Glacial/interglacial changes in mineral dust and sea-salt records in polar ice cores: sources, transport, and deposition

Sea salt and mineral dust records as represented by Na+ and Ca2+ concentrations, respectively, in Greenland and Antarctic ice cores show pronounced glacial/interglacial variations. For the Last Glacial Maximum (LGM) mineral dust (sea salt) concentrations in Greenland show an increase of a factor of approximately 80 (15) compared to the Holocene and significant shifts by a factor of 15 (5) during Dansgaard Oeschger events. In Antarctica, the dust (sea salt) flux is enhanced by a factor of 15 (3) during the LGM compared to the Holocene and variations by approximately a factor of 8 (1-2) exist in parallel to Antarctic warm events. Primary glacial dust sources are the Asian deserts for Greenland and Patagonia for Antarctica. Ice core evidence and model results show that both changes in source strength as well as atmospheric transport and lifetime contributed to the observed changes in Greenland ice cores. In Antarctica changes in ice core fluxes are in large parts related to source variations both for sea salt and dust, where the formation of sea salt aerosol from sea ice may play a pivotal role. Summarizing our latest estimates on changes in sources, transport and deposition these processes are roughly able to explain the glacial increase in sea salt in both polar regions while they fall short by at least a factor of 4-7 for mineral dust. Future improvements in model resolution and in the formulation of source and transport processes together with new ice core records, e.g. on dust size distributions, will eventually allow to converge models and observations

Farmers’ Rights and Digital Sequence Information: Crisis or Opportunity to Reclaim Stewardship Over Agrobiodiversity?

Contestations about the way in which digital sequence information is used and regulated have created stumbling blocks across multiple international policy processes. Such schisms have profound implications for the way in which we manage and conceptualize agrobiodiversity and its benefits. This paper explores the relationship between farmers’ rights, as recognized in the International Treaty on Plant Genetic Resources for Food and Agriculture, and the dematerialization of genetic resources. Using concepts of “stewardship” and “ownership” we emphasize the need to move away from viewing agrobiodiversity as a commodity that can be owned, toward a strengthened, proactive and expansive stewardship approach that recognizes plant genetic resources for food and agriculture as a public good which should be governed as such. Through this lens we analyze the relationship between digital sequence information and different elements of farmers’ rights to compare and contrast implications for the governance of digital sequence information. Two possible parallel pathways are presented, the first envisaging an enhanced multilateral system that includes digital sequence information and which promotes and enhances the realization of farmers’ rights; and the second a more radical approach that folds together concepts of stewardship, farmers’ rights, and open source science. Farmers’ rights, we suggest, may well be the linchpin for finding fair and equitable solutions for digital sequence information beyond the bilateral and transactional approach that has come to characterize access and benefit sharing under the Convention on Biological Diversity. Existing policy uncertainties could be seized as an unexpected but serendipitous opportunity to chart an alternative and visionary pathway for the rights of farmers and other custodians of plant genetic resources.publishedVersio

Breeding for diversity – political implications and new pathways for the future

At present, around 95% of organic production is based on crop varieties that were bred for the conventional high-input sector, lacking important traits required under organic and low-input production conditions. Populations with a high level of genetic diversity are promising for OA (organic agriculture) conditions due to their adaptation, resilience and performance stability in different environments. Organic farming will benefit from cultivars (populations, varieties) that can cope with multiple stresses such as weeds, diseases, pests, climate change and low nitrogen input from manure. In the COBRA project (Coordinating Organic Plant Breeding Activities for diversity), plant genetic diversity and its potential have been investigated from both an agronomic and a legal point of view. This booklet aims to give insight into the socioeconomic and legal aspects of organic plant breeding including High Diversity breeding. COBRA is a three year (2013-16) European project under the Core Organic II program. It has linked up existing organic breeding activities by a multi-partner coordinated approach. The pillars of the COBRA project are: • Seed health • Response of crops to multiple stresses • Breeding efficiency for organic systems • Networking and coordination • Socioeconomic and legal issues related to organic plant breeding Through case studies, several COBRA partners investigated how different quality requirements can be imbedded in local breeding initiatives and promote organic seed use and production. They also studied how different barriers affect organic seed production and breeding. Case studies from UK, Denmark, Slovenia, Italy and the outputs of the COBRA workshop “Financing of organic plant breeding” (Freising, Germany, 2015) are presented in the booklet

Promoting an Enabling Environnement for Agrobiodiversity in Europe.

Since the 1970s Europe has approached plant genetic resources for food and agri-culture (PGRFA) as a specific domain defining its boundaries with the word “conservation”. At the beginning the focus was on ex situ conservation, i.e. genebanks conserving seeds in their storage systems. And then little by little the focus moved also to in situ/on farm conservation, i.e. conserving PGRFA where they have evolved and therefore also in farmers’ fields. But the pivotal word was always “conservation”, with procedures, rules, wording and policies mainly defined by the scientific community. Thus, the conservation of PGRFA was separated from agriculture as such, resulting in two distinct policy fields with few, if any, interrelations. This may be a reason why it took 10 years of negotiations of the directive on conservation varieties to have finally a legal text considering that seed laws should be amended in order to include more diversity. This booklet presents the recommendations for promoting an enabling environment for Community Agrobiodiversity Management in Europe, considering again diversity at all the levels (e.g. varieties, species, ecosystems, landscapes and men) as a key component of farming systems. This diversity - called agrobiodiversity and including also social and cultural diversities - plays a central role for achieving the sustainable use of PGRFA and for adapting our food systems facing climate change and new societal expectations

Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients:Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control

Genome-wide association studies (GWAS) have identified over 40 type 1 diabetes risk loci. The clinical impact of these loci on β-cell function during disease progression is unknown. We aimed at testing whether a genetic risk score could predict glycemic control and residual β-cell function in type 1 diabetes (T1D). As gene expression may represent an intermediate phenotype between genetic variation and disease, we hypothesized that genes within T1D loci which are expressed in islets and transcriptionally regulated by proinflammatory cytokines would be the best predictors of disease progression. Two-thirds of 46 GWAS candidate genes examined were expressed in human islets, and 11 of these significantly changed expression levels following exposure to proinflammatory cytokines (IL-1β + IFNγ + TNFα) for 48 h. Using the GWAS single nucleotide polymorphisms (SNPs) from each locus, we constructed a genetic risk score based on the cumulative number of risk alleles carried in children with newly diagnosed T1D. With each additional risk allele carried, HbA1c levels increased significantly within first year after diagnosis. Network and gene ontology (GO) analyses revealed that several of the 11 candidate genes have overlapping biological functions and interact in a common network. Our results may help predict disease progression in newly diagnosed children with T1D which can be exploited for optimizing treatment

Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty

This study explores how researchers’ analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions as they used the same data to independently test the same prominent social science hypothesis: that greater immigration reduces support for social policies among the public. In this typical case of social science research, research teams reported both widely diverging numerical findings and substantive conclusions despite identical start conditions. Researchers’ expertise, prior beliefs, and expectations barely predict the wide variation in research outcomes. More than 95% of the total variance in numerical results remains unexplained even after qualitative coding of all identifiable decisions in each team’s workflow. This reveals a universe of uncertainty that remains hidden when considering a single study in isolation. The idiosyncratic nature of how researchers’ results and conclusions varied is a previously underappreciated explanation for why many scientific hypotheses remain contested. These results call for greater epistemic humility and clarity in reporting scientific findings

Resectable pancreatic small cell carcinoma

Primary pancreatic small cell carcinoma (SCC) is rare, with just over 30 cases reported in the literature. Only 7 of these patients underwent surgical resection with a median survival of 6 months. Prognosis of SCC is therefore considered to be poor, and the role of adjuvant therapy is uncertain. Here we report two institutions' experience with resectable pancreatic SCC. Six patients with pancreatic SCC treated at the Johns Hopkins Hospital (4 patients) and the Mayo Clinic (2 patients) were identified from prospectively collected pancreatic cancer databases and re-reviewed by pathology. All six patients underwent a pancreaticoduodenectomy. Clinicopathologic data were analyzed, and the literature on pancreatic SCC was reviewed. Median age at diagnosis was 50 years (range 27–60). All six tumors arose in the head of the pancreas. Median tumor size was 3 cm, and all cases had positive lymph nodes except for one patient who only had five nodes sampled. There were no perioperative deaths and three patients had at least one postoperative complication. All six patients received adjuvant therapy, five of whom were given combined modality treatment with radiation, cisplatin, and etoposide. Median survival was 20 months with a range of 9–173 months. The patient who lived for 9 months received chemotherapy only, while the patient who lived for 173 months was given chemoradiation with cisplatin and etoposide and represents the longest reported survival time from pancreatic SCC to date. Pancreatic SCC is an extremely rare form of cancer with a poor prognosis. Patients in this surgical series showed favorable survival rates when compared to prior reports of both resected and unresectable SCC. Cisplatin and etoposide appears to be the preferred chemotherapy regimen, although its efficacy remains uncertain, as does the role of combined modality treatment with radiation

The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report.

In an era of mass migration, social scientists, populist parties and social movements raise concerns over the future of immigration-destination societies. What impacts does this have on policy and social solidarity? Comparative cross-national research, relying mostly on secondary data, has findings in different directions. There is a threat of selective model reporting and lack of replicability. The heterogeneity of countries obscures attempts to clearly define data-generating models. P-hacking and HARKing lurk among standard research practices in this area.This project employs crowdsourcing to address these issues. It draws on replication, deliberation, meta-analysis and harnessing the power of many minds at once. The Crowdsourced Replication Initiative carries two main goals, (a) to better investigate the linkage between immigration and social policy preferences across countries, and (b) to develop crowdsourcing as a social science method. The Executive Report provides short reviews of the area of social policy preferences and immigration, and the methods and impetus behind crowdsourcing plus a description of the entire project. Three main areas of findings will appear in three papers, that are registered as PAPs or in process

The Time Dimension in International Regime Interplay

Interplay between different international agreements is a novel field of study in regime theory. The importance of understanding this interplay is increasing, due to the rising number of international agreements with overlapping functional scopes. By including the time dimension in the study of regime interplay, per spectives are opened up, which may provide a better grasp of the dynamics of regime development. Three propositions are suggested in this article on how different development stages of overlapping international regimes affect their interplay. The propositions are illustrated with the case of overlapping regimes pertaining to the management of plant genetic resources for food and agriculture. The regimes are the Convention on Biological Diversity, the Agreement on Trade Related Intellectual Property Rights and the International Treaty on Plant Genetic Resources for Food and Agriculture. The case study shows that an analytic grasp of the time dimension might uncover barriers to regime formation, as well as strategic opportunities. Copyright (c) 2002 Massachusetts Institute of Technology.