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The latter are most frequent for proline (G. haemolysans, L. hominis, L. inners) and methionine (A. tetradius, M. luteus, R. dentocariosa). ... defined as: 1,3 = 1,3 ⋅ @ -1,C ⋅ 3,C C∈E F where SCS (species coupling score), MPS (metabolite production score) and MUS (metabolite uptake score) are calculated as defined in Zelezniak et al 23 , and M ...doi:10.1101/2020.01.28.922583 fatcat:dttqqe7b3zgkpmug736nfet7v4
Microbiota is known to interact with metabolic and regulatory networks of the host affecting its fitness. The composition of microbiota was shown to change throughout the host aging. Such changes can be likely caused by aging process or, vice versa, changes in microbiota composition can impact the aging process. It is suggested that microbiota plays an important role in life span determination. Several species from the genus Drosophila, especially D. melanogaster, are powerful models to studydoi:10.1007/978-3-319-18326-8_4 fatcat:btbj7co5grfbta6aiapsrf3wvy
more »... ny biological processes including microbiota functioning and its effects on the host aging. The host fitness can be substantially affected by endosymbiotic bacteria such as Wolbachia that infects up to two-thirds of insects taxa, including Drosophila. Wolbachia was shown to significantly affect Drosophila aging and life span. However, the molecular mechanisms underlying interactions between Wolbachia and Drosophila remain mostly unknown. In this chapter, we summarize data suggesting that Wolbachia-Drosophila molecular cross-talk associated with life span determination and aging can occur through the immune deficiency pathway, stress-induced JNK pathway, insulin/IGF signaling pathway, ecdysteroid biosynthesis and signaling pathway, as well as through the heat shock and autophagy-specific genes/proteins.
Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, Holden MTG, et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 2015; 31: 3691-3693. 31. Seemann T. ...doi:10.1101/735696 fatcat:454jtye3nneojd65wccn7dk6fq
Drosophila simulans Sturtevant, 1919 and Drosophila melanogaster Meigen, 1830 are sibling species that occupy similar niches. However, unlike D. simulans, D. melanogaster has spread far beyond tropical and subtropical regions deep into temperate climate zones. A number of invasion events by D. simulans into temperate climate zones have been reported, however its ability to overwinter and establish local populations in these areas is disputed. Here we report the wide dispersal of D. simulans indoi:10.1139/cjz-2015-0018 fatcat:qjayknkkgfd5tcmghuxczh74bu
more »... ixed populations with D. melanogaster in Ukraine. D. simulans flies found in Ukraine belong to the siII mtDNA haplogroup and are infected with maternally inherited intracellular symbiotic bacteria of the genus Wolbachia sp. of the strain wRi. These genetic markers indicate a common origin of the Ukrainian D. simulans flies from a subgroup of the species found to invade other temperate climate areas worldwide. Here, we report for the first time detection of D. simulans flies early in the breeding season in a temperate climate area with severe winter conditions. We also report a moderate negative relationship between D. simulans relative abundance and average temperature in the month of sampling reflecting this species' known lower tolerance of high temperatures.
Following command was used to build phylogenetic tree: iqtree -s <input snp file> -m GTR+ASC -B 1000. ...doi:10.1101/2022.02.16.480740 fatcat:7sjzyz2dfrhsdj73lifdbkbuqu
(M = 21.52, s.d. = 1.81). Participants had normal or corrected to normal vision and gave their written consent to participate. ... (M = 23.15, s.d. = 2.52). Participants had normal or corrected to normal vision and gave their written consent to participate. Participants received 30 euros for their participation. ...doi:10.1101/507194 fatcat:oupqksmwobdcdapyeaxeqdazta
Acknowledgements The authors would like to thank Sina Klai of the University of Zü rich, Switzerland, Johanna M Schmidt and Gereon Rieke of the University of Bonn, Germany, for helpful comments and discussions ... We thank Anna M Glazek and Yan Ping Yuan for bioinformatics support, Stefanie Kandels-Lewis of the EMBL for support on sample logistics and administration, Rajna Hercog, Jan Provaznik and Vladimir Benes ... M Maistrenko, Resources, Investigation, Writing-review and editing; Renato JC Alves, Data curation, Investigation; Emma Bergsten, Investigation, Writing-review and editing; Carine de Beaufort, Iradj Sobhani ...doi:10.7554/elife.42693 pmid:30747106 pmcid:PMC6424576 fatcat:tfl3gmfjizhdhlhvvylf7pkqfm
The ISME Journal
Affiliations Oleksandr M. Maistrenko 1 • Daniel R. Mende ...doi:10.1038/s41396-020-0600-z pmid:32047279 pmcid:PMC7174425 fatcat:vkxd73n52jdnzkq3fdve6mntay
The MPILEUP files were processed using npstat v.1 (Ferretti et al. 2013) with 323 parameters -maxcov 10000 and -nolowfreq m=0 in order to include all filtered positions for 324 analysis. ... Here, the two populations were sampled for n/2 individuals and 361 genotyped at m=33,000 markers. Furthermore, we included SNPs as a function of the percent 362 variance explained by each PC. ...doi:10.1093/molbev/msab259 pmid:34469576 pmcid:PMC8662648 fatcat:c76teiscf5hrdozrqaaia6inj4
Maistrenko O.V. ... Mauder J. (1981) Investigation of Operations: monograph. [ Yssledovanye operacyj], M, Mir, 678 p. 16. ...doaj:4a803ed71c1a49f8a0fbe965512e0ff8 fatcat:z3dtce627bdhtmozix3xl3p6dm
M Maistrenko http://orcid.org/0000-0003-1961-7548 Wasiu A Akanni http://orcid.org/0000-0002-2075-2387 Bilal Alashkar Alhamwe http://orcid.org/0000-0002-7120-0013 Renato J Alves http://orcid.org/0000-0002 ... orcid.org/0000-0001-8587-4177 Esther Molina-Montes http://orcid.org/0000-0002-0428-2426 Sandra Rodríguez-Perales http://orcid.org/0000-0001-7221-3636 Jakob Wirbel http://orcid.org/0000-0002-4073-3562 Oleksandr ... Hybridisation was done in 20 µL of hybridisation buffer (20 nM Tris, pH 8.0. 0.9 M NaCl, 0.02% sodium dodecyl sulfate, 30% formamide) added to 100 ng of the probe. ...doi:10.1136/gutjnl-2021-324755 pmid:35260444 fatcat:egidus6rfvfavayug47nrffq2e
For more details on Eq. (14) and the threedimensional Kuramoto model (13) see [Maistrenko et al., 2004; Maistrenko et al., 2005] . ... With the transformation ψ i → ψ i + C, the dynamics is reduced from M C to M = M 0 of the form (6). ...doi:10.1142/s0218127405014155 fatcat:lqrfp7qc7vcsvdek3tuuviqmxe
Biodiversity Data Journal 4: e10293. https://doi.org/10.3897/BDJ.4.e10293 Shiyan, Natalia M. 2011. Herbaria of Ukraine. Index Herbariorum Ucrainicum. Kyiv: Altpress. ... ZooKeys 618: 145-158. https://doi.org/10.3897/zookeys.618.9986 Thiers, Barbara M. 2019. "The World's Herbaria 2018: A Summary Report Based on Data from Index Herbariorum." ...doi:10.5281/zenodo.3594473 fatcat:zwwltjpzlfbnddziscofrjq4aq
Acknowledgments We thank the following for stimulating discussions in relation to this work: Danny Abrams, Ana Dias, Christian Kuehn, Carlo Laing, Yuri Maistrenko, Erik Martens, Mark Panaggio and Jan Sieber ... We particularly thank the reviewers for making a number of comments that allowed us to improve the exposition in the paper, and we thank Yuri Maistrenko for suggesting the phrase "weak chimera". ... The network decouples in the case ǫ = 0 into m uncoupled but identical modules (networks) of k phase oscillators. ...doi:10.1063/1.4905197 pmid:25637917 fatcat:uvb7q7yftrgudcjzg23gjze46u
First, Eq. 20 assumes the limit of large networks, i.e., N, M whereas in the numerical simulations, we used N = M = 100. ... Maistrenko et al. (2007) describe as well neurons as phase oscillators, but they allow potentiation and depression time constants to be different. ... If we insert this expression back into Eq. 36, we get: ACKNOWLEDGMENTS We thank Oleksandr Popovych for fruitful discussions. Jean-Pascal Pfister has been supported by the Wellcome Trust. ...doi:10.3389/fncom.2010.00022 pmid:20802859 pmcid:PMC2928668 fatcat:7jxu5gzaj5grhlaf7v4zknykgm
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