Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data

Abstract Background Real-time quantitative PCR (RT-qPCR) is a crucial and widely used method for gene expression analysis. Selecting suitable reference genes is extremely important for the accuracy of RT-qPCR results. Commonly used reference genes are not always stable in various organisms or under...

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Main Authors: Jiao Chen, Yunjian Wang, Zhi Yang, Danwen Liu, Yao Jin, Xixi Li, Yuhang Deng, Boya Wang, Zhifeng Zhang, Yubin Ma
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12864-023-09358-6
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author Jiao Chen
Yunjian Wang
Zhi Yang
Danwen Liu
Yao Jin
Xixi Li
Yuhang Deng
Boya Wang
Zhifeng Zhang
Yubin Ma
author_facet Jiao Chen
Yunjian Wang
Zhi Yang
Danwen Liu
Yao Jin
Xixi Li
Yuhang Deng
Boya Wang
Zhifeng Zhang
Yubin Ma
author_sort Jiao Chen
collection DOAJ
description Abstract Background Real-time quantitative PCR (RT-qPCR) is a crucial and widely used method for gene expression analysis. Selecting suitable reference genes is extremely important for the accuracy of RT-qPCR results. Commonly used reference genes are not always stable in various organisms or under different environmental conditions. With the increasing application of high-throughput sequencing, transcriptome analysis has become an effective method for identifying novel stable reference genes. Results In this study, we identified candidate reference genes based on transcriptome data covering embryos and larvae of early development, normal adult tissues, and the hindgut under sulfide stress using the coefficient of variation (CV) method in the echiuran Urechis unicinctus, resulting in 6834 (15.82%), 7110 (16.85%) and 13880 (35.87%) candidate reference genes, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that the candidate reference genes were significantly enriched in cellular metabolic process, protein metabolic process and ribosome in early development and normal adult tissues as well as in cellular localization and endocytosis in the hindgut under sulfide stress. Subsequently, ten genes including five new candidate reference genes and five commonly used reference genes, were validated by RT-qPCR. The expression stability of the ten genes was analyzed using four methods (geNorm, NormFinder, BestKeeper, and ∆Ct). The comprehensive results indicated that the new candidate reference genes were more stable than most commonly used reference genes. The commonly used ACTB was the most unstable gene. The candidate reference genes STX12, EHMT1, and LYAG were the most stable genes in early development, normal adult tissues, and hindgut under sulfide stress, respectively. The log2(TPM) of the transcriptome data was significantly negatively correlated with the Ct values of RT-qPCR (Ct =  − 0.5405 log2(TPM) + 34.51), which made it possible to estimate the Ct value before RT-qPCR using transcriptome data. Conclusion Our study is the first to select reference genes for RT-qPCR from transcriptome data in Echiura and provides important information for future gene expression studies in U. unicinctus.
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spelling doaj.art-40525592d67341b6b208a5a784532aae2023-05-14T11:09:27ZengBMCBMC Genomics1471-21642023-05-0124111310.1186/s12864-023-09358-6Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome dataJiao Chen0Yunjian Wang1Zhi Yang2Danwen Liu3Yao Jin4Xixi Li5Yuhang Deng6Boya Wang7Zhifeng Zhang8Yubin Ma9Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaKey Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of ChinaAbstract Background Real-time quantitative PCR (RT-qPCR) is a crucial and widely used method for gene expression analysis. Selecting suitable reference genes is extremely important for the accuracy of RT-qPCR results. Commonly used reference genes are not always stable in various organisms or under different environmental conditions. With the increasing application of high-throughput sequencing, transcriptome analysis has become an effective method for identifying novel stable reference genes. Results In this study, we identified candidate reference genes based on transcriptome data covering embryos and larvae of early development, normal adult tissues, and the hindgut under sulfide stress using the coefficient of variation (CV) method in the echiuran Urechis unicinctus, resulting in 6834 (15.82%), 7110 (16.85%) and 13880 (35.87%) candidate reference genes, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that the candidate reference genes were significantly enriched in cellular metabolic process, protein metabolic process and ribosome in early development and normal adult tissues as well as in cellular localization and endocytosis in the hindgut under sulfide stress. Subsequently, ten genes including five new candidate reference genes and five commonly used reference genes, were validated by RT-qPCR. The expression stability of the ten genes was analyzed using four methods (geNorm, NormFinder, BestKeeper, and ∆Ct). The comprehensive results indicated that the new candidate reference genes were more stable than most commonly used reference genes. The commonly used ACTB was the most unstable gene. The candidate reference genes STX12, EHMT1, and LYAG were the most stable genes in early development, normal adult tissues, and hindgut under sulfide stress, respectively. The log2(TPM) of the transcriptome data was significantly negatively correlated with the Ct values of RT-qPCR (Ct =  − 0.5405 log2(TPM) + 34.51), which made it possible to estimate the Ct value before RT-qPCR using transcriptome data. Conclusion Our study is the first to select reference genes for RT-qPCR from transcriptome data in Echiura and provides important information for future gene expression studies in U. unicinctus.https://doi.org/10.1186/s12864-023-09358-6Reference genesRT-qPCRTranscriptome dataUrechis unicinctus
spellingShingle Jiao Chen
Yunjian Wang
Zhi Yang
Danwen Liu
Yao Jin
Xixi Li
Yuhang Deng
Boya Wang
Zhifeng Zhang
Yubin Ma
Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data
BMC Genomics
Reference genes
RT-qPCR
Transcriptome data
Urechis unicinctus
title Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data
title_full Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data
title_fullStr Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data
title_full_unstemmed Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data
title_short Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data
title_sort identification and validation of the reference genes in the echiuran worm urechis unicinctus based on transcriptome data
topic Reference genes
RT-qPCR
Transcriptome data
Urechis unicinctus
url https://doi.org/10.1186/s12864-023-09358-6
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