Selection and validation of reference genes for normalizing qRT‒PCR gene expression studies in Colletotrichum gloeosporioides and interaction with the guava plants
Quantitative real-time PCR is used to quantify gene expression, even to detect low-level transcripts. It detects and quantifies the inoculum level of fungal pathogens in infected hosts. However, reliable expression profiling data require accurate transcript normalization against a stable reference g...
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Published in: | Frontiers in plant science Vol. 14; p. 1235848 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Switzerland
Frontiers Media S.A
23-11-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | Quantitative real-time PCR is used to quantify gene expression, even to detect low-level transcripts. It detects and quantifies the inoculum level of fungal pathogens in infected hosts. However, reliable expression profiling data require accurate transcript normalization against a stable reference gene. Hence, using stably expressed reference genes under variable conditions is paramount in gene expression analysis. In the current study, reference genes were selected and validated in
, a guava canker and dieback pathogen. The reference gene selection and validation in
were evaluated for germinated conidia and mycelium (
) and in infected guava (
) (interaction with host plant). The
gene was determined as a highly stable reference gene, followed by the
in
for germinating conidia and mycelium. However, the
gene was determined to be a highly stable reference gene, followed by the
for expression analysis during its interaction with the plant. Expression profiling revealed stable and constant relative expression patterns of selected reference genes for both PR genes by determining their relative transcript level. This study is the first to describe reference gene selection and validation to quantify target gene expression in
. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Rashda Naheed, Government of Punjab, Pakistan; Jun Yang, Chuxiong Normal University, China; Ani Widiastuti, Gadjah Mada University, Indonesia Edited by: Heba I. Mohamed, Ain Shams University, Egypt |
ISSN: | 1664-462X 1664-462X |
DOI: | 10.3389/fpls.2023.1235848 |