Gene expression analysis is a broadly used and powerful technique in many fields of biological research. The expression pattern of specific marker genes provides an insight into complex regulatory networks and leads to the identification of relevant genes associated to specific biological processes, such as arbuscular mycorrhizal symbiosis. Among the existing gene expression analysis toolbox, reverse transcriptase coupled to quantitative polymerase chain reaction (qRT-PCR) is considered the gold standard for accurate, sensitive, fast, and relatively inexpensive measurement. However, for a correct identification of differentially expressed genes, appropriate controls are required in order to minimize nonspecific variations associated with intrinsic technical variability. In this chapter, we recommend a number of tips to use qRT-PCR analysis in mycorrhizal roots and fungal mycelium.

Arbuscular Mycorrhizal Fungal Gene Expression Analysis by Real-Time PCR

Silvestri A.
Co-first
;
2020-01-01

Abstract

Gene expression analysis is a broadly used and powerful technique in many fields of biological research. The expression pattern of specific marker genes provides an insight into complex regulatory networks and leads to the identification of relevant genes associated to specific biological processes, such as arbuscular mycorrhizal symbiosis. Among the existing gene expression analysis toolbox, reverse transcriptase coupled to quantitative polymerase chain reaction (qRT-PCR) is considered the gold standard for accurate, sensitive, fast, and relatively inexpensive measurement. However, for a correct identification of differentially expressed genes, appropriate controls are required in order to minimize nonspecific variations associated with intrinsic technical variability. In this chapter, we recommend a number of tips to use qRT-PCR analysis in mycorrhizal roots and fungal mycelium.
2020
Arbuscular Mycorrhizal Fungi
Humana Press Inc.
2146
157
170
9781071606025
9781071606032
Arbuscular mycorrhizal fungi; Colonization levels; Gene expression; Molecular markers; Real-time qRT-PCR
Silvestri A.; Perez-Tienda J.; Lopez-Raez J.A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1801561
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