NSF Dimensions of Biodiversity Funding Opportunity

[reposting an email from the American Society for Microbiology]

The National Science Foundation (NSF) has requested that ASM bring to the attention of interested members the following funding opportunity:

Dimensions of Biodiversity FY 2015
URL: http://www.nsf.gov/pubs/2015/nsf15533/nsf15533.htm 
Full Proposal Deadline: April 9, 2015 (due by 5 p.m. proposer’s local time)

Synopsis of Program:

Despite centuries of discovery, most of our planet’s biodiversity remains unknown. The scale of the unknown diversity on Earth is especially troubling given the rapid and permanent loss of biodiversity across the globe. The goal of the Dimensions of Biodiversity campaign is to transform, by 2020, how we describe and understand the scope and role of life on Earth.

This campaign promotes novel integrative approaches to fill the most substantial gaps in our understanding of the diversity of life on Earth. It takes a broad view of biodiversity, and focuses on the intersection of genetic, phylogenetic, and functional dimensions of biodiversity. Successful proposals must integrate these three dimensions to understand interactions and feedbacks among them. While this focus complements several core programs in BIO and GEO, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, in novel ways, to understand their synergistic roles in critical ecological and evolutionary processes.

Award Information:      

  • Anticipated Type of Award: Standard Grant or Continuing Grant
  • Estimated Number of Awards: 8 to 12
  • Anticipated Funding Amount: $16,000,000 to $22,000,000

More Information:  

Matthew D. Kane, BIO/DEB: (703) 292-7186, Dimensions@nsf.gov

Sincerely,
Ronald M. Atlas, Ph.D.
Chair, Public and Scientific Affairs Board

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NSF Genealogy of Life (GoLife) – 2015 call for proposals

NSF has once again issued its RFP for the Genealogy of Life (GoLife) program. Full proposal deadline is March 25, 2015.

Program Synopsis (from NSF website): 

Comprehensive understanding of life and how and why it changes over time depends on knowledge of the phylogeny (evolutionary relationships) of living and extinct organisms. The goals of the Genealogy of Life (GoLife) program are to resolve the phylogenetic history of all life’s diverse forms and to integrate this genealogical architecture with underlying organismal and environmental data.

The ultimate vision of this program is an open access, comprehensive Genealogy of Life that will provide the comparative framework necessary for testing questions in systematics, evolutionary biology, ecology, and other fields. Strategic integration of this genealogy of life with data layers from genomic, phenotypic, spatial, ecological and temporal data will produce an extensive synthesis of biodiversity and evolutionary sciences. The resulting knowledge infrastructure will enable synthetic research on biological dynamics throughout the history of life on Earth, within current ecosystems, and for predictive modeling of the future evolution of life.

Projects submitted to this program should emphasize increased efficiency in contributing to a complete Genealogy of Life and strategic integration of various types of organismal and environmental data with phylogenies.

This program also seeks to broadly train next generation, integrative phylogenetic biologists, creating the human resource infrastructure and workforce needed to tackle emerging research questions in comparative biology. Projects should train students for diverse careers by exposing them to the multidisciplinary areas of research within the proposal.

Detailed Program Description (from NSF website):

The Genealogy of Life program has four main goals: 1) Taxonomic completeness — containing all described species of a given clade, including those lineages that are extinct, 2) Data completeness —including diverse underlying data layers (e.g., digitized images, specimen collection information, environmental and habitat data, geographic and stratigraphic distributions, genomic and phenomic data, developmental data and ontologies), 3) Dynamic and open structure — allowing the automatic incorporation of new data and taxa, and mechanisms for accessibility to the broad scientific and non-scientific communities, and 4) Training of the next generation of phylogenetic biologists –– integrative training in diverse fields across comparative evolutionary biology. Successful projects will describe how research and training activities will achieve these four overarching goals.

All successful proposals will have the goal of massively increasing the taxonomic and character data space that contributes to making our understanding of life’s genealogy as thorough as possible. When preparing a GoLife proposal, proposers are required to justify the need for phylogenetic analysis on their chosen taxonomic group of study and their approach to advancing data inclusiveness. Taxonomic completeness, as described above in Goal 1, will likely be group-dependent. For example, work on clades that include a rich fossil record should include the fossil taxa in the proposed research. Completeness for other clades will likely be defined differently.

Proposals should focus on poorly sampled clades or data layers within the Genealogy of Life where new data will have a profound impact on new understanding of the pattern of life’s evolution. In accordance with Goal 2 above, justification of data layers to be added is expected to be strategic and to enable future hypothesis-based research. Chosen data layers are likely to be clade-specific. For example, some vertebrate, invertebrate and plant clades will enable approaches that add substantial phenotypic, geochronological, environmental, spatial, and other types of data layers; some prokaryotic clades will enable approaches that add metabolic pathway, genomic and environmental data layers. GoLife proposals should outline the specific types of novel, hypothesis-driven research that would be enabled by the specific phylogenetic and data layer choices that are proposed.

For this year’s solicitation, along with the generation of new phylogenetic data and phylogenetic analyses, GoLife research projects must integrate at least two different data types. Proposals that do not integrate at least two data layers will be returned without review.

Examples of data layers (not an exhaustive list) that could be integrated in GoLife proposals include:

  • a) Genomic/Phylogenomic sequence data
  • b) Genotype-phenotype linkage and mapping
  • c) Morphological data
  • d) Fossil data
  • e) Geochronological data
  • f) Developmental data
  • g) Ontologies
  • h) Geospatial data
  • i) Environmental data
  • j) Digitized voucher specimens
  • k) Encyclopedia of Life webpages
  • l) Behavioral data
  • m) Physiological data
  • n) Metabolic pathways

Length and size of award will depend upon the number and size of the data sets to be added to the Genealogy of Life. Priority will be given to those proposals that provide: 1) the most substantial increase in volume of tree space added, and/or 2) the most significant increase in annotated organismal and environmental data layers. The phylogenetic scope of a GoLife proposal should vastly exceed that of a typical Phylogenetic Systematics core program proposal. Given advances in the field, the size and scope of GoLife proposals should also vastly exceed that of AToL projects.

GoLife projects should leverage existing infrastructure when possible, to avoid redundancy in tools available for comparative biology. Examples of existing infrastructure that GoLife projects could build upon, or access digital data from, include iDigBio, Genbank, Open Tree of Life, etc.

Projects that largely repeat or replicate existing work will not be funded. Additional examples of projects that will not be considered by this program include: 1) projects that only use a single data type (e.g. genomic/phylogenomic or morphological), 2) projects that consist of species surveys, inventories, or descriptions (e.g., Biodiversity: Discovery and Analysis projects), 3) projects that are focused on revisionary systematics (e.g. Advancing Revisionary and Taxonomy and Systematics projects), 4) projects that aim to test a particular hypothesis related to the evolution of a particular group (e.g., Phylogenetic Systematics projects), and 5) projects that are solely focused on the development of new methods or technologies without the generation of substantial amounts of new phylogenetic data. Research proposals that do not focus on poorly sampled clades or data layers within the Genealogy of Life should be submitted to other relevant NSF programs.

NSF BIO seeks community input on Genomes-Phenomes Research frontiers

This e-mail announcement from the US National Science Foundation may be of interest to RCN EukHiTS network participants:

BIO seeks community input on Genomes-Phenomes research frontiers: John Wingfield, Assistant Director of the National Science Foundation Directorate for Biological Sciences (BIO), is pleased to announce the posting of a Wiki to seek community input on the grand challenge of understanding the complex relationship between genomes and phenomes.  The Wiki is intended to facilitate discussion among researchers in diverse disciplines that intersect with biology, such as computation, mathematics, engineering, physics, and chemistry.The Wiki format encourages open communication, captures new viewpoints, and promotes free exchange of ideas about the bottlenecks that impede progress on the genomes-phenomes grand challenge and approaches or strategies to overcome these challenges. Information provided through the Wiki will help inform BIO’s future research investments and activities relevant to understanding genomes-phenomes relationships.To provide comments, ask questions and view input from and interact with other community members, first-time users should sign up for an account via this link: Sign-up. Once registered, users will be directed to the main page of the NSF Wiki to accept the terms and conditions before proceeding. Additional guidance and subsequent visits can be accessed via this link: Genomes-Phenomes Wiki. Community members should feel free to forward notice of this to anyone they think might be interested in contributing to the discussion. Questions regarding the Wiki should be sent to bio-gen-phen@nsf.gov.

NSF Genealogy of Life (GoLife) – call for proposals

A upcoming funding opportunity that may be of interest to RCN members:

Genealogy of Life (GoLife)

NSF Program Solicitation (NSF 14-527)

Proposal Deadline: March 26, 2014

Synopsis of Program: All of comparative biology depends on knowledge of the evolutionary relationships (phylogeny) of living and extinct organisms. In addition, understanding biodiversity and how it changes over time is only possible when Earth’s diversity is organized into a phylogenetic framework. The goals of the Genealogy of Life (GoLife) program are to resolve the phylogenetic history of life and to integrate this genealogical architecture with underlying organismal data.

The ultimate vision of this program is an open access, universal Genealogy of Life that will provide the comparative framework necessary for testing questions in systematics, evolutionary biology, ecology, and other fields. A further strategic integration of this genealogy of life with data layers from genomic, phenotypic, spatial, ecological and temporal data will produce a grand synthesis of biodiversity and evolutionary sciences. The resulting knowledge infrastructure will enable synthetic research on biological dynamics throughout the history of life on Earth, within current ecosystems, and for predictive modeling of the future evolution of life.

Projects submitted to this program should emphasize increased efficiency in contributing to a complete Genealogy of Life and integration of various types of organismal data with phylogenies.

This program also seeks to broadly train next generation, integrative phylogenetic biologists, creating the human resource infrastructure and workforce needed to tackle emerging research questions in comparative biology. Projects should train students for diverse careers by exposing them to the multidisciplinary areas of research within the proposal.