2021
DOI: 10.17957/ijab/15.1700
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Selection of Reference Genes for qRT-PCR in Bletilla striata under Heat Stress

Abstract: Bletilla striata (Thunb.) Reihb.f., a traditional Chinese herbal medicine, has attracted increasing attention because of its wide range of applicability to the medical field and chemical industry. B. striata has been identified to be particularly sensitive to high temperatures. Thus, the study of temperature stress on gene transcription is of interest in the field. Use of reliable reference genes is essential for qRT-PCR analysis of genes. However, little information regarding suitable reference genes for the … Show more

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Cited by 1 publication
(2 citation statements)
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“…Red-light enriched spectrum simulating transmittance was also reported to increase stem length of A. elata seedlings (Wei et al, 2020c), although this effect sometimes fail to occur or even generated negative contribution to diameter growth (Wei et al, 2020a). However, more evidence supported our findings by studies on undergrowth plants with better growth and biomass performances in red-enriched spectra (Li et al, 2018;Wang et al, 2020). By contrast, the red-light enriched spectrum depressed N uptake and assimilation by leaves, and it further decreased concentration of TSs in leaves.…”
Section: Discussion Discussion Discussionsupporting
confidence: 82%
See 1 more Smart Citation
“…Red-light enriched spectrum simulating transmittance was also reported to increase stem length of A. elata seedlings (Wei et al, 2020c), although this effect sometimes fail to occur or even generated negative contribution to diameter growth (Wei et al, 2020a). However, more evidence supported our findings by studies on undergrowth plants with better growth and biomass performances in red-enriched spectra (Li et al, 2018;Wang et al, 2020). By contrast, the red-light enriched spectrum depressed N uptake and assimilation by leaves, and it further decreased concentration of TSs in leaves.…”
Section: Discussion Discussion Discussionsupporting
confidence: 82%
“…When significant effects were indicated, results were compared and arranged by means in according to Tukey test (α=0.05). Principle component analysis (PCA) was employed to test data variation for variables and trends of inner relationships among variables (Liu et al, 2021;Wang et al, 2020).…”
Section: Discussionmentioning
confidence: 99%