Political transition and emergent forest-conservation issues in Myanmar.

Political and economic transitions have had substantial impacts on forest conservation. Where transitions are underway or anticipated, historical precedent and methods for systematically assessing future trends should be used to anticipate likely threats to forest conservation and design appropriate and prescient policy measures to counteract them. Myanmar is transitioning from an authoritarian, centralized state with a highly regulated economy to a more decentralized and economically liberal democracy and is working to end a long-running civil war. With these transitions in mind, we used a horizon-scanning approach to assess the 40 emerging issues most affecting Myanmar's forests, including internal conflict, land-tenure insecurity, large-scale agricultural development, demise of state timber enterprises, shortfalls in government revenue and capacity, and opening of new deforestation frontiers with new roads, mines, and hydroelectric dams. Averting these threats will require, for example, overhauling governance models, building capacity, improving infrastructure- and energy-project planning, and reforming land-tenure and environmental-protection laws. Although challenges to conservation in Myanmar are daunting, the political transition offers an opportunity for conservationists and researchers to help shape a future that enhances Myanmar's social, economic, and environmental potential while learning and applying lessons from other countries. Our approach and results are relevant to other countries undergoing similar transitions

Threatened ecosystems of Myanmar. An IUCN Red List of ecosystems assessment. Version 1.0.

[Excerpt:] Myanmar's Red List of Ecosystems is a tool to understand our threats and plan for conservation and sustainable management. Forests constitute the dominant ecosystems in Myanmar, and we are blessed with high forest cover (42.92%) and diversity, with 36 of our 64 ecosystems identified as forest and mangrove. These forests and biodiversity underpin a range of ecosystem services which are central to Myanmar’s sustainable development, supporting human and resource needs, and contributing to a more stable climate. The loss of forests and our biodiversity leads to degradation and deterioration of ecosystem services and threatens Myanmar’s irreplaceable ecological heritage. We often discuss ecosystem services but this study documents Myanmar’s terrestrial ecosystem typology and spatial distribution for the first time. This is one of the first ecosystem red lists developed within ASEAN and this will inform our implementation for decades to come to inform legislation, land-use planning, protected area expansion, monitoring and reporting, and ecosystem management. To sustain our forests and our biodiversity we need to sustainably manage all of these incredible ecosystems

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

The Role of B-cells and IgM Antibodies in Parasitemia, Anemia, and VSG Switching in Trypanosoma brucei–Infected Mice

African trypanosomes are extracellular parasitic protozoa, predominantly transmitted by the bite of the haematophagic tsetse fly. The main mechanism considered to mediate parasitemia control in a mammalian host is the continuous interaction between antibodies and the parasite surface, covered by variant-specific surface glycoproteins. Early experimental studies have shown that B-cell responses can be strongly protective but are limited by their VSG-specificity. We have used B-cell (µMT) and IgM-deficient (IgM−/−) mice to investigate the role of B-cells and IgM antibodies in parasitemia control and the in vivo induction of trypanosomiasis-associated anemia. These infection studies revealed that that the initial setting of peak levels of parasitemia in Trypanosoma brucei–infected µMT and IgM−/− mice occurred independent of the presence of B-cells. However, B-cells helped to periodically reduce circulating parasites levels and were required for long term survival, while IgM antibodies played only a limited role in this process. Infection-associated anemia, hypothesized to be mediated by B-cell responses, was induced during infection in µMT mice as well as in IgM−/− mice, and as such occurred independently from the infection-induced host antibody response. Antigenic variation, the main immune evasion mechanism of African trypanosomes, occurred independently from host antibody responses against the parasite's ever-changing antigenic glycoprotein coat. Collectively, these results demonstrated that in murine experimental T. brucei trypanosomiasis, B-cells were crucial for periodic peak parasitemia clearance, whereas parasite-induced IgM antibodies played only a limited role in the outcome of the infection

The Taninthayi Nature Reserve Project as a Model of Compensation of Impacts to Biodiversity

Abstract The Taninthayi Nature Reserve Project (TNRP) has been operating in southern Myanmar since 2005. TNRP involves payments from three companies to support the creation and on-going management of a protected area as compensation for potential impacts to biodiversity from the construction and operation of three gas pipelines. This public-private partnership is unique in Myanmar and could form the basis of a model which can be applied to other developments in the country. We reviewed relevent literature and interviewed staff and stakeholders involved with the development and implementation of the TNRP in order to understand the model, identify some key lessons. As a framework for comparison the model was reviewed against current leading practice, primarily the International Finance Corporation (IFC) Performance Standard 6 (PS6), and the Business and Biodiversity Offets Program (BBOP) Standard on Biodiversity Offsets. This review revealed that the project has broadly met its stated goals and objectives: The companies have met their financial commitments.Stakeholder criticism of pipeline biodiversity impacts has been limited.A protected area has been established and managed since 2005, with socio-economic development programmes delivered to surrounding communities.The capacity of government staff involved in the TNRP has been improved. The TNRP was not originally developed to be in alignment with modern standards and the TNRP is not an offset. The TNRP thus does not meet current mitigation or offsetting best-practice in many areas. Our review does, however, highlight key lessons learned for developments to limit their impact on biodiversity and manage the associated risks effectively: Impact assessments should thoroughly analyse direct and indirect impacts to biodiversity.The mitigation hierarchy should be followed during the construction and operation of infrastructure.Should offsets be required, it is necessary to quantify biodiversity losses from development impacts and gains from conservation activities in order to identify how much compensation is enough.Monitoring of actions on the ground is the only way to determine their success in mitigating residual impacts to biodiversity.</jats:p

Microbiology With Diseases by Taxonomy

xxvii, 778 p. : il.; 30 cm

miRNA_Targets: A database for miRNA target predictions in coding and non-coding regions of mRNAs

AbstractMicroRNAs (miRNAs) are small non-coding RNAs that play a role in post-transcriptional regulation of gene expression in most eukaryotes. They help in fine-tuning gene expression by targeting messenger RNAs (mRNA). The interactions of miRNAs and mRNAs are sequence specific and computational tools have been developed to predict miRNA target sites on mRNAs, but miRNA research has been mainly focused on target sites within 3′ untranslated regions (UTRs) of genes. There is a need for an easily accessible repository of genome wide full length mRNA — miRNA target predictions with versatile search capabilities and visualization tools. We have created a web accessible database of miRNA target predictions for human, mouse, cow, chicken, Zebra fish, fruit fly and Caenorhabditis elegans using two different target prediction algorithms, The database has target predictions for miRNA's on 5′ UTRs, coding region and 3′ UTRs of all mRNAs. This database can be freely accessed at http://mamsap.it.deakin.edu.au/mirna_targets/