On the causes of density banding in skeletons of corals of the genus Montastraea

2008 ◽  
Vol 365 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Elizabeth Dávalos-Dehullu ◽  
Héctor Hernández-Arana ◽  
Juan P. Carricart-Ganivet
Keyword(s):  
Genetics ◽  
1986 ◽  
Vol 114 (3) ◽  
pp. 753-767
Author(s):  
Robert A Sclafani ◽  
Walton L Fangman

ABSTRACT Plasmid pJM81 contains a Herpes simplex virus thymidine kinase (TK) gene that is expressed in yeast. Cells containing the plasmid utilize thymidine (TdR) and the analogue 5-bromodeoxyuridine (BUdR) for specific incorporation into DNA. TdR auxotrophs, harboring plasmid pJM81 and a mutation in the yeast gene TMP1 require high concentrations of TdR (300 μg/ml) to support normal growth rates and the wild-type mitochondrial genome (ρ+) cannot be maintained. We have identified a yeast gene, TUT1, in which recessive mutations allow efficient utilization of lower concentrations of TdR. Strains containing the mutations tmp1 and tut1, as well as plasmid pJM81, form colonies at 2 μg/ml TdR, grow at nearly normal rates and maintain the ρ+ genome at 50 μg/ml TdR. These strains can be used to radiolabel DNA specifically and to synchronize DNA replication by TdR starvation. In addition, the substitution of BUdR for TdR allows the selective killing of DNA-synthesizing cells by 310-nm irradiation and allows the separation of replicated and unreplicated forms of DNA by CsCl equilibrium density banding. We also describe a unique, generally applicable system for cloning mutant alleles that exploits the fact that Tk+ yeast cells are sensitive to 5-fluorodeoxyuridine (FUdR) and that gene conversions can occur between a yeast chromosome and a TK-containing plasmid.


2022 ◽  
Vol 4 (2) ◽  
Author(s):  
Ainsley Rutterford ◽  
Leonardo Bertini ◽  
Erica J. Hendy ◽  
Kenneth G. Johnson ◽  
Rebecca Summerfield ◽  
...  

AbstractX-ray micro–computed tomography (µCT) is increasingly used to record the skeletal growth banding of corals. However, the wealth of data generated is time consuming to analyse for growth rates and colony age. Here we test an artificial intelligence (AI) approach to assist the expert identification of annual density boundaries in small colonies of massive Porites spanning decades. A convolutional neural network (CNN) was trained with µCT images combined with manually labelled ground truths to learn banding-related features. The CNN successfully predicted the position of density boundaries in independent images not used in training. Linear extension rates derived from CNN-based outputs and the traditional method were consistent. In the future, well-resolved 2D density boundaries from AI can be used to reconstruct density surfaces and enable studies focused on variations in rugosity and growth gradients across colony 3D space. We recommend the development of a community platform to share annotated images for AI.


Coral Reefs ◽  
2005 ◽  
Vol 24 (3) ◽  
pp. 404-409 ◽  
Author(s):  
A. Peirano ◽  
M. Abbate ◽  
G. Cerrati ◽  
V. Difesca ◽  
C. Peroni ◽  
...  

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