-
Články
- Vzdělávání
- Časopisy
Top články
Nové číslo
- Témata
- Kongresy
- Videa
- Podcasty
Nové podcasty
Reklama- Kariéra
Doporučené pozice
Reklama- Praxe
Behavioral and brain- transcriptomic synchronization between the two opponents of a fighting pair of the fish Betta splendens
Autoři: Trieu-Duc Vu aff001; Yuki Iwasaki aff002; Shuji Shigenobu aff007; Akiko Maruko aff001; Kenshiro Oshima aff001; Erica Iioka aff002; Chao-Li Huang aff008; Takashi Abe aff009; Satoshi Tamaki aff010; Yi-Wen Lin aff005; Chih-Kuan Chen aff004; Mei-Yeh Lu aff004; Masaru Hojo aff005; Hao-Ven Wang aff005; Shun-Fen Tzeng aff005; Hao-Jen Huang aff005; Akio Kanai aff010; Takashi Gojobori aff011; Tzen-Yuh Chiang aff005; H. Sunny Sun aff012; Wen-Hsiung Li aff004; Norihiro Okada aff001
Působiště autorů: School of Pharmacy, Kitasato University, Tokyo, Japan aff001; Foundation for Advancement of International Science, Tsukuba, Japan aff002; Life Sciences and Biotechnology Dept, Tokyo Institute of Technology, Tokyo, Japan aff003; Biodiversity Research Center, Academia Sinica, Taipei, Taiwan aff004; Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan aff005; Nagahama Institute of Bio-Science and Technology, Nagahama, Japan aff006; National Institute for Basic Biology, Okazaki, Japan aff007; Institute of Tropical Plant Sciences, National Cheng Kung University, Tainan, Taiwan aff008; Graduate School of Science and Technology, Niigata University, Niigata, Japan aff009; Institute for Advanced Biosciences, Keio University, Yamagata, Japan aff010; Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia aff011; Institute of Molecular Medicine, National Cheng Kung University, Tainan, Taiwan aff012; Department of Ecology and Evolution, University of Chicago, IL, United States of America aff013
Vyšlo v časopise: Behavioral and brain- transcriptomic synchronization between the two opponents of a fighting pair of the fish Betta splendens. PLoS Genet 16(6): e32767. doi:10.1371/journal.pgen.1008831
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pgen.1008831Souhrn
Conspecific male animals fight for resources such as food and mating opportunities but typically stop fighting after assessing their relative fighting abilities to avoid serious injuries. Physiologically, how the fighting behavior is controlled remains unknown. Using the fighting fish Betta splendens, we studied behavioral and brain-transcriptomic changes during the fight between the two opponents. At the behavioral level, surface-breathing, and biting/striking occurred only during intervals between mouth-locking. Eventually, the behaviors of the two opponents became synchronized, with each pair showing a unique behavioral pattern. At the physiological level, we examined the expression patterns of 23,306 brain transcripts using RNA-sequencing data from brains of fighting pairs after a 20-min (D20) and a 60-min (D60) fight. The two opponents in each D60 fighting pair showed a strong gene expression correlation, whereas those in D20 fighting pairs showed a weak correlation. Moreover, each fighting pair in the D60 group showed pair-specific gene expression patterns in a grade of membership analysis (GoM) and were grouped as a pair in the heatmap clustering. The observed pair-specific individualization in brain-transcriptomic synchronization (PIBS) suggested that this synchronization provides a physiological basis for the behavioral synchronization. An analysis using the synchronized genes in fighting pairs of the D60 group found genes enriched for ion transport, synaptic function, and learning and memory. Brain-transcriptomic synchronization could be a general phenomenon and may provide a new cornerstone with which to investigate coordinating and sustaining social interactions between two interacting partners of vertebrates.
Klíčová slova:
Animal behavior – Fish physiology – Gene expression – Learning and memory – MAPK signaling cascades – RNA sequencing – Transcriptome analysis – Zebrafish
Zdroje
1. Darwin C. On the Origin of Species by Means of Natural Selection. Murray, London. 1859.
2. Arnott G, Elwood R. Information gathering and decision making about resource value in animal contests. Animal Behavior. 2008;76(3):529–42.
3. Arnott G, Elwood R. Assessment of fighting ability in animal contests. Anim Behaviour. 2009;77(5):991–1004.
4. Lindenfors P, Tullberg BS. Evolutionary aspects of aggression the importance of sexual selection. Adv Genet. 2011; 75 : 7–22. doi: 10.1016/B978-0-12-380858-5.00009-5 22078475
5. Taborsky B, Oliveira RF. Social competence: an evolutionary approach. Trends Ecol Evol. 2012;27(12):679–88. doi: 10.1016/j.tree.2012.09.003 23040461
6. Oliveira RF, Simoes JM, Teles MC, Oliveira CR, Becker JD, Lopes JS. Assessment of fight outcome is needed to activate socially driven transcriptional changes in the zebrafish brain. Proc Natl Acad Sci U S A. 2016;113(5): E654–61. doi: 10.1073/pnas.1514292113 26787876
7. Oliveira RF, McGregor PK, Latruffe C, PRSL B, Oliveira RF, McGregor PK, et al. Know thine enemy: fighting fish gather information from observing conspecific interactions. 1998 : 1045–9.
8. Lorenz K. On aggression. Routledge London & New York. 2005.
9. Kravitz EA, Huber R. Aggression in invertebrates. Curr Opin Neurobiol. 2003;13(6):736–43. doi: 10.1016/j.conb.2003.10.003 14662376
10. Tate M, McGoran RE, White CR. Life in a bubble: the role of the labyrinth organ in determining territory, mating and aggressive behaviours in anabantoids. 2017; 44 : 723–49.
11. Lin C-p, Lin H-c, Zoology B. Morphological and Biochemical Variations in the Gills of 12 Aquatic Air-Breathing Anabantoid Fish. 2014(May).
12. Monvises A, Nuangsaeng B, Sriwattanarothai N, Panijpan B. The Siamese fighting fish: well-known generally but little-known scientifically. SienceAsia. 2009; 35 : 8–16.
13. Simpson MJA. The Display of the Siamese Fighting Fish, Betta splendens. Animal Behavior Monographs. 1968;1(1): i-viii, 1–73.
14. Doutrelant C, McGregor PK, Oliveira RF. The effect of an audience on intrasexual communication in male Siamese fighting fish, Betta splendens. Behavioral Ecology. 2001;12(3):283–6.
15. Processes B. Type of intruder and reproductive phase influence male territorial defense in wild - caught Siamese fighting fish, Betta splendens. 2003.
16. Castro N, Ros A, Becker K, Oliveira R. Metabolic costs of aggressive behavior in the Siamese fighting fish, Betta splendens2006. 474–80 p.
17. Alton LA, Portugal SJ, White CR. Balancing the competing requirements of air-breathing and display behaviour during male-male interactions in Siamese fighting fish Betta splendens. Comp Biochem Physiol A Mol Integr Physiol. 2013;164(2):363–7. doi: 10.1016/j.cbpa.2012.11.012 23178457
18. Justus KT, Mendelson TC. Male preference for conspeci fi c mates is stronger than females’ in Betta. Behavioural Processes. 2018;151(February):6–10.
19. Schneider H. Measuring Agonistic Behavior in Zebrafish. Zebrafish Neurobehavioral Protocols. 2011; 51 : 125–34.
20. Matos RJ, McGregor PK. The effect of the sex of an audience on male-male displays of Siamese fighting fish (Betta splendens). Behaviour. 2002;138(9):1211–21.
21. Dzieweczynski TL, Leopard AK. The effects of stimulus type on consistency of responses to conflicting stimuli in Siamese fighting fish. Behav Processes. 2010;85(2):83–9. doi: 10.1016/j.beproc.2010.06.011 20600699
22. Verbeek P, Iwamoto T, Murakami N. Differences in aggression between wild-type and domesticated fighting fish are context dependent. Anim Behaviour. 2007;73(1):75–83.
23. Larson ET, O'Malley DM, Melloni RH Jr. Aggression and vasotocin are associated with dominant-subordinate relationships in zebrafish. Behav Brain Res. 2006;167(1):94–102. doi: 10.1016/j.bbr.2005.08.020 16213035
24. Clotfelter ED, O'Hare EP, McNitt MM, Carpenter RE, Summers CH. Serotonin decreases aggression via 5-HT1A receptors in the fighting fish Betta splendens. Pharmacol Biochem Behav. 2007;87(2):222–31. doi: 10.1016/j.pbb.2007.04.018 17553555
25. Clotfelter ED, McNitt MM, Carpenter RE, Summers CH. Modulation of monoamine neurotransmitters in fighting fish Betta splendens exposed to waterborne phytoestrogens. 2010 : 933–43.
26. Yang W, Wang Y, Zhu C, et al. De novo transcriptomic characterization of Betta splendens for identifying sex-biased genes potentially involved in aggressive behavior modulation and EST-SSR maker development. bioRxiv; 2018. doi: 10.1101/355354
27. Renn SC, Aubin-Horth N, Hofmann HA. Fish and chips: functional genomics of social plasticity in an African cichlid fish. J Exp Biol. 2008;211(Pt 18):3041–56. doi: 10.1242/jeb.018242 18775941
28. Filby AL, Paull GC, Hickmore TF, Tyler CR. Unravelling the neurophysiological basis of aggression in a fish model. BMC Genomics. 2010;11 : 498. doi: 10.1186/1471-2164-11-498 20846403
29. Sneddon LU, Margareto J, Cossins AR. The use of transcriptomics to address questions in behaviour: production of a suppression subtractive hybridisation library from dominance hierarchies of rainbow trout. Physiol Biochem Zool. 2005;78(5):695–705. doi: 10.1086/432141 16052453
30. Greenwood AK, Wark AR, Fernald RD, Hofmann HA. Expression of arginine vasotocin in distinct preoptic regions is associated with dominant and subordinate behaviour in an African cichlid fish. Proc Biol Sci. 2008;275(1649):2393–402. doi: 10.1098/rspb.2008.0622 18628117
31. Kroes RA, Panksepp J, Burgdorf J, Otto NJ, Moskal JR. Modeling depression: social dominance-submission gene expression patterns in rat neocortex. Neuroscience. 2006;137(1):37–49. doi: 10.1016/j.neuroscience.2005.08.076 16289586
32. Fan G, Chan J, Ma K, Yang B, Zhang H, Yang X, et al. Chromosome-level reference genome of the Siamese fighting fish Betta splendens, a model species for the study of aggression. Gigascience. 2018;7(11).
33. Axelrod R, Hamilton WD. The evolution of cooperation. science. 1981;211(4489):1390–6. doi: 10.1126/science.7466396 7466396
34. Bshary R, Grutter AS. Asymmetric cheating opportunities and partner control in a cleaner fish mutualism. Animal Behaviour. 2002;63(3):547–55.
35. Soares MC, Paula JR, Bshary R. Serotonin blockade delays learning performance in a cooperative fish. Animal cognition. 2016;19(5):1027–30. doi: 10.1007/s10071-016-0988-z 27107861
36. Paula JR, Messias JP, Grutter AS, Bshary R, Soares MC. The role of serotonin in the modulation of cooperative behavior. Behavioral Ecology. 2015;26(4):1005–12.
37. Cardoso SC, Paitio JR, Oliveira RF, Bshary R, Soares MC. Arginine vasotocin reduces levels of cooperative behaviour in a cleaner fish. Physiology & behavior. 2015;139 : 314–20.
38. Kingsbury L, Huang S, Wang J, Gu K, Golshani P, Wu YE. Correlated Neural Activity and Encoding of Behavior across Brains of Socially Interacting Animals Correlated Neural Activity and Encoding of Behavior across Brains of Socially Interacting Animals. Cell. 2019 : 1–18.
39. Zhang W, Yartsev MM. Article Correlated Neural Activity across the Brains of Socially Interacting Bats. Cell. 2019 : 1–16.
40. Kandel ER, Schwartz JH, Jessell TM. Principles of Neural Science, Fifth Edition. McGraw-Hill Companies, New York. 2000;4 : 1227–46.
41. Clayton DF. The genomic action potential. Neurobiol Learn Mem. 2000;74(3):185–216. doi: 10.1006/nlme.2000.3967 11031127
42. Cummings ME, Larkins-Ford J, Reilly CR, Wong RY, Ramsey M, Hofmann HA. Sexual and social stimuli elicit rapid and contrasting genomic responses. Proc Biol Sci. 2008;275(1633):393–402. doi: 10.1098/rspb.2007.1454 18055387
43. Maruska KP, Zhang A, Neboori A, Fernald RD. Social opportunity causes rapid transcriptional changes in the social behaviour network of the brain in an African cichlid fish. J Neuroendocrinol. 2013;25(2):145–57. doi: 10.1111/j.1365-2826.2012.02382.x 22958303
44. Oliveira RF, Silva JF, Simoes JM. Fighting zebrafish: characterization of aggressive behavior and winner-loser effects. Zebrafish. 2011;8(2):73–81. doi: 10.1089/zeb.2011.0690 21612540
45. Alaux C, Sinha S, Hasadsri L, Hunt GJ, Guzman-Novoa E, DeGrandi-Hoffman G, et al. Honey bee aggression supports a link between gene regulation and behavioral evolution. Proc Natl Acad Sci U S A. 2009;106(36):15400–5. doi: 10.1073/pnas.0907043106 19706434
46. Chandrasekaran S, Ament SA, Eddy JA, Rodriguez-Zas SL, Schatz BR, Price ND, et al. Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states. Proc Natl Acad Sci U S A. 2011;108(44):18020–5. doi: 10.1073/pnas.1114093108 21960440
47. Burmeister SS, Jarvis ED, Fernald RD. Rapid behavioral and genomic responses to social opportunity. PLoS Biol. 2005;3(11): e363. doi: 10.1371/journal.pbio.0030363 16216088
48. Okuno H. Regulation and function of immediate-early genes in the brain: beyond neuronal activity markers. Neuroscience research. 2011;69(3):175–86. doi: 10.1016/j.neures.2010.12.007 21163309
49. Ghosh A, Greenberg ME. Calcium signaling in neurons: molecular mechanisms and cellular consequences. Science. 1995;268(5208):239–47. doi: 10.1126/science.7716515 7716515
50. Iii RJK, Govindarajan A, Jung H-y, Kang H, Tonegawa S. Translational Control by MAPK Signaling in Long-Term Synaptic Plasticity and Memory. 2004; 116 : 467–79.
51. Robinson GE, Ben-Shahar Y. Social behavior and comparative genomics: new genes or new gene regulation? Genes Brain Behav. 2002;1(4):197–203. doi: 10.1034/j.1601-183x.2002.10401.x 12882364
52. Howard MW, Rizzuto DS, Caplan JB, Madsen JR, Lisman J, Aschenbrenner-Scheibe R, et al. Gamma oscillations correlate with working memory load in humans. Cereb Cortex. 2003;13(12):1369–74. doi: 10.1093/cercor/bhg084 14615302
53. Chou MY, Amo R, Kinoshita M, Cherng BW, Shimazaki H, Agetsuma M, et al. Social conflict resolution regulated by two dorsal habenular subregions in zebrafish. Science. 2016;352(6281):87–90. doi: 10.1126/science.aac9508 27034372
54. Enquist M, Leimar O, Ljungberg T, Mallner Y, Segerdahl N. A test of the sequential assessment game: fighting in the cichlid fish Nannacara anomala. Animal Behavior. 1990;40(1):1–14.
55. Gotceitas V, Godin JGJ. Foraging under the Risk of Predation in Juvenile Atlantic Salmon (Salmo salar L.): Effects of Social Status and Hunger. Behavioral Ecology and Sociobiology. 1991;29(4):255–61.
56. Pellegrino G, Fadiga L, Fogassi L. Understanding motor events: a physiological. Experimental brain …. 1992 : 176–80.
57. Nakayama S, Johnstone RA, Manica A. Temperament and hunger interact to determine the emergence of leaders in pairs of foraging fish. PLoS One. 2012;7(8):e43747. doi: 10.1371/journal.pone.0043747 22952753
58. Nakayama S, Stumpe MC, Manica A, Johnstone RA. Experience overrides personality differences in the tendency to follow but not in the tendency to lead. Proc Biol Sci. 2013;280(1769):20131724. doi: 10.1098/rspb.2013.1724 23986110
59. Reale D, Reader SM, Sol D, McDougall PT, Dingemanse NJ. Integrating animal temperament within ecology and evolution. Biological reviews of the Cambridge Philosophical Society. 2007;82(2):291–318. doi: 10.1111/j.1469-185X.2007.00010.x 17437562
60. Croft DP, James R, Ward AJ, Botham MS, Mawdsley D, Krause J. Assortative interactions and social networks in fish. Oecologia. 2005;143(2):211–9. doi: 10.1007/s00442-004-1796-8 15682346
61. Firth JA, Cole EF, Ioannou CC, Quinn JL, Aplin LM, Culina A, et al. Personality shapes pair bonding in a wild bird social system. Nat Ecol Evol. 2018;2(11):1696–9. doi: 10.1038/s41559-018-0670-8 30275466
62. Bekinschtein P, Cammarota M, Igaz LM, Bevilaqua LR, Izquierdo I, Medina JH. Persistence of long-term memory storage requires a late protein synthesis - and BDNF - dependent phase in the hippocampus. Neuron. 2007;53(2):261–77. doi: 10.1016/j.neuron.2006.11.025 17224407
63. Safe S, Jin UH, Morpurgo B, Abudayyeh A, Singh M, Tjalkens RB. Nuclear receptor 4A (NR4A) family—orphans no more. J Steroid Biochem Mol Biol. 2016;157 : 48–60. doi: 10.1016/j.jsbmb.2015.04.016 25917081
64. Malenka RC, Nicoll RA. Long-term potentiation—a decade of progress? Science. 1999;285(5435):1870–4. doi: 10.1126/science.285.5435.1870 10489359
65. Cui WW, Low SE, Hirata H, Saint-Amant L, Geisler R, Hume RI, et al. The zebrafish shocked gene encodes a glycine transporter and is essential for the function of early neural circuits in the CNS. J Neurosci. 2005;25(28):6610–20. doi: 10.1523/JNEUROSCI.5009-04.2005 16014722
66. Mills BN, Albert GP, Halterman MW. Expression profiling of the MAP kinase phosphatase family reveals a role for DUSP1 in the glioblastoma stem cell niche. Cancer Microenvironment. 2017;10(1–3):57–68. doi: 10.1007/s12307-017-0197-6 28822081
67. Dolmetsch RE, Pajvani U, Fife K, Spotts JM, & Greenberg ME (2001) Signaling to the nucleus by an L-type calcium channel-calmodulin complex through the MAP kinase pathway. Science 294(5541):333–339. doi: 10.1126/science.1063395 11598293
68. Wu J, Huang KP, Huang FL. Participation of NMDA-mediated phosphorylation and oxidation of neurogranin in the regulation of Ca2+ - and Ca2+/calmodulin-dependent neuronal signaling in the hippocampus. J Neurochem. 2003;86(6):1524–33. doi: 10.1046/j.1471-4159.2003.01963.x 12950461
69. Chi B, Wang Q, Wu G, Tan M, Wang L, Shi M, et al. Aly and THO are required for assembly of the human TREX complex and association of TREX components with the spliced mRNA. Nucleic acids research. 2013;41(2):1294–306. doi: 10.1093/nar/gks1188 23222130
70. Bukhari SA, Saul MC, Seward CH, Zhang H, Bensky M, James N, et al. Temporal dynamics of neurogenomic plasticity in response to social interactions in male threespined sticklebacks. PLoS genetics. 2017;13(7).
71. Saul MC, Seward CH, Troy JM, Zhang H, Sloofman LG, Lu X, et al. Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice. Genome research. 2017;27(6):959–72. doi: 10.1101/gr.214221.116 28356321
72. Saul M.C., Blatti C., Yang W., Bukhari S.A., Shpigler H.Y., Troy J.M., Seward C.H., Sloofman L., Chandrasekaran S., Bell A.M. and Stubbs L., 2019. Cross‐species systems analysis of evolutionary toolkits of neurogenomic response to social challenge. Genes, Brain and Behavior, 18(1), p.e12502.
73. Wong RY, Hofmann HA. Behavioural genomics: an organismic perspective. e LS. 2001 May 30.
74. Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC bioinformatics. 2008;9 : 559. doi: 10.1186/1471-2105-9-559 19114008
75. Dey KK, Hsiao CJ, Stephens M. Visualizing the structure of RNA-seq expression data using grade of membership models. PLoS Genet. 2017;13(3):e1006599. doi: 10.1371/journal.pgen.1006599 28333934
76. Whitfield CW, Cziko A-M, Robinson GE. Gene expression profiles in the brain predict behavior in individual honey bees. Science. 2003;302(5643):296–9. doi: 10.1126/science.1086807 14551438
77. Robinson GE, Fernald RD, Clayton DF. Genes and social behavior. science. 2008;322(5903):896–900. doi: 10.1126/science.1159277 18988841
78. Hofmann HA. Functional genomics of neural and behavioral plasticity. Journal of neurobiology. 2003 Jan;54(1):272–82. doi: 10.1002/neu.10172 12486709
79. Kempadoo KA, Mosharov EV, Choi SJ, Sulzer D, Kandel ER. Dopamine release from the locus coeruleus to the dorsal hippocampus promotes spatial learning and memory. Proc Natl Acad Sci U S A. 2016;113(51):14835–40. doi: 10.1073/pnas.1616515114 27930324
80. Lee JL, Hynds RE. Divergent cellular pathways of hippocampal memory consolidation and reconsolidation. Hippocampus. 2013;23(3):233–44. doi: 10.1002/hipo.22083 23197404
81. Teles MC, Cardoso SD, Oliveira RF. Social plasticity relies on different neuroplasticity mechanisms across the brain social decision-making network in zebrafish. Frontiers in behavioral neuroscience. 2016;10 : 16. doi: 10.3389/fnbeh.2016.00016 26909029
82. Wong RY, Cummings ME. Expression patterns of neuroligin-3 and tyrosine hydroxylase across the brain in mate choice contexts in female swordtails. Brain, behavior and evolution. 2014;83(3):231–43. doi: 10.1159/000360071 24854097
83. Salamone JD, Yohn SE, Lopez-Cruz L, San Miguel N, Correa M. Activational and effort-related aspects of motivation: neural mechanisms and implications for psychopathology. Brain. 2016;139(Pt 5):1325–47. doi: 10.1093/brain/aww050 27189581
84. O’Connell L.A. and Hofmann H.A., 2012. Evolution of a vertebrate social decision-making network. Science, 336(6085), pp.1154–1157. doi: 10.1126/science.1218889 22654056
85. Desjardins JK, Fernald RD. What do fish make of mirror images? Biology Letters. 2010;6(6):744–7. doi: 10.1098/rsbl.2010.0247 20462889
86. Yoshida K, Saito N, Iriki A, Isoda M. Representation of others' action by neurons in monkey medial frontal cortex. Curr Biol. 2011;21(3):249–53. doi: 10.1016/j.cub.2011.01.004 21256015
87. Breveglieri R, Vaccari FE, Bosco A, Gamberini M, Fattori P, Galletti C. Neurons Modulated by Action Execution and Observation in the Macaque Medial Parietal Cortex. Curr Biol. 2019;29(7):1218–25 e3. doi: 10.1016/j.cub.2019.02.027 30880012
88. Cattaneo L, Fabbri-Destro M, Boria S, Pieraccini C, Monti A, Cossu G, et al. Impairment of actions chains in autism and its possible role in intention understanding. Proc Natl Acad Sci U S A. 2007;104(45):17825–30. doi: 10.1073/pnas.0706273104 17965234
89. Decety J., Bartal I.B.A., Uzefovsky F. and Knafo-Noam A., 2016. Empathy as a driver of prosocial behaviour: highly conserved neurobehavioural mechanisms across species. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1686), p.20150077.
90. Bailey MR, Simpson EH, Balsam PD. Neural substrates underlying effort, time, and risk-based decision making in motivated behavior. Neurobiol Learn Mem. 2016;133 : 233–56. doi: 10.1016/j.nlm.2016.07.015 27427327
91. Parkinson C, Kleinbaum AM, Wheatley T. Similar neural responses predict friendship. Nature Communications. 2018.
92. Piazza EA, Hasenfratz L, Hasson U, Lew-Williams C. Infant and adult brains are coupled to the dynamics of natural communication. Psychological Science. 2020;31(1):6–17.
93. Adriaense JEC, Martin JS, Schiestl M, Lamm C, Bugnyar T. Negative emotional contagion and cognitive bias in common ravens (Corvus corax). 2019 : 1–6.
94. Tyssowski K.M., DeStefino N.R., Cho J.H., Dunn C.J., Poston R.G., Carty C.E., Jones R.D., Chang S.M., Romeo P., Wurzelmann M.K. and Ward J.M., 2018. Different neuronal activity patterns induce different gene expression programs. Neuron, 98(3), pp.530–546. doi: 10.1016/j.neuron.2018.04.001 29681534
95. Goto Y, Grace AA. Dopaminergic modulation of limbic and cortical drive of nucleus accumbens in goal-directed behavior. Nat Neurosci. 2005;8(6):805–12. doi: 10.1038/nn1471 15908948
96. Huber R, Smith K, Delago A, Isaksson K, Kravitz EA. Serotonin and aggressive motivation in crustaceans: altering the decision to retreat. Proc Natl Acad Sci U S A. 1997;94(11):5939–42. doi: 10.1073/pnas.94.11.5939 9159179
97. Saul MC, Majdak P, Perez S, Reilly M, Garland T Jr., Rhodes JS. High motivation for exercise is associated with altered chromatin regulators of monoamine receptor gene expression in the striatum of selectively bred mice. Genes Brain Behav. 2017;16(3):328–41. doi: 10.1111/gbb.12347 27749013
98. Bailey MR, Goldman O, Bello EP, Chohan MO, Jeong N, Winiger V, et al. An Interaction between Serotonin Receptor Signaling and Dopamine Enhances Goal-Directed Vigor and Persistence in Mice. J Neurosci. 2018;38(9):2149–62. doi: 10.1523/JNEUROSCI.2088-17.2018 29367407
99. Dowd M, Joy R. Estimating behavioral parameters in animal movement models using a state‐augmented particle filter. Ecology. 2011;92(3):568–75. doi: 10.1890/10-0611.1 21608465
100. Sengupta S, Bolin JM, Ruotti V, Nguyen BK, Thomson JA, Elwell AL, et al. Single read and paired end mRNA-Seq Illumina libraries from 10 nanograms total RNA. JoVE (Journal of Visualized Experiments). 2011(56):e3340.
101. Embnet M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnetjournal. 1994;17(1):10–2.
102. Trapnell C, Pachter L, Salzberg SL. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics. 2009;25(9):1105–11. doi: 10.1093/bioinformatics/btp120 19289445
103. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9(4):357–9. doi: 10.1038/nmeth.1923 22388286
104. Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30(7):923–30. doi: 10.1093/bioinformatics/btt656 24227677
105. Robinson MD, Oshlack A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 2010;11(3):R25. doi: 10.1186/gb-2010-11-3-r25 20196867
106. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40. doi: 10.1093/bioinformatics/btp616 19910308
107. Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature protocols. 2009;4(1):44. doi: 10.1038/nprot.2008.211 19131956
108. Supek F, Bošnjak M, Škunca N, Šmuc T. REVIGO summarizes and visualizes long lists of gene ontology terms. PloS one. 2011;6(7).
Článek Cancer-associated mutations in the iron-sulfur domain of FANCJ affect G-quadruplex metabolismČlánek GLI3 resides at the intersection of hedgehog and androgen action to promote male sex differentiationČlánek The role of ROC75 as a daytime component of the circadian oscillator in Chlamydomonas reinhardtiiČlánek yippee like 3 (ypel3) is a novel gene required for myelinating and perineurial glia development
Článek vyšel v časopisePLOS Genetics
Nejčtenější tento týden
2020 Číslo 6- Co dokáže ultrazvuková přilba pro neinvazivní stimulaci mozku
- S prof. Vladimírem Paličkou o racionální suplementaci kalcia a vitaminu D v každodenní praxi
- Nostiriazyn – spolehlivá 1. volba u nekomplikovaných infekcí močových cest
- 4× telegraficky z oblasti kardiovaskulární prevence – „jednohubky“ z klinického výzkumu 2026/3
- Nakupování jako nemoc. Jaké jsou její příčiny a možnosti terapie?
-
Všechny články tohoto čísla
- Nitric oxide mediates neuro-glial interaction that shapes Drosophila circadian behavior
- Duplication and divergence of the retrovirus restriction gene Fv1 in Mus caroli allows protection from multiple retroviruses
- JMJD6 participates in the maintenance of ribosomal DNA integrity in response to DNA damage
- Super-resolution imaging of RAD51 and DMC1 in DNA repair foci reveals dynamic distribution patterns in meiotic prophase
- Steroid hormones regulate genome-wide epigenetic programming and gene transcription in human endometrial cells with marked aberrancies in endometriosis
- Regulation of olfactory-based sex behaviors in the silkworm by genes in the sex-determination cascade
- Osteocalcin promotes bone mineralization but is not a hormone
- A conserved, N-terminal tyrosine signal directs Ras for inhibition by Rabex-5
- Integrins regulate epithelial cell shape by controlling the architecture and mechanical properties of basal actomyosin networks
- Age-of-onset information helps identify 76 genetic variants associated with allergic disease
- Cancer-associated mutations in the iron-sulfur domain of FANCJ affect G-quadruplex metabolism
- NRF2 loss recapitulates heritable impacts of paternal cigarette smoke exposure
- Pax6 organizes the anterior eye segment by guiding two distinct neural crest waves
- Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology
- Alpha- and beta-adrenergic octopamine receptors in muscle and heart are required for Drosophila exercise adaptations
- Identification of Clec4b as a novel regulator of bystander activation of auto-reactive T cells and autoimmune disease
- Exclusive breastfeeding can attenuate body-mass-index increase among genetically susceptible children: A longitudinal study from the ALSPAC cohort
- Drosophila models of pathogenic copy-number variant genes show global and non-neuronal defects during development
- BRM-SWI/SNF chromatin remodeling complex enables functional telomeres by promoting co-expression of TRF2 and TRF1
- MYO5B mutations in pheochromocytoma/paraganglioma promote cancer progression
- Genetic analysis of osteoblast activity identifies Zbtb40 as a regulator of osteoblast activity and bone mass
- In vivo modeling of metastatic human high-grade serous ovarian cancer in mice
- GLI3 resides at the intersection of hedgehog and androgen action to promote male sex differentiation
- The role of ROC75 as a daytime component of the circadian oscillator in Chlamydomonas reinhardtii
- An Africa-wide genomic evolution of insecticide resistance in the malaria vector Anopheles funestus involves selective sweeps, copy number variations, gene conversion and transposons
- BK channel density is regulated by endoplasmic reticulum associated degradation and influenced by the SKN-1A/NRF1 transcription factor
- Zebrafish rbm8a and magoh mutants reveal EJC developmental functions and new 3′UTR intron-containing NMD targets
- Behavioral and brain- transcriptomic synchronization between the two opponents of a fighting pair of the fish Betta splendens
- Adaptation of codon usage to tRNA I34 modification controls translation kinetics and proteome landscape
- Control of mRNA translation by dynamic ribosome modification
- ROS regulation of RAS and vulva development in Caenorhabditis elegans
- The kinase Isr1 negatively regulates hexosamine biosynthesis in S. cerevisiae
- yippee like 3 (ypel3) is a novel gene required for myelinating and perineurial glia development
- Overlapping functions and protein-protein interactions of LRR-extensins in Arabidopsis
- Elevated exopolysaccharide levels in Pseudomonas aeruginosa flagellar mutants have implications for biofilm growth and chronic infections
- The cohesin loader SCC2 contains a PHD finger that is required for meiosis in land plants
- Evolution of Salmonella enterica serotype Typhimurium driven by anthropogenic selection and niche adaptation
- Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits
- Adaptive evolution among cytoplasmic piRNA proteins leads to decreased genomic auto-immunity
- A Bayesian method to estimate variant-induced disease penetrance
- NatB regulates Rb mutant cell death and tumor growth by modulating EGFR/MAPK signaling through the N-end rule pathways
- Widespread conservation and lineage-specific diversification of genome-wide DNA methylation patterns across arthropods
- Fpr1, a primary target of rapamycin, functions as a transcription factor for ribosomal protein genes cooperatively with Hmo1 in Saccharomyces cerevisiae
- Phylogenetic background and habitat drive the genetic diversification of Escherichia coli
- VolcanoFinder: Genomic scans for adaptive introgression
- Elevated COUP-TFII expression in dopaminergic neurons accelerates the progression of Parkinson’s disease through mitochondrial dysfunction
- Thyroid hormone receptor beta mutations alter photoreceptor development and function in Danio rerio (zebrafish)
- Suppression of class I compensated cell enlargement by xs2 mutation is mediated by salicylic acid signaling
- Protein-protein interaction network controlling establishment and maintenance of switchable cell polarity
- Proteomic profiling of the monothiol glutaredoxin Grx3 reveals its global role in the regulation of iron dependent processes
- Regulation of epithelial integrity and organ growth by Tctp and Coracle in Drosophila
- The brachyceran de novo gene PIP82, a phosphorylation target of aPKC, is essential for proper formation and maintenance of the rhabdomeric photoreceptor apical domain in Drosophila
- Reciprocal regulation between nicotinamide adenine dinucleotide metabolism and abscisic acid and stress response pathways in Arabidopsis
- AXR1 affects DNA methylation independently of its role in regulating meiotic crossover localization
- c-di-GMP inhibits LonA-dependent proteolysis of TfoY in Vibrio cholerae
- All three mammalian MutL complexes are required for repeat expansion in a mouse cell model of the Fragile X-related disorders
- Active transcription and Orc1 drive chromatin association of the AAA+ ATPase Pch2 during meiotic G2/prophase
- The facts of the matter: What is a hormone?
- Lack of reproducibility in osteocalcin-deficient mice
- Independent validation of experimental results requires timely and unrestricted access to animal models and reagents
- PLOS Genetics
- Archiv čísel
- Aktuální číslo
- Informace o časopisu
Nejčtenější v tomto čísle- Osteocalcin promotes bone mineralization but is not a hormone
- Cancer-associated mutations in the iron-sulfur domain of FANCJ affect G-quadruplex metabolism
- Steroid hormones regulate genome-wide epigenetic programming and gene transcription in human endometrial cells with marked aberrancies in endometriosis
- Adaptation of codon usage to tRNA I34 modification controls translation kinetics and proteome landscape
Kurzy
Zvyšte si kvalifikaci online z pohodlí domova
Autoři: prof. MUDr. Vladimír Palička, CSc., Dr.h.c., doc. MUDr. Václav Vyskočil, Ph.D., MUDr. Petr Kasalický, CSc., MUDr. Jan Rosa, Ing. Pavel Havlík, Ing. Jan Adam, Hana Hejnová, DiS., Jana Křenková
Autoři: MUDr. Irena Krčmová, CSc.
Autoři: MDDr. Eleonóra Ivančová, PhD., MHA
Autoři: prof. MUDr. Eva Kubala Havrdová, DrSc.
Všechny kurzyPřihlášení#ADS_BOTTOM_SCRIPTS#Zapomenuté hesloZadejte e-mailovou adresu, se kterou jste vytvářel(a) účet, budou Vám na ni zaslány informace k nastavení nového hesla.
- Vzdělávání