| 1. |
- Tsypik, O, et al.
(författare)
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Transcriptional regulators of GntR family in Streptomyces coelicolor A3(2): analysis in silico and in vivo of YtrA subfamily.
- 2015
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Ingår i: Folia Microbiologica. - : Springer Science and Business Media LLC. - 1874-9356 .- 0015-5632.
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Tidskriftsartikel (refereegranskat)abstract
- Transcriptional factors of the GntR family regulate numerous physiological and morphological processes in response to the nutrient state of bacterial cells. The number of GntR transcriptional factors in genomes of soil-dwelling actinomycetes is one of the highest among bacteria, reflecting both the large size of their chromosomes and the complex ecological niche that they occupy. However, very little is known about the roles of GntRs in actinomycete biology. Here, we analyzed the genome of model actinomycete, Streptomyces coelicolor A3(2), in an attempt to gain new insights into the function of GntR family. All 56 GntR proteins of M145 strain were classified into FadR, HutC, MocR, YtrA, and DevA subfamilies according to their secondary structure. We then checked for the presence of GntR orthologs in six other sequenced Streptomyces and one Kitasatospora genomes, revealing that 12 GntRs were conserved in all analyzed strains. Genomic analysis of the less studied YtrA type regulators revealed 160 sequences present in 88 members of Coriobacteridae, Rubrobacteridae, and Actinobacteridae subclasses. These proteins form seven dense clusters on the consensus phylogenetic tree and their genes are usually co-located with the genes for transport proteins. Probable operator sites were identified for orthologous groups of Sco0823 and Sco3812 proteins. All S. coelicolor YtrA-like regulatory genes (SCO0823, SCO1728, SCO3812) were analyzed at transcriptional level, knocked out, and introduced on moderate copy number plasmid in M145 strain. Also, gene SCO0824, a part of putative SCO0823 operon, was studied. Results of these experiments are discussed here.
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| 2. |
- Valerio, Turri, 1987-, et al.
(författare)
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Fuel-optimal look-ahead adaptive cruise control for heavy-duty vehicles
- 2018
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Ingår i: 2018 Annual American Control Conference (ACC). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538654286 ; , s. 1841-1848
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Konferensbidrag (refereegranskat)abstract
- In this paper, we investigate the problem of how to optimally control a heavy-duty vehicle following another one, commonly referred as ad-hoc or non-cooperative platooning. The problem is formulated as an optimal control problem that exploits road topography information and the knowledge of the preceding vehicle speed trajectory to compute the optimal engine torque and gear request for the vehicle under control. The optimal control problem is implemented by dynamic programming and is tested in a simulation study that compares the performance of multiple longitudinal control strategies. The proposed look-ahead adaptive cruise controller is able to achieve fuel saving up to 7% with respect to the use of a reference vehicle-following controller, by combining the benefits of adjusting the inter-vehicular distance according to the future slope with those of alternating phases of throttling and freewheeling (driving in neutral gear).
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