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Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies
A key procedure for ensuring statistical confidence in differential gene expression analyses is to use biological replicates to compare distinct groups. Biological replicates allow the estimation of the residual variation in the gene expression levels among samples of a given experimental condition....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075064/ https://www.ncbi.nlm.nih.gov/pubmed/37017730 http://dx.doi.org/10.1590/1678-4685-GMB-2022-0286 |
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author | Mello, Victor Hugo Garcia, Ana Letycia Basso Correr, Fernando Henrique Hosaka, Guilherme Kenichi Carneiro, Monalisa Sampaio Margarido, Gabriel Rodrigues Alves |
author_facet | Mello, Victor Hugo Garcia, Ana Letycia Basso Correr, Fernando Henrique Hosaka, Guilherme Kenichi Carneiro, Monalisa Sampaio Margarido, Gabriel Rodrigues Alves |
author_sort | Mello, Victor Hugo |
collection | PubMed |
description | A key procedure for ensuring statistical confidence in differential gene expression analyses is to use biological replicates to compare distinct groups. Biological replicates allow the estimation of the residual variation in the gene expression levels among samples of a given experimental condition. In sugarcane, it is possible to obtain an estimate of residual variability at two levels: among samples of distinct genotypes of the same experimental treatment, or clonal replicates of the same genotype. The sequencing costs are often a limitation to leveraging both these levels in the same study, stressing the relevance of efforts to determine an appropriate experimental design. We aim to investigate this question by comparing the transcriptional profiles of young sugarcane culms with different sucrose levels using both sampling strategies. Our results show that clonal replicates provided enough statistical power to identify nearly three times more deferentially expressed genes than the more diverse strategy. However, it resulted in potentially less meaningful biological results, because many of the significant genes were likely related to the particular genotype of choice, rather than representing a common expression profile for the compared groups. This study supports the development of sound experimental designs in new studies regarding differential expression for sugarcane. |
format | Online Article Text |
id | pubmed-10075064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-100750642023-04-06 Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies Mello, Victor Hugo Garcia, Ana Letycia Basso Correr, Fernando Henrique Hosaka, Guilherme Kenichi Carneiro, Monalisa Sampaio Margarido, Gabriel Rodrigues Alves Genet Mol Biol Plant Genetics A key procedure for ensuring statistical confidence in differential gene expression analyses is to use biological replicates to compare distinct groups. Biological replicates allow the estimation of the residual variation in the gene expression levels among samples of a given experimental condition. In sugarcane, it is possible to obtain an estimate of residual variability at two levels: among samples of distinct genotypes of the same experimental treatment, or clonal replicates of the same genotype. The sequencing costs are often a limitation to leveraging both these levels in the same study, stressing the relevance of efforts to determine an appropriate experimental design. We aim to investigate this question by comparing the transcriptional profiles of young sugarcane culms with different sucrose levels using both sampling strategies. Our results show that clonal replicates provided enough statistical power to identify nearly three times more deferentially expressed genes than the more diverse strategy. However, it resulted in potentially less meaningful biological results, because many of the significant genes were likely related to the particular genotype of choice, rather than representing a common expression profile for the compared groups. This study supports the development of sound experimental designs in new studies regarding differential expression for sugarcane. Sociedade Brasileira de Genética 2023-04-03 /pmc/articles/PMC10075064/ /pubmed/37017730 http://dx.doi.org/10.1590/1678-4685-GMB-2022-0286 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Plant Genetics Mello, Victor Hugo Garcia, Ana Letycia Basso Correr, Fernando Henrique Hosaka, Guilherme Kenichi Carneiro, Monalisa Sampaio Margarido, Gabriel Rodrigues Alves Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies |
title | Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies |
title_full | Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies |
title_fullStr | Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies |
title_full_unstemmed | Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies |
title_short | Sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of RNA-Seq studies |
title_sort | sampling strategies for sugarcane using either clonal replicates or diverse genotypes can bias the conclusions of rna-seq studies |
topic | Plant Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075064/ https://www.ncbi.nlm.nih.gov/pubmed/37017730 http://dx.doi.org/10.1590/1678-4685-GMB-2022-0286 |
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