scholarly journals Microarray-Based Genetic Footprinting Strategy to Identify Strain Improvement Genes after Competitive Selection of Transposon Libraries

2011 ◽  
pp. 83-97 ◽  
Author(s):  
Alison K. Hottes ◽  
Saeed Tavazoie
Keyword(s):  
Strain Improvement ◽  
Competitive Selection ◽  
Genetic Footprinting ◽  
Selection Of

Tax Loss Carrybacks: Investment Stimulus versus Misallocation

2017 ◽  
Vol 93 (4) ◽  
pp. 101-125 ◽  
Author(s):  
Inga Bethmann ◽  
Martin Jacob ◽  
Maximilian A. Müller
Keyword(s):  
Productivity Loss ◽  
Future Prospects ◽  
Competitive Selection ◽  
Aggregate Output ◽  
Tax Regimes ◽  
Investment Response ◽  
Tax Loss ◽  
Loss Firms ◽  
Jel Classifications ◽  
Selection Of

ABSTRACT Tax regimes treat losses and profits asymmetrically when profits are immediately taxed, but losses are not immediately refunded. We find that treating losses less asymmetrically by granting refunds less restrictively increases loss firms' investment: A third of the refund is invested and the rest is held as cash or returned to shareholders. However, the investment response is driven primarily by firms prone to engage in risky overinvestment. Consistent with the risk of misallocation, we find a delayed exit of low-productivity loss firms receiving less restrictive refunds, indicating potential distortion of the competitive selection of firms. This distortion also negatively affects aggregate output and productivity. Our results suggest that stimulating loss firms' investment with refunds unconditional on their future prospects comes at the risk of misallocation. JEL Classifications: G31; H21; H25.

scholarly journals GABA promotes the competitive selection of dendritic spines by controlling local Ca2+ signaling

2013 ◽  
Vol 16 (10) ◽  
pp. 1409-1416 ◽  
Author(s):  
Tatsuya Hayama ◽  
Jun Noguchi ◽  
Satoshi Watanabe ◽  
Noriko Takahashi ◽  
Akiko Hayashi-Takagi ◽  
...  
Keyword(s):  
Dendritic Spines ◽  
Competitive Selection ◽  
Selection Of

scholarly journals Genetic Footprinting in Bacteria

2001 ◽  
Vol 183 (5) ◽  
pp. 1694-1706 ◽  
Author(s):  
Roberta S. Hare ◽  
Scott S. Walker ◽  
Thomas E. Dorman ◽  
Jonathan R. Greene ◽  
Luz-Maria Guzman ◽  
...  
Keyword(s):  
Recombinant Proteins ◽  
High Frequency ◽  
Growth Conditions ◽  
Sequence Specificity ◽  
Bacteriophage Λ ◽  
E Coli ◽  
Genetic Footprinting ◽  
Transposon Insertions ◽  
Selection Of

ABSTRACT In vivo genetic footprinting was developed in the yeastSaccharomyces cerevisiae to simultaneously assess the importance of thousands of genes for the fitness of the cell under any growth condition. We have developed in vivo genetic footprinting forEscherichia coli, a model bacterium and pathogen. We further demonstrate the utility of this technology for rapidly discovering genes that affect the fitness of E. coli under a variety of growth conditions. The definitive features of this system include a conditionally regulated Tn10 transposase with relaxed sequence specificity and a conditionally regulated replicon for the vector containing the transposase and mini-Tn10transposon with an outwardly oriented promoter. This system results in a high frequency of randomly distributed transposon insertions, eliminating the need for the selection of a population containing transposon insertions, stringent suppression of transposon mutagenesis, and few polar effects. Successful footprints have been achieved for most genes longer than 400 bp, including genes located in operons. In addition, the ability of recombinant proteins to complement mutagenized hosts has been evaluated by genetic footprinting using a bacteriophage λ transposon delivery system.

scholarly journals Transition to a Competitive Consultant Selection Method: A Case Study of a Public Agency in Israel

10.28945/4891 ◽  
2021 ◽  
Vol 16 ◽  
pp. 491-503
Author(s):  
Amichai Mitelman ◽  
Yahel Giat
Keyword(s):  
Data Storage ◽  
Selection Process ◽  
Selection Method ◽  
Competitive Bidding ◽  
Future Research ◽  
Sources Of Information ◽  
Qualitative Comparison ◽  
Competitive Selection ◽  
Selection Of

Aim/Purpose: This paper reports a case study of organizational transition from a non-competitive selection method to a novel bidding method for the selection of consultants in the Architectural and Engineering (A/E) industry. Background: Public procurement agencies are increasingly relying on external consultants for the design of construction projects. Consultant selection can be based on either competitive bidding, or quality-based criteria, or some combination between these two approaches. Methodology: Different sources of information were reviewed: internal documents, and quantitative data from the enterprise software platform (ERP). In addition, informal and unstructured interviews were conducted with relevant officials. Contribution: As there are mixed opinions in the scientific literature regarding the use of competitive bidding for the selection of consultants in the A/E industry, this paper contributes a detailed review of a transition to a competitive selection method and provides a financial and qualitative comparison between the two methods. In addition, the method implemented is novel, as it delegates most of the responsibility of hiring and managing consultants to one main contractor. Findings: While the new selection method was intended to reduce bureaucratic overload, it has unexpectedly also succeeded to reduce costs as well. Recommendations for Practitioners: It may be more efficient and profitable to adopt the selection method described in this study. Recommendation for Researchers: Similar methods can be applied to other industries successfully. Impact on Society: Our method was applied in a public organization and resulted in a better outcome, both financial and managerial. Adopting this approach can benefit public budgets. Future Research: The selection, data storage, and analysis methods are interrelated components. Future analysis of these components can help better shape the consultant selection process.

scholarly journals Heterogeneous A40926 Self-Resistance Profile in Nonomuraea gerenzanensis Population Informs Strain Improvement

Fermentation ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 140
Author(s):  
Elisa Binda ◽  
Francesca Berini ◽  
Flavia Marinelli ◽  
Adriana Bava ◽  
Fabrizio Beltrametti
Keyword(s):  
Population Analysis ◽  
Strain Improvement ◽  
Glycopeptide Antibiotic ◽  
Wild Type ◽  
Resistant Population ◽  
Type Population ◽  
The Cost ◽  
Slow Growing ◽  
Natural Precursor ◽  
Selection Of

Nonomuraea gerenzanensis ATCC 39727 produces the glycopeptide antibiotic A40926, which is the natural precursor of the semi-synthetic, last-resort drug dalbavancin. To reduce the cost of dalbavancin production, it is mandatory to improve the productivity of the producing strain. Here, we report that the exposure of N. gerenzanensis wild-type population to sub-inhibitory concentrations of A40926 led to the isolation of differently resistant phenotypes to which a diverse A40926 productivity was associated. The most resistant population (G, grand colonies) represented at least the 20% of the colonies growing on 2 µg/mL of A40926. It showed a stable phenotype after sub-culturing and a homogeneous profile of self-resistance to A40926 in population analysis profile (PAP) experiments. The less resistant population (P, petit) was represented by slow-growing colonies to which a lower A40926 productivity was associated. At bioreactor scale, the G variant produced twice more than the wild-type (ca. 400 mg/L A40926 versus less than 200 mg/L, respectively), paving the way for a rational strain improvement based on the selection of increasingly self-resistant colonies.

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