The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Jiarong Yang - One of the best experts on this subject based on the ideXlab platform.
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threshold microsclerotial inoculum for cotton verticillium wilt determined through wet Sieving and real time quantitative pcr
Phytopathology, 2015Co-Authors: Feng Wei, Rong Fan, Haitao Dong, Wenjing Shang, Heqin Zhu, Jiarong YangAbstract:ABSTRACT Quantification of Verticillium dahliae microsclerotia is an important component of wilt management on a range of crops. Estimation of microsclerotia by dry or wet Sieving and plating of soil samples on semiselective medium is a commonly used technique but this method is resource-intensive. We developed a new molecular quantification method based on Synergy Brands (SYBR) Green real-time quantitative polymerase chain reaction of wet-Sieving samples (wet-Sieving qPCR). This method can detect V. dahliae microsclerotia as low as 0.5 CFU g−1 of soil. There was a high correlation (r = 0.98) between the estimates of conventional plating analysis and the new wet-Sieving qPCR method for 40 soil samples. To estimate the inoculum threshold for cotton wilt, >400 soil samples were taken from the rhizosphere of individual plants with or without visual wilt symptoms in experimental and commercial cotton fields at the boll-forming stage. Wilt inoculum was estimated using the wet-Sieving qPCR method and related to...
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threshold microsclerotial inoculum for cotton verticillium wilt determined through wet Sieving and real time quantitative pcr
Phytopathology, 2015Co-Authors: Feng Wei, Rong Fan, Haitao Dong, Wenjing Shang, Heqin Zhu, Jiarong YangAbstract:Quantification of Verticillium dahliae microsclerotia is an important component of wilt management on a range of crops. Estimation of microsclerotia by dry or wet Sieving and plating of soil samples on semiselective medium is a commonly used technique but this method is resource-intensive. We developed a new molecular quantification method based on Synergy Brands (SYBR) Green real-time quantitative polymerase chain reaction of wet-Sieving samples (wet-Sieving qPCR). This method can detect V. dahliae microsclerotia as low as 0.5 CFU g(-1) of soil. There was a high correlation (r=0.98) between the estimates of conventional plating analysis and the new wet-Sieving qPCR method for 40 soil samples. To estimate the inoculum threshold for cotton wilt, >400 soil samples were taken from the rhizosphere of individual plants with or without visual wilt symptoms in experimental and commercial cotton fields at the boll-forming stage. Wilt inoculum was estimated using the wet-Sieving qPCR method and related to wilt development. The estimated inoculum threshold varied with cultivar, ranging from 4.0 and 7.0 CFU g(-1) of soil for susceptible and resistant cultivars, respectively. In addition, there was an overall relationship of wilt incidence with inoculum density across 31 commercial fields where a single composite soil sample was taken at each field, with an estimated inoculum threshold of 11 CFU g(-1) of soil. These results suggest that wilt risk can be predicted from the estimated soil inoculum density using the new wet-Sieving qPCR method. We recommend the use of 4.0 and 7.0 CFU g(-1) as an inoculum threshold on susceptible and resistant cultivars, respectively, in practical risk prediction schemes.
Feng Wei - One of the best experts on this subject based on the ideXlab platform.
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threshold microsclerotial inoculum for cotton verticillium wilt determined through wet Sieving and real time quantitative pcr
Phytopathology, 2015Co-Authors: Feng Wei, Rong Fan, Haitao Dong, Wenjing Shang, Heqin Zhu, Jiarong YangAbstract:ABSTRACT Quantification of Verticillium dahliae microsclerotia is an important component of wilt management on a range of crops. Estimation of microsclerotia by dry or wet Sieving and plating of soil samples on semiselective medium is a commonly used technique but this method is resource-intensive. We developed a new molecular quantification method based on Synergy Brands (SYBR) Green real-time quantitative polymerase chain reaction of wet-Sieving samples (wet-Sieving qPCR). This method can detect V. dahliae microsclerotia as low as 0.5 CFU g−1 of soil. There was a high correlation (r = 0.98) between the estimates of conventional plating analysis and the new wet-Sieving qPCR method for 40 soil samples. To estimate the inoculum threshold for cotton wilt, >400 soil samples were taken from the rhizosphere of individual plants with or without visual wilt symptoms in experimental and commercial cotton fields at the boll-forming stage. Wilt inoculum was estimated using the wet-Sieving qPCR method and related to...
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threshold microsclerotial inoculum for cotton verticillium wilt determined through wet Sieving and real time quantitative pcr
Phytopathology, 2015Co-Authors: Feng Wei, Rong Fan, Haitao Dong, Wenjing Shang, Heqin Zhu, Jiarong YangAbstract:Quantification of Verticillium dahliae microsclerotia is an important component of wilt management on a range of crops. Estimation of microsclerotia by dry or wet Sieving and plating of soil samples on semiselective medium is a commonly used technique but this method is resource-intensive. We developed a new molecular quantification method based on Synergy Brands (SYBR) Green real-time quantitative polymerase chain reaction of wet-Sieving samples (wet-Sieving qPCR). This method can detect V. dahliae microsclerotia as low as 0.5 CFU g(-1) of soil. There was a high correlation (r=0.98) between the estimates of conventional plating analysis and the new wet-Sieving qPCR method for 40 soil samples. To estimate the inoculum threshold for cotton wilt, >400 soil samples were taken from the rhizosphere of individual plants with or without visual wilt symptoms in experimental and commercial cotton fields at the boll-forming stage. Wilt inoculum was estimated using the wet-Sieving qPCR method and related to wilt development. The estimated inoculum threshold varied with cultivar, ranging from 4.0 and 7.0 CFU g(-1) of soil for susceptible and resistant cultivars, respectively. In addition, there was an overall relationship of wilt incidence with inoculum density across 31 commercial fields where a single composite soil sample was taken at each field, with an estimated inoculum threshold of 11 CFU g(-1) of soil. These results suggest that wilt risk can be predicted from the estimated soil inoculum density using the new wet-Sieving qPCR method. We recommend the use of 4.0 and 7.0 CFU g(-1) as an inoculum threshold on susceptible and resistant cultivars, respectively, in practical risk prediction schemes.
Steven R Tannenbaum - One of the best experts on this subject based on the ideXlab platform.
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a patterned anisotropic nanofluidic Sieving structure for continuous flow separation of dna and proteins
Nature Nanotechnology, 2007Co-Authors: Reto B Schoch, Anna L Stevens, Steven R Tannenbaum, Jongyoon HanAbstract:Microfabricated regular Sieving structures hold great promise as an alternative to gels to improve the speed and resolution of biomolecule separation. In contrast to disordered porous gel networks, these regular structures also provide well defined environments ideal for the study of molecular dynamics in confining spaces. However, the use of regular Sieving structures has, to date, been limited to the separation of long DNA molecules, however separation of smaller, physiologically relevant macromolecules, such as proteins, still remains a challenge. Here we report a microfabricated anisotropic Sieving structure consisting of a two-dimensional periodic nanofluidic filter array. The designed structural anisotropy causes different-sized or -charged biomolecules to follow distinct trajectories, leading to efficient separation. Continuous-flow size-based separation of DNA and proteins, as well as electrostatic separation of proteins, was achieved, demonstrating the potential use of this device as a generic molecular Sieving structure for an integrated biomolecule sample preparation and analysis system.
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a patterned anisotropic nanofluidic Sieving structure for continuous flow separation of dna and proteins
Nature Nanotechnology, 2007Co-Authors: Jianping Fu, Reto B Schoch, Anna L Stevens, Steven R TannenbaumAbstract:A patterned anisotropic nanofluidic Sieving structure for continuous-flow separation of DNA and proteins
Rodrigo Serna Guerrero - One of the best experts on this subject based on the ideXlab platform.
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statistical entropy analysis as tool for circular economy proof of concept by optimizing a lithium ion battery waste Sieving system
Journal of Cleaner Production, 2019Co-Authors: Omar Velazquez Martinez, K G Van Den Bogaart, Mari Lundstrom, Annukka Santasaloaarnio, M A Reuter, Rodrigo Serna GuerreroAbstract:Abstract With the concept of circular economy gaining strength as an alternative for the sustainable production of raw materials, there is an inherent need to develop methods capable of quantifying the efficiency of recycling systems, provide guidelines for optimization of existing technologies, and support the design of new products based on sound, scientific and engineering principles. The work hereby presented proposes the use of statistical entropy coupled with material flow analysis as a basis for the optimization of separation and purification processes. Unlike other efficiency parameters, this approach provides an analysis of component concentration or dilution from a systemic perspective, taking into consideration products, by-products and waste streams. As a proof-of-concept, a Sieving process for waste lithium-ion batteries (LIB) was chosen. It is demonstrated that using this approach it is possible to determine the stages that do not contribute to the concentration of components thus offering guidelines for process optimization. In the present case, the total number of Sieving stages can be decreased with a minimum impact on the concentration of the products. In comparison, it is also shown that the widely accepted exergy analysis is not able to identify the opportunities for optimization due to the particular characteristics of this exemplary system, i.e., negligible change in energy consumption as a function of Sieving stages and absence of chemical changes. Finally, the experimental results suggest that Al and Cu can be concentrated using a simple Sieving pre-processing step, perhaps in preparation for a subsequent refining stage.
Rong Fan - One of the best experts on this subject based on the ideXlab platform.
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threshold microsclerotial inoculum for cotton verticillium wilt determined through wet Sieving and real time quantitative pcr
Phytopathology, 2015Co-Authors: Feng Wei, Rong Fan, Haitao Dong, Wenjing Shang, Heqin Zhu, Jiarong YangAbstract:ABSTRACT Quantification of Verticillium dahliae microsclerotia is an important component of wilt management on a range of crops. Estimation of microsclerotia by dry or wet Sieving and plating of soil samples on semiselective medium is a commonly used technique but this method is resource-intensive. We developed a new molecular quantification method based on Synergy Brands (SYBR) Green real-time quantitative polymerase chain reaction of wet-Sieving samples (wet-Sieving qPCR). This method can detect V. dahliae microsclerotia as low as 0.5 CFU g−1 of soil. There was a high correlation (r = 0.98) between the estimates of conventional plating analysis and the new wet-Sieving qPCR method for 40 soil samples. To estimate the inoculum threshold for cotton wilt, >400 soil samples were taken from the rhizosphere of individual plants with or without visual wilt symptoms in experimental and commercial cotton fields at the boll-forming stage. Wilt inoculum was estimated using the wet-Sieving qPCR method and related to...
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threshold microsclerotial inoculum for cotton verticillium wilt determined through wet Sieving and real time quantitative pcr
Phytopathology, 2015Co-Authors: Feng Wei, Rong Fan, Haitao Dong, Wenjing Shang, Heqin Zhu, Jiarong YangAbstract:Quantification of Verticillium dahliae microsclerotia is an important component of wilt management on a range of crops. Estimation of microsclerotia by dry or wet Sieving and plating of soil samples on semiselective medium is a commonly used technique but this method is resource-intensive. We developed a new molecular quantification method based on Synergy Brands (SYBR) Green real-time quantitative polymerase chain reaction of wet-Sieving samples (wet-Sieving qPCR). This method can detect V. dahliae microsclerotia as low as 0.5 CFU g(-1) of soil. There was a high correlation (r=0.98) between the estimates of conventional plating analysis and the new wet-Sieving qPCR method for 40 soil samples. To estimate the inoculum threshold for cotton wilt, >400 soil samples were taken from the rhizosphere of individual plants with or without visual wilt symptoms in experimental and commercial cotton fields at the boll-forming stage. Wilt inoculum was estimated using the wet-Sieving qPCR method and related to wilt development. The estimated inoculum threshold varied with cultivar, ranging from 4.0 and 7.0 CFU g(-1) of soil for susceptible and resistant cultivars, respectively. In addition, there was an overall relationship of wilt incidence with inoculum density across 31 commercial fields where a single composite soil sample was taken at each field, with an estimated inoculum threshold of 11 CFU g(-1) of soil. These results suggest that wilt risk can be predicted from the estimated soil inoculum density using the new wet-Sieving qPCR method. We recommend the use of 4.0 and 7.0 CFU g(-1) as an inoculum threshold on susceptible and resistant cultivars, respectively, in practical risk prediction schemes.
