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Coordinated evolution and mutual adaptation of soybean–rhizobium–soil (SRS) are crucial for soybean distribution, but the genetic mechanism involved had remained unclear. In a recent study, Li et al. identified a natural variant of the GmRj2/Rfg1 gene that affected the ability of soybean to adapt to distinct soil types by controlling soybean–rhizobium interaction, thus unravelling the mystery of SRS compatibility. [ABSTRACT FROM AUTHOR]

Soybean is a legume crop rich in protein and oil. Symbiotic nitrogen fixation plays an important role in the growth of soybean. The type-III effectors such as NopT and NopP are the important signaling factors for the establishment of symbiosis in soybean. In this study, the analysis of nodulation in soybean after inoculation with HH103ΩNopT, HH103ΩNopP, and HH103ΩNopT&NopP indicated crosstalking between NopT and NopP. Further, we aimed to identify the genes of soybean involved in the pathway underlying the crosstalk between NopT and NopP using RNA-seq analysis. Five of the identified candidate genes were confirmed to be induced by NopT and NopP. The expression of GmPBS1 significantly increased to a much larger extent than that of the other four genes after soybean was inoculated with HH103ΩNopT, HH103ΩNopP, or HH103ΩNopT&NopP. The interaction between NopT and GmPBS1 was confirmed via bimolecular fluorescence complementation. Finally, nodulation analysis after GmPBS1 overexpression in the hairy roots indicate that GmPBS1 can regulate the negative effect of NopP on the nodulation, and this regulation is related to NopT. Collectively, our results suggested that during the nodulation in soybean, NopT and NopP have a crosstalking network and GmPBS1 is the hub gene. [ABSTRACT FROM AUTHOR]

The National Oceanographic Partnership Program (NOPP) funded a project to develop the foundation for a National Virtual Ocean Data System (NVODS) that has resulted in a robust data access framework for the exchange of oceanographic data (the Open source Project for a Network Data Access Protocol, or OPeNDAP) and a broad community of ocean data providers that remains vigorous and growing five years after NOPP funding ended. The project produced a number of "lessons learned" related to the design and implementation of distributed data systems that can inform other related efforts. These lessons are presented along with a brief overview of OPeNDAP and summaries of a number of projects that depend on OPeNDAP for data distribution.

On this tenth anniversary of the National Oceanographic Partnership Program, and as our nation embarks on a broad set of critical societal initiatives, it is valuable to review the accomplishments of the program, and reflect on conceptual origins of the ocean partnership idea and the process by which the program was conceived and established. Although the specific recommendations for establishment of a new program and coordinating mechanisms are contained in several reports discussed below, the conceptual underpinnings originate in a number of earlier activities.

The National Oceanographic Partnership Program (NOPP) consecutively sponsored the Ocean-Systems for Chemical, Optical, and Physical Experiments (O-SCOPE) and Multi-disciplinary Ocean Sensors for Environmental Analyses and Networks (MOSEAN) projects from 1998 through 2008. The O-SCOPE and MOSEAN projects focused on developing and testing new sensors and systems for autonomous, concurrent measurements of biological, chemical, optical, and physical variables from a diverse suite of stationary and mobile ocean platforms. Design considerations encompassed extended open-ocean and coastal deployments, instrument durability, biofouling mitigation, data accuracy and precision, near-real-time data telemetry, and economy—the latter being critical for widespread sensor and system utilization. The complementary O-SCOPE and MOSEAN projects increased ocean sensing and data telemetry capabilities for addressing many societally relevant problems such as global climate change, ocean carbon cycling and sequestration, acidification, eutrophication, anoxia, and ecosystem dynamics, including harmful algal blooms. NOPP support enabled O-SCOPE and MOSEAN to accelerate progress in achieving multiscale, multidisciplinary, sustained observations of the ocean environment. Importantly, both programs produced value-added scientific results, which demonstrated the utility of these new technologies. The NOPP framework fostered strong collaborations among academic, commercial, and government entities, and facilitated technology transfers to the general research community and to long-term observational and observatory programs.

Prediction of the substantial biologically mediated carbon flows in a rapidly changing and acidifying ocean requires model simulations informed by observations of key carbon cycle processes on the appropriate spatial and temporal scales. From 2000 to 2004, the National Oceanographic Partnership Program (NOPP) supported the development of the first low-cost, fully autonomous ocean profiling Carbon Explorers, which demonstrated that year-round, real-time observations of particulate organic carbon (POC) concentration and sedimentation could be achieved in the world's ocean. NOPP also initiated the development of a particulate inorganic carbon (PIC) sensor suitable for operational deployment across all oceanographic platforms. As a result, PIC profile characterization that once required shipboard sample collection and shipboard or shore-based laboratory analysis is now possible to full ocean depth in real time using a 0.2-W sensor operating at 24 Hz. NOPP developments further spawned US Department of Energy support to develop the Carbon Flux Explorer, a free vehicle capable of following hourly variations of PIC and POC sedimentation from the near surface to kilometer depths for seasons to years and capable of relaying contemporaneous observations via satellite.We have demonstrated the feasibility of real-time, low-cost carbon observations that are of fundamental value to carbon prediction and that, when further developed, will lead to a fully enhanced global carbon observatory capable of real-time assessment of the ocean carbon sink, a needed constraint for assessment of carbon management policies on a global scale.

When physicist Tim Berners-Lee and a team of fellow scientists at the European Center for High Energy Physics (CERN) launched the first-ever Web site in 1989, their goal was to make it easier for scientists to access research documents and scientific data (CERN, 2008). In 1998, Virginia Sea Grant educators at the Virginia Institute of Marine Science (VIMS) had a similar goal: to make ocean science educational resources and current research data more accessible to classroom teachers. The Virginia Sea Grant education team took the first step toward accomplishing this goal by launching a Web site of its own, called "Bridge." The name was inspired by the idea of a ship's bridge with a teacher at the helm, navigating "an ocean of marine education data." It also represents a bridge spanning the divide between the education and the ocean research communities, which is the essence of the Bridge project's mission.

The National Oceanographic Partnership Program provided critical support to the development of Seaglider long-range autonomous underwater vehicles. This support enabled: (1) development and integration of chemical and biological sensors, (2) transition to low-power, bi-directional satellite communication, and (3) software upgrades to enhance capability and reliability. Sponsored improvements led to setting the mission endurance and range records for autonomous underwater vehicles, wide use by the oceanographic community, and licensing for commercialization.

In 2002, a National Oceanographic Partnership Program project was initiated with the ambitious objective of maximizing the use of currently and soon-to-be-available satellite ocean surface vector wind (OSVW) data, such as NASA's QuikSCAT scatterometer, in the operational weather forecasting and warning environment. This effort brought together people from the operational forecasting and satellite remote-sensing communities, academia, and the private sector. This diverse gathering of skill and experience yielded documentation of the impacts of these data in the operational short-term warning and forecasting environment of the National Oceanic and Atmospheric Administration's (NOAA's) National Weather Service, improvement in the use of these data in the public and private sectors, and the transition of promising research results into the operational environment. This project helped create momentum that has continued to grow long after the formal effort ended; today, NOAA uses QuikSCAT operationally and is investigating how to best establish a sustained satellite OSVW observing capability.

Following on the heels of the World Ocean Circulation Experiment, the Estimating the Circulation and Climate of the Ocean (ECCO) consortium has been directed at making the best possible estimates of ocean circulation and its role in climate. ECCO is combining state-of-the-art ocean general circulation models with the nearly complete global ocean data sets for 1992 to present. Solutions are now available that adequately fit almost all types of ocean observations and that are, simultaneously, consistent with the model. These solutions are being applied to understanding ocean variability, biological cycles, coastal physics, geodesy, and many other areas.

In 2004, researchers from across North America came together to investigate six World War II-era shipwrecks discovered in the Gulf of Mexico. The science team included marine archaeologists, microbiologists, marine vertebrate and invertebrate zoologists, a molecular biologist, an oceanographer, remotely operated vehicle technicians, and professional marine surveyors. The US Department of the Interior, Minerals Management Service, and the National Oceanic and Atmospheric Administration Office of Ocean Exploration and Research sponsored this multidisciplinary project under the auspices of the National Oceanographic Partnership Program. The organizational involvement included six universities, two nonprofit organizations, three commercial companies, and three federal agencies. All six vessels studied were casualties of World War II. Each was found during modern oil and gas surveys in water depths ranging from 87 to 1,964 meters. Today, these wrecks function as artificial reefs. Their well-documented sinking dates offer biologists a unique opportunity to study the "artificial reef effect" of manmade structures in deep water. Historically, these sites represent an underwater battlefield and a vital historical resource documenting a little-studied area of world history. They preserve information vital to scholarly and popular understanding of the impact of World War II in the Gulf of Mexico, on the American home front, and in the wider world.

Recent work on the potential economic value of improved coastal ocean observing capabilities suggests that aggregate values of better ocean observing system information for all US waters could be in the hundreds of millions of dollars per year. This aggregate value derives from specific information delivered to particular user groups in particular regions; the scale of benefits depends on the economic importance of the user sectors and on their ability to make use of better information about local and regional marine conditions. As we continue to refine these estimates of economic value, information on benefits is becoming sufficiently specific to be useful in the observing system design process. This paper describes a National Oceanographic Partnership Program study on the economics of ocean observing system information, presents a framework for incorporating economic information into observing system design, and sketches the beginning of an application of this process to the northeast region of the United States.

The Argo Program has created the first global array for observing the subsurface ocean. Argo arose from a compelling scientific need for climate-relevant ocean data; it was made possible by technology development and implemented through international collaboration. The float program and its data management system began with regional arrays in 1999, scaled up to global deployments by 2004, and achieved its target of 3000 active instruments in 2007. US Argo, supported by the National Oceanic and Atmospheric Administration and the Navy through the National Oceanographic Partnership Program, provides half of the floats in the international array, plus leadership in float technology, data management, data quality control, international coordination, and outreach. All Argo data are freely available without restriction, in real time and in research-quality forms. Uses of Argo data range from oceanographic research, climate research, and education, to operational applications in ocean data assimilation and seasonal-to-decadal prediction. Argo's value grows as its data accumulate and their applications are better understood. Continuing advances in profiling float and sensor technologies open many exciting possibilities for Argo's future, including expanding sampling into high latitudes and the deep ocean, improving near-surface sampling, and adding biogeochemical parameters.

The National Oceanographic Partnership Program (NOPP) was created by the Fiscal Year 1997 Defense Authorization Act. It called for the establishment of a partnership program to promote the national goals of assuring national security, advancing economic development, protecting quality of life, and strengthening science education and communication through improved knowledge of the ocean. Fifteen US federal agencies comprise this partnership, which has expended more than $295M over ten years on a variety of activities. NOPP has been a true partnership among equals that has substantially moved the United States forward in the areas of ocean research, operations, technology, education, and natural resource management. NOPP's funding requirements have spurred the ocean research and education communities to develop strong, long-term collaborations among different sectors—academia, government, industry, and nongovernmental organizations. NOPP has allowed agencies to leverage their funds, increasing the impact of individual agency investment and accelerating the agencies' abilities to meet their high-priority goals. This leveraged investment results in more high-priority tasks getting done in the same time period than would occur if each agency were to fund the work individually. The combination of enhanced, effective partnerships among both funders and performers has resulted in accelerated research in some areas and a stronger voice for oceanography in the research and education communities. This article provides a history of NOPP. It also identifies and discusses specific areas in which NOPP involvement and/or influence has led to significant accomplishment, both through funded research and through intellectual stimulation and inspiration.

The Rutgers University (RU) Coastal Ocean Observation Lab (COOL) is an enduring product of the National Oceanographic Partnership Program (NOPP). The key to its longevity is the academic, industry, and government partnerships that were formed through the NOPP process. These partnerships were galvanized by time at sea and then sustained through peer-reviewed proposals. The lab operates an advanced ocean observatory that has maintained a continuous presence on the New Jersey continental shelf since 1992. Key technologies for sustained spatial observations include locally acquired satellite infrared and ocean color imagery, a multistatic high-frequency radar array, and a fleet of autonomous underwater gliders. COOL provides a regional perspective that supports interdisciplinary process studies; provides a test bed, allowing rapid spiral development of sensors and platforms; and has anchored new "campaign" science programs where hundreds of scientists come together for intensive multi-institutional experiments. RU COOL is now a core component of the National Oceanic and Atmospheric Administration Mid-Atlantic Regional Ocean Observing System that, in 2007, began providing data for the full shelf from Cape Cod to Cape Hatteras. Looking to the future, in collaboration with partners from around the globe, the International Consortium of Ocean Observing Labs was formed to focus on improving global ocean observing. The NOPP approach was new and unique when introduced. Its philosophy of partnership among diverse groups was fundamental to the success of COOL and, we believe, will sustain international collaborations into the future.

The science needed to understand highly migratory marine mammal, sea bird, and sea turtle species is not adequately addressed by individual data collections developed for a single region or single time period. These data must be brought together into a common, global map based on a coherent, interoperable, and openly accessible information system. This need was clearly articulated by the National Oceanographic Partnership Program (NOPP) and the Alfred P. Sloan Foundation when they co-sponsored a new effort to directly address this issue in 2002. The result is OBIS-SEAMAP: the world data-center for marine mammal, sea bird, and sea turtle information. OBIS-SEAMAP brings together georeferenced distribution, abundance, and telemetry data with tools to query and assess these species in a dynamic and searchable environment. In a second round of NOPP support that began in 2007, the National Science Foundation is helping expand this effort into new technologies and data types. To date, the OBIS-SEAMAP information system includes more than 2.2 million observation records from over 230 data sets spanning 73 years (1935–2008), and growth of this data archive is accelerating. All of these data are provided by a growing international network of individual and institutional data providers.

During the past five to ten years, a broad partnership of institutions under NOPP sponsorship has collaborated in developing and demonstrating the performance and application of eddy-resolving, real-time global- and basin-scale ocean prediction systems using the HYbrid Coordinate Ocean Model (HYCOM). The partnership represents a broad spectrum of the oceanographic community, bringing together academia, federal agencies, and industry/commercial entities, and spanning modeling, data assimilation, data management and serving, observational capabilities, and application of HYCOM prediction system outputs. In addition to providing real-time, eddy-resolving global- and basin-scale ocean prediction systems for the US Navy and NOAA, this project also offered an outstanding opportunity for NOAA-Navy collaboration and cooperation, ranging from research to the operational level. This paper provides an overview of the global HYCOM ocean prediction system and highlights some of its achievements. An important outcome of this effort is the capability of the global system to provide boundary conditions to even higher-resolution regional and coastal models.

The advent of ocean observatories is creating unique opportunities for deploying novel sensor systems. We are exploring that potential through the development and application of the Environmental Sample Processor (ESP). ESP is an electromechanical/fluidic system designed to collect discrete water samples, concentrate microorganisms, and automate application of molecular probe technologies. Development and application of ESP grew from extensive partnerships galvanized by the National Oceanographic Partnership Program. Near-real-time observations are currently achieved using low-density DNA probe and protein arrays. Filter-based sandwich hybridization methodology enables direct detection of ribosomal RNA sequences diagnostic for groups of bacteria and archaea, as well as a variety of invertebrates and harmful algal species. An antibody-based technique is used for detecting domoic acid, an algal biotoxin. To date, ESP has been deployed in ocean waters from the near surface to 1000 m. Shallow-water deployments demonstrated application of all four types of assays in single deployments lasting up to 30 days and provided the first remote detection of such phylogenetically diverse organisms and metabolites on one platform. Deep-water applications focused on detection of invertebrates associated with whale falls, using remotely operated vehicle-based operations lasting several days. Current work emphasizes incorporating a four-channel, real-time polymerase chain reaction module, extending operations to 4000-m water depth, and increasing deployment duration.

Sea surface temperature (SST) measurements are vital to global weather prediction, climate change studies, fisheries management, and a wide range of other applications. Measurements are taken by several satellites carrying infrared and microwave radiometers, moored buoys, drifting buoys, and ships. Collecting all these measurements together and producing global maps of SST has been a difficult endeavor due in part to different data formats, data location and accessibility, and lack of measurement error estimates. The need for a uniform approach to SST measurements and estimation of measurement errors resulted in the formation of the international Global Ocean Data Assimilation Experiment (GODAE) High Resolution SST Pilot Project (GHRSST-PP). Projects were developed in Japan, Europe, and Australia. Simultaneously, in the United States, the Multi-sensor Improved SST (MISST) project was initiated. Five years later, the MISST project has produced satellite SST data from nine satellites in an identical format with ancillary information and estimates of measurement error. Use of these data in global SST analyses has been improved through research into modeling of the ocean surface skin layer and upper ocean diurnal heating. These data and research results have been used by several groups within MISST to produce high-resolution global maps of SSTs, which have been shown to improve tropical cyclone prediction. Additionally, the new SSTs are now used operationally for marine weather warnings and forecasts.

Agencies participating in the National Oceanographic Partnership Program (NOPP) collectively invested over $295 million during the last ten years on significant collaborative activities that might not have been accomplished without the NOPP framework. The partnerships formed added efficiency to research and development, reduced duplication of effort, focused education programs, and strengthened communication of ocean issues.

In some legume–rhizobium symbioses, host specificity is influenced by rhizobial nodulation outer proteins (Nops). However, the genes encoding host proteins that interact with Nops remain unknown. We generated an Ensifer fredii HH103 NopP mutant (HH103ΩNopP), and analyzed the nodule number (NN) and nodule dry weight (NDW) of 10 soybean germplasms inoculated with the wild-type E. fredii HH103 or the mutant strain. An analysis of recombinant inbred lines (RILs) revealed the quantitative trait loci (QTLs) associated with NopP interactions. A soybean genomic region containing two overlapping QTLs was analyzed in greater detail. A transcriptome analysis and qRT-PCR assay were used to identify candidate genes encoding proteins that interact with NopP. In some germplasms, NopP positively and negatively affected the NN and NDW, while NopP had different effects on NN and NDW in other germplasms. The QTL region in chromosome 12 was further analyzed. The expression patterns of candidate genes Glyma.12g031200 and Glyma.12g073000 were determined by qRT-PCR, and were confirmed to be influenced by NopP. [ABSTRACT FROM AUTHOR]