2012
DOI: 10.1016/j.jplph.2011.09.002
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Transcriptome profiling characterizes phosphate deficiency effects on carbohydrate metabolism in rice leaves

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Cited by 38 publications
(23 citation statements)
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References 48 publications
(51 reference statements)
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“…These included transporters involved in uptake of not only macroelements such as nitrate, potassium, sulfate and calcium, but also microelements such as boron, zinc, iron and copper. It was also proposed that P nutrition could affect sugar metabolisms via likely crosstalk between the two engaged signaling pathways (Müller et al 2007;Park et al 2012). Consistent with this idea, we found that the transcription of five sugar transporters was affected by P deficiency in the Pt seedlings.…”
Section: P Deficiency Affects the Transcription Of Multiple Transporterssupporting
confidence: 88%
“…These included transporters involved in uptake of not only macroelements such as nitrate, potassium, sulfate and calcium, but also microelements such as boron, zinc, iron and copper. It was also proposed that P nutrition could affect sugar metabolisms via likely crosstalk between the two engaged signaling pathways (Müller et al 2007;Park et al 2012). Consistent with this idea, we found that the transcription of five sugar transporters was affected by P deficiency in the Pt seedlings.…”
Section: P Deficiency Affects the Transcription Of Multiple Transporterssupporting
confidence: 88%
“…Since past one and half decade several transcriptome analysis were performed in different plant species in response to diverse micronutrient deficiency to mine the important genes along with their role in different metabolic pathways (Wasaki et al, 2003, 2006; Li et al, 2010a,b; Cai et al, 2012; Ma et al, 2012; Park et al, 2012; Takehisa et al, 2013, 2015; Yu et al, 2016; Forieri et al, 2017; Gupta et al, 2017). In continuation, the current study reports 398 differentially expressed genes through a comparative transcriptomic study of micronutrient deficient samples grown in soil having environment growth conditions.…”
Section: Discussionmentioning
confidence: 99%
“…The transcriptomic analysis provides genome-wide measurement of messenger RNA (mRNA) expression levels based on microarray technology. Microarray technology is rigorously used to uncover the regulatory, signaling, sensing and adaptation mechanism of transcripts in response to nutrients deficiency (mainly N, P , and K ) in model plants (Wasaki et al, 2003, 2006; Wu et al, 2003; Armengaud et al, 2004; Misson et al, 2005; Lian et al, 2006; Li et al, 2010a,b; Krapp et al, 2011; Cai et al, 2012; Ma et al, 2012; Park et al, 2012). These in-vitro grown customized experiments elucidate that several transcriptional responses occur when plants were subjected to various nutrients deficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Results showed that the availability of P in soil increased from the beginning of the experiment (16 mg dm -3 ) to P fertilizer applications, promoting changes in the deposition of reducing sugars in the 'FHIA 18' unripe fruits. This outcome may have occurred because carbohydrates synthesis in plants are influenced by P content in plant tissue, which is confirmed by Park et al (2012), who found that the lowest application of P fertilizer decreases glucose biosynthesis. After the first cycle, the lack of response to P is due to the increase in root system, which may have enabled the absorption of P in deeper soil layers, as the cycles progress (J. T. A.…”
Section: Physicochemical Characterization From Unripe Fruits Of Bananasmentioning
confidence: 65%
“…Starch synthesis in plants are highly influenced by phosphorus content in their tissue (Park, Baek, Reyes, Yun, & Hasenstein, 2012;Zhao et al, 2015). Starch is the main source of carbohydrate in unripe bananas, its content varies widely between and within botanical species, even in the same cultivar when grown under different conditions (Mesquita et al, 2016).…”
Section: Introductionmentioning
confidence: 99%