2019
DOI: 10.3389/fphys.2018.01920
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Transcriptomic Analysis Reveals Insights on Male Infertility in Octopus maya Under Chronic Thermal Stress

Abstract: Octopus maya endemic to the Yucatan Peninsula, Mexico, is an ectotherm organism particularly temperature-sensitive. Studies in O. maya females show that temperatures above 27°C reduce the number of eggs per spawn, fertilization rate and the viability of embryos. High temperatures also reduce the male reproductive performance and success. However, the molecular mechanisms are still unknown. The transcriptomic profiles of testes from thermally stressed (30°C) and not stressed (24°C) adult male octopuses were com… Show more

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Cited by 12 publications
(12 citation statements)
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“…RNA extraction, quantitation, and quality check were performed using the protocol, reagents, and instruments described in López-Galindo et al (2019b) and Juárez et al (2019) , starting with 20–30 mg of every whole gland sample. For each experimental condition (MAT24, FER24, SEN24, and FER-TD), a pooled sample was prepared which consisted of 100 ng of RNA from four different individuals ( n = 4).…”
Section: Methodsmentioning
confidence: 99%
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“…RNA extraction, quantitation, and quality check were performed using the protocol, reagents, and instruments described in López-Galindo et al (2019b) and Juárez et al (2019) , starting with 20–30 mg of every whole gland sample. For each experimental condition (MAT24, FER24, SEN24, and FER-TD), a pooled sample was prepared which consisted of 100 ng of RNA from four different individuals ( n = 4).…”
Section: Methodsmentioning
confidence: 99%
“…DEGs included in the best-represented GO and KEGG categories and those associated with the regulation of OvG activity ( Di Cosmo, Di Cristo & Paolucci, 2001 ; Iwakoshi-Ukena et al, 2004 ; Di Cristo & Di Cosmo, 2007 ; Minakata et al, 2009 ) were selected for cluster analysis and plotted in heatmaps using R software ( R Development Core Team, 2010 ). The analyses were performed following the scripts and parameters set and statistical significance implemented by Juárez et al (2019) and López-Galindo et al (2019b) .…”
Section: Methodsmentioning
confidence: 99%
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