Spinach (Spinacia oleracea L.) is a dioecious plant with male heterogametic sex determination and homomorphic sex chromosomes (XY). The dioecism is utilized for producing commercial hybrid seeds, and hence understanding the molecular-genetic basis of the species' sex determining locus is an important issue for spinach breeding. In this study, seven dominant DNA markers were shown to completely co-segregate with the male-determining gene in segregating spinach populations comprising > 1500 plants. In addition, these seven dominant DNA markers were completely associated with the male-determining gene in over 100 spinach germplasm accessions and cultivars. These observations suggest that, in spinach, a Y-chromosomal region around the male-determining locus does not (or almost not) recombine with a counterpart region on the X chromosome. Using five of the seven DNA markers, five bacterial artificial chromosome (BAC) clone contigs with a total length of approximately 690 kbp were constructed. Full sequencing of six representative BAC clones (total insert length 504 kbp) from the five contigs and a transcriptome analysis by RNA-seq revealed that the Y-chromosomal region around the male-determining locus contains large amounts of repetitive elements, suggesting that the region might be poor in gene content. Most of the repeats found in this region are novel Ty1-copia-like and its derivative elements that accumulate predominantly in heterochromatic regions. Our findings may provide valuable insight into spinach genome structure and clues for future research into the evolution of the sex determining locus.
Abstract. Co-allocation of performance-guaranteed computing and network resources provided by several administrative domains is one of the key issues for constructing a QoS-guaranteed Grid. We propose an advance reservation-based co-allocation algorithm for both computing and network resources on a QoSguaranteed Grid, modeled as an integer programming (IP) problem. The goal of our algorithm is to create reservation plans satisfying user resource requirements as an on-line service. Also the algorithm takes co-allocation options for user and resource administrator issues into consideration. We evaluate the proposed algorithm with extensive simulation, in terms of both functionality and practicality. The results show: The algorithm enables efficient co-allocation of both computing and network resources provided by multiple domains, and can reflect reservation options for resource administrators issues as a first step. The calculation times needed for selecting resources using an IP solver are acceptable for an on-line service.
This paper describes innovative architectures and techniques for reserving and coordinating highly distributed resources, a capability required for many large scale applications. In the fall of 2006, Japan's G-lambda research team and the United States' EnLIGHTened Computing research team used these innovations to achieve the world's first inter-domain coordination of resource managers for in-advance reservation of network bandwidth and compute resources between and among both the US and Japan. The compute and network resource managers had different interfaces and were independently developed. Automated interoperability among the resources in both countries was enabled through various Grid middleware components. In this paper, we describe the middleware components, testbeds, results, and lessons learned.
A novel method for estimating energy consumption of networks at the national scale is presented. Accurate estimations of network energy consumption are increasingly important because of continuously increasing network traffic and the need to assess emerging energy technologies to achieve overall energy efficiency. However, direct estimations are not practical because of the complex, widely diverse, and undisclosed configurations of actual networks. The impact of each network's energy overhead, which is the energy consumed above that required to accommodate network traffic, on the energy consumption associated with these complex configurations must be inferred. In the proposed method, the energy overhead is quantitatively evaluated and introduced as overhead factors by comparing the energy consumption estimated from network configuration models (bottom-up methods) with reports of actual energy consumption (top-down methods). This proposed "unified" method is capable of long-term predictions of future technology trends, including network architecture changes. In this paper, we consider different overhead factors that serve as fitting parameters for different network areas, and demonstrate the procedure for determining each of these parameters through an estimation of the fixed broadband Internet in Japan. This unified method consistently estimates the long-term evolution of energy consumption from 2000 to 2030.Index Terms-Communication networks, Internet, network energy consumption, optical fiber communication.
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