Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish

Abstract Terminologies of ovary development, by somewhat subjective describing and naming main changes of oocytes, have been criticized for confusing and inconsistency of terms and classifications, and the incurred consequences impede communication among researchers. In the present work, we develope...

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Autores principales:	Zhi-Gang Shen, Hong Yao, Liang Guo, Xiao-Xia Li, Han-Ping Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c4ffd6ebd0b94323b9d7b2284d253338
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spelling	oai:doaj.org-article:c4ffd6ebd0b94323b9d7b2284d2533382021-12-02T15:06:09ZRibosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish10.1038/s41598-017-04327-y2045-2322https://doaj.org/article/c4ffd6ebd0b94323b9d7b2284d2533382017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04327-yhttps://doaj.org/toc/2045-2322Abstract Terminologies of ovary development, by somewhat subjective describing and naming main changes of oocytes, have been criticized for confusing and inconsistency of terms and classifications, and the incurred consequences impede communication among researchers. In the present work, we developed regression between ovary development and three ribosome RNA (rRNA) indexes, namely 5S rRNA percent, 18S rRNA percent, and 5S–18S rRNA ratio, using close relationship between volume percent of primary growth stage oocytes or gonadosomatic index and rRNA content, demonstrating species-specific quantification of ovary development can be established in species with either synchronous and asynchronous oogenesis. This approach may be extended to any species with primary growth oocytes, e.g. anurans and reptiles, to predict maturity stages in females. We further confirmed that 5S rRNA percent and 5S/18S rRNA ratio can serve as markers to distinguish sexes unambiguously. A micro-invasive sampling method may be invented for non-lethal prediction of ovary development and sex because only a small amount of ovary sample (<50 mg) is needed for the approach established in the current work. Researchers who work with ovary RNA-seq in these taxa should realize that insufficient depletion of rRNA will probably lead to incorrect quantification of gene expression and inaccurate conclusions.Zhi-Gang ShenHong YaoLiang GuoXiao-Xia LiHan-Ping WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhi-Gang Shen Hong Yao Liang Guo Xiao-Xia Li Han-Ping Wang Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish
description	Abstract Terminologies of ovary development, by somewhat subjective describing and naming main changes of oocytes, have been criticized for confusing and inconsistency of terms and classifications, and the incurred consequences impede communication among researchers. In the present work, we developed regression between ovary development and three ribosome RNA (rRNA) indexes, namely 5S rRNA percent, 18S rRNA percent, and 5S–18S rRNA ratio, using close relationship between volume percent of primary growth stage oocytes or gonadosomatic index and rRNA content, demonstrating species-specific quantification of ovary development can be established in species with either synchronous and asynchronous oogenesis. This approach may be extended to any species with primary growth oocytes, e.g. anurans and reptiles, to predict maturity stages in females. We further confirmed that 5S rRNA percent and 5S/18S rRNA ratio can serve as markers to distinguish sexes unambiguously. A micro-invasive sampling method may be invented for non-lethal prediction of ovary development and sex because only a small amount of ovary sample (<50 mg) is needed for the approach established in the current work. Researchers who work with ovary RNA-seq in these taxa should realize that insufficient depletion of rRNA will probably lead to incorrect quantification of gene expression and inaccurate conclusions.
format	article
author	Zhi-Gang Shen Hong Yao Liang Guo Xiao-Xia Li Han-Ping Wang
author_facet	Zhi-Gang Shen Hong Yao Liang Guo Xiao-Xia Li Han-Ping Wang
author_sort	Zhi-Gang Shen
title	Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish
title_short	Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish
title_full	Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish
title_fullStr	Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish
title_full_unstemmed	Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish
title_sort	ribosome rna profiling to quantify ovarian development and identify sex in fish
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/c4ffd6ebd0b94323b9d7b2284d253338
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_version_	1718388608757399552

Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish

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