Harnessing Tolerance to Low Phosphorus in Rice: Recent Progress and Future Perspectives

Tyagi, Wricha; Nongbri, Erneica N.; Rai, Mayank

doi:10.1002/9781119633174.ch11

Cited by 1 publication

(1 citation statement)

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“…However, in the absence of Pi, the binding affinity of SPX1 to PHR1 is reduced, allowing the PHR1-P1BS interaction and subsequent induction of transcription to take place (Liu N. et al, 2018;. For example, in rice (Oryza sativa), OsSPX1 and OsSPX2 interact with OsPHR2 and repress the activity of OsPHR2 in a similar way to that in Arabidopsis (Wang et al, 2014;Tyagi et al, 2021). The phosphorus-responsive transcription factors OsPHR1/2/3 are located in the core of the mycorrhizal symbiotic transcription regulatory network in plants under Pi starvation (Shi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Integration of small RNA, degradome, and transcriptome sequencing data illustrates the mechanism of low phosphorus adaptation in Camellia oleifera

Chen

Han

et al. 2022

Front. Plant Sci.

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Phosphorus (P) is an indispensable macronutrient for plant growth and development, and it is involved in various cellular biological activities in plants. Camellia oleifera is a unique high-quality woody oil plant that grows in the hills and mountains of southern China. However, the available P content is deficient in southern woodland soil. Until now, few studies focused on the regulatory functions of microRNAs (miRNAs) and their target genes under low inorganic phosphate (Pi) stress. In this study, we integrated small RNA, degradome, and transcriptome sequencing data to investigate the mechanism of low Pi adaptation in C. oleifera. We identified 40,689 unigenes and 386 miRNAs by the deep sequencing technology and divided the miRNAs into four different groups. We found 32 miRNAs which were differentially expressed under low Pi treatment. A total of 414 target genes of 108 miRNAs were verified by degradome sequencing. Gene ontology (GO) functional analysis of target genes found that they were related to the signal response to the stimulus and transporter activity, indicating that they may respond to low Pi stress. The integrated analysis revealed that 31 miRNA–target pairs had negatively correlated expression patterns. A co-expression regulatory network was established based on the profiles of differentially expressed genes. In total, three hub genes (ARF22, WRKY53, and SCL6), which were the targets of differentially expressed miRNAs, were discovered. Our results showed that integrated analyses of the small RNA, degradome, and transcriptome sequencing data provided a valuable basis for investigating low Pi in C. oleifera and offer new perspectives on the mechanism of low Pi tolerance in woody oil plants.

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