scholarly journals Novel brain gene-expression patterns are associated with a novel predaceous behaviour in tadpoles

2021 ◽  
Vol 288 (1947) ◽  
Author(s):  
Cris C. Ledón-Rettig

Novel behaviours can spur evolutionary change and sometimes even precede morphological innovation, but the evolutionary and developmental contexts for their origins can be elusive. One proposed mechanism to generate behavioural innovation is a shift in the developmental timing of gene-expression patterns underlying an ancestral behaviour, or molecular heterochrony. Alternatively, novel suites of gene expression, which could provide new contexts for signalling pathways with conserved behavioural functions, could promote novel behavioural variation. To determine the relative contributions of these alternatives to behavioural innovation, I used a species of spadefoot toad, Spea bombifrons . Based on environmental cues, Spea larvae develop as either of two morphs: ‘omnivores' that, like their ancestors, feed on detritus, or ‘carnivores' that are predaceous and cannibalistic. Because all anuran larvae undergo a natural transition to obligate carnivory during metamorphosis, it has been proposed that the novel, predaceous behaviour in Spea larvae represents the accelerated activation of gene networks influencing post-metamorphic behaviours. Based on comparisons of brain transcriptional profiles, my results reject widespread heterochrony as a mechanism promoting the expression of predaceous larval behaviour. They instead suggest that the evolution of this trait relied on novel patterns of gene expression that include components of pathways with conserved behavioural functions.

2014 ◽  
Vol 35 (9) ◽  
pp. 1961-1972 ◽  
Author(s):  
Nicole C. Berchtold ◽  
Marwan N. Sabbagh ◽  
Thomas G. Beach ◽  
Ronald C. Kim ◽  
David H. Cribbs ◽  
...  

2005 ◽  
Vol 102 (29) ◽  
pp. 10357-10362 ◽  
Author(s):  
M. A. Zapala ◽  
I. Hovatta ◽  
J. A. Ellison ◽  
L. Wodicka ◽  
J. A. Del Rio ◽  
...  

2021 ◽  
Author(s):  
Yuming Peng ◽  
Wanzhu Zuo ◽  
Yue Qin ◽  
Shisong Ma

Protein kinases regulate virtually all cellular processes, but it remains challenging to determine the functions of all protein kinases, collectively called the kinome, in any species. We developed an approach called EXPLICIT-Kinase to predict the functions of the Arabidopsis kinome. Because the activities of many kinases can be regulated transcriptionally, their gene expression patterns provide clues to their functions. A universal gene expression predictor for Arabidopsis was constructed to predict the expression of 30,172 non-kinase genes based on the expression of 994 protein kinase genes. The model reconstituted highly accurate transcriptomes for diverse Arabidopsis samples. It identified the significant kinases as predictor kinases for predicting the expression of Arabidopsis genes and pathways. Strikingly, these predictor kinases were often known regulators of the related pathways, as exemplified by those involved in cytokinesis, tissue development, and stress responses. Comparative analyses have revealed that portions of these predictor kinases, including the novel ones, are shared and conserved between Arabidopsis and maize. The conservation between species provide additional evidence to support the novel predictor kinases as bona fide regulators of the pathways involved. Thus our approach enables the systematic dissection of the functions of the Arabidopsis kinome.


2018 ◽  
Vol 136 (5) ◽  
pp. 709-727 ◽  
Author(s):  
Mariet Allen ◽  
Xue Wang ◽  
Daniel J. Serie ◽  
Samantha L. Strickland ◽  
Jeremy D. Burgess ◽  
...  

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10048-10048
Author(s):  
Dale Han ◽  
Gregory C Bloom ◽  
Marilyn M Bui ◽  
Steven Enkemann ◽  
Hideko Yamauchi ◽  
...  

10048 Background: Liposarcoma (LPS) dedifferentiation signifies conversion to a clinically aggressive phenotype, but the biologic processes required for this change have not been determined. We describe differential gene expression patterns between well-differentiated (WD) and dedifferentiated (DD) tumors to determine pathways involved in LPS dedifferentiation. Methods: From 1999 to 2006, 121 fatty tumors were resected at a single institution. Twenty tumors, consisting of atypical lipomatous tumors (ALT), WD LPS or DD LPS, were randomly selected and clinicopathologic characteristics were retrospectively reviewed. Gene expression profiling was performed on extracted RNA using the Affymetrix GeneChip platform. Differentially expressed genes were obtained and gene network analysis was done using GeneGO by MetaCore. Results: Median age was 59 years and 70% of cases were male. WD tumors, consisting of 3 ALT and 6 WD LPS, were compared with 11 DD LPS. After a median follow-up of 64 months, 7 patients had died of whom 6 had DD LPS. DD histology was associated with lower overall survival (p<0.05). Significance Analysis of Microarrays for WD tumors vs. DD LPS using a 0% false discovery rate showed differential expression of 188 genes. Network analysis of genes from WD tumors vs. DD LPS showed significant (p<0.001) differential regulation of glucose-activated transcription factor ChREBP (carbohydrate response element binding protein), a key element involved in lipogenesis, gluconeogenesis and glycolysis. There was also significant differential regulation of insulin signaling, PI3K-dependent and PKA signal transduction pathways and of amino acid, fatty acid and glucose metabolism pathways (p<0.05). These pathways, based on Gene Ontology cellular processes, mapped to gene networks primarily involved in lipid metabolism (p<0.05). Conclusions: Differential expression of genes involved in lipid metabolism networks is seen in DD LPS and changes in lipid metabolism may be associated with dedifferentiation. These differential gene expression patterns may help identify fatty tumors potentially at risk for progressing to a malignant or DD state and provide prognostic factors and therapeutic targets for patients with LPS.


Pneumologie ◽  
2018 ◽  
Vol 72 (S 01) ◽  
pp. S8-S9
Author(s):  
M Bauer ◽  
H Kirsten ◽  
E Grunow ◽  
P Ahnert ◽  
M Kiehntopf ◽  
...  

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