we call macrophenology. Recent studies have highlighted how phenology affects dynamics at broad scales, including species interactions and ranges, carbon fluxes, and climate. At the cusp of this developing field of study, we review the theoretical and practical advances in four primary areas of plant macrophenology: (1) global patterns and shifts in plant phenology, (2) within-species changes in phenology as they mediate species' range limits and invasions at the regional scale, (3) broad-scale variation in phenology among species leading to ecological mismatches, and (4) interactions between phenology and global ecosystem processes. To stimulate future research, we describe opportunities for macrophenology to address grand challenges in each of these research areas, as well as recently available data sources that enhance and enable macrophenology research.     

Cranberry flowering times and climate change in southern Massachusetts

Plants in wild and agricultural settings are being affected by the warmer temperatures associated with climate change. Here we examine the degree to which the iconic New England cranberry, Vaccinium macrocarpon, is exhibiting signs of altered flowering phenology. Using contemporary records from commercial cranberry bogs in southeastern Massachusetts in the United States, we found that cranberry plants are responsive to temperature. Flowering is approximately 2 days earlier for each 1 °C increase in May temperature. We also investigated the relationship between cranberry flowering and flight dates of the bog copper, Lycaena epixanthe—a butterfly dependent upon cranberry plants in its larval stage. Cranberry flowering and bog copper emergence were found to be changing disproportionately over time, suggesting a potential ecological mismatch. The pattern of advanced cranberry flowering over time coupled with increased temperature has implications not only for the relationship between cranberry plants and their insect associates but also for agricultural crops in general and for the commercial cranberry industry.     

The establishment of reproducible, complex communities of oral bacteria in the chemostat using defined inocula

Nine commonly isolated oral bacterial populations were inoculated into a glucose-limited and a glucose-excess (amino acid-limited) chemostat maintained at a constant pH 7.0 and a mean community generation time of 13.9 h. The bacterial populations were Streptococcus mutans ATCC 2-27351, Strep. sanguis NCTC 7865, Strep. mitior EF 186, Actinomyces viscosus WVU 627, Lactobacillus casei AC 413, Neisseria sp. A1078, Veillonella alkalescens ATCC 17745, Bacteroides intermedius T 588 and Fusobacterium nucleatum NCTC 10593. All nine populations became established in the glucose-limited chemostat although Strep. sanguis and Neisseria sp. were present only after a second and third inoculation, respectively. In contrast, even following repeated inoculations, Strep. mutans, B. intermedius and Neisseria sp. could not be maintained under glucose-excess conditions. A more extensive pattern of fermentation products and amino acid catabolism occurred under glucose-limited growth; this simultaneous utilization of mixed substrates also contributed to the higher yields (Y molar glucose) and greater species diversity of these communities. Microscopic and biochemical evidence suggested that cell-to-cell interactions and food chains were occurring among community members. To compare the reproductibility of this system, communities were established on three occasions under glucose-limitation and twice under glucose-excess conditions. The bacterial composition of the steady-state communities and their metabolic behaviour were similar when grown under identical conditions but varied in a consistent manner according to the nutrient responsible for limiting growth. Although a direct simulation of the oral cavity was not attempted, the results show that the chemostat could be used as an environmentally-related model to grow complex but reproducible communities of oral bacteria for long periods from a defined inoculum.