Phosphorus and Iron Deficiencies Influences Rice Shoot Growth in an Oxygen Dependent Manner: Insight from Upland and Lowland Rice

Mongon, Jenjira; Chaiwong, Nanthana; Bouain, Nadia; Prom‐u‐thai, Chanakan; Secco, David; Rouached, Hatem

doi:10.3390/ijms18030607

Cited by 18 publications

(18 citation statements)

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“…It has been previously demonstrated that the shoot and root biomass of rice varieties are affected by the availability of Pi and/or Fe concentration in the medium [ 24 ]. Whether also an interaction among Si, Pi, and/or Fe homeostasis controls rice growth is unknown.…”

Section: Resultsmentioning

confidence: 99%

“…The results of this study showed that the majority of transcript changes observed in the absence of Fe (−Fe growth conditions) were repressed if Pi was also absent (−Fe−Pi). At phenotypic level, it has been shown that Pi and Fe interact in an antagonistic manner to modulate rice growth [ 22 , 23 , 24 ]. For instance, rice growth is severely affected by Fe deficiency and can be inverted by simultaneous Fe and P deficiencies.…”

Section: Introductionmentioning

confidence: 99%

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Individual versus Combinatorial Effects of Silicon, Phosphate, and Iron Deficiency on the Growth of Lowland and Upland Rice Varieties

Chaiwong

Prom‐u‐thai

Bouain

et al. 2018

IJMS

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Mineral nutrient homeostasis is essential for plant growth and development. Recent research has demonstrated that the occurrence of interactions among the mechanisms regulating the homeostasis of different nutrients in plants is a general rule rather than an exception. Therefore, it is important to understand how plants regulate the homeostasis of these elements and how multiple mineral nutrient signals are wired to influence plant growth. Silicon (Si) is not directly involved in plant metabolism but it is an essential element for a high and sustainable production of crops, especially rice, because of its high content in the total shoot dry weight. Although some mechanisms underlying the role of Si in plants responses to both abiotic and biotic stresses have been proposed, the involvement of Si in regulating plant growth in conditions where the availability of essential macro- and micronutrients changes remains poorly investigated. In this study, the existence of an interaction between Si, phosphate (Pi), and iron (Fe) availability was examined in lowland (Suphanburi 1, SPR1) and upland (Kum Hom Chiang Mai University, KH CMU) rice varieties. The effect of Si and/or Fe deficiency on plant growth, Pi accumulation, Pi transporter expression (OsPHO1;2), and Pi root-to-shoot translocation in these two rice varieties grown under individual or combinatorial nutrient stress conditions were determined. The phenotypic, physiological, and molecular data of this study revealed an interesting tripartite Pi-Fe-Si homeostasis interaction that influences plant growth in contrasting manners in the two rice varieties. These results not only reveal the involvement of Si in modulating rice growth through an interaction with essential micro- and macronutrients, but, more importantly, they opens new research avenues to uncover the molecular basis of Pi-Fe-Si signaling crosstalk in plants.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Individual versus Combinatorial Effects of Silicon, Phosphate, and Iron Deficiency on the Growth of Lowland and Upland Rice Varieties

Chaiwong

Prom‐u‐thai

Bouain

et al. 2018

IJMS

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“…Recent studies have revealed the presence of an interaction between the mineral nutrients and oxygen to modulates rice growth capacity (Saenchai et al, 2016;Mongon et al, 2017). Availability of mineral nutrients for plants growth and development is important (Rouached et al, 2010;Bouain et al, 2014) to ensure a better growth and a high yield.…”

Section: Introductionmentioning

confidence: 99%

The Time of Flooding Occurrence is Critical for Yield Production in Rice and Vary in a Genotype-Dependent Manner

Mongon

Jantasorn

Oupkaew

et al. 2017

OnLine Journal of Biological Sciences

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Flash floods occur in rainfed lowland and flood-prone areas and have a profound incidence on crop yield, which is tightly linked to worldwide food insecurity. The most flooding-threatened crop is rice. Under this condition, rice undergoes anoxic and post-anoxic shock that affects its growth, development capacity and ultimately causes an important grain yield loss. Therefore, the introduction of submergence-tolerant varieties in a flood-prone area was proposed as a preventive solution to limit these effects. Such a solution presents room for improvement and would benefit from a post-submergence management to ensure a better rice yield, yet remains to be defined. In this study, we assessed the effect of flooding on growth and yield of different rice varieties submerged at a different time of their developmental stage. We compared three rice varieties, namely Prachinburi 2 (PCR2), Kao Samer 1 (KSM1) and Neang Guang 5 (NG5), for their tolerance to 14 days of 50 cm depth submergence at 30, 60 and 90 Days After Germination (DAG). At 30 DAG, the recovery ability of KSM1 was restricted, showing decreased shoot dry mass and grain yield, whereas photo assimilate transport of PCR2 and NG5 was altered, resulting in high leaf nitrogen (N) concentration but low grain yield. Our data revealed that rice varieties were more tolerant to submergence at 60 and 90 DAG. In opposition to KSM1 and NG5 grain yield, PCR2 showed rapid recovery with a marked increase of shoot dry mass and grain yield. Taken together, our result indicates that de-submergence at late developmental stage promotes rice recovery and yield of tolerant variety. Gene discovery work is required to identify molecular players and pathways that are involved in submergence stress recovery in rice.

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“…191 192 Gene expression data is increasing with the use of transcriptomic technologies, requiring the development 193 of methods for their efficient analysis. Combination with functional genomics approaches these 194 computational tools can help to gain new insight on the molecular mechanisms of complex phenomenon 195 such as the regulation of ions homeostasis in plants (Mongon et al, 2017;Rouached and Rhee, 2017). In 196 this context, we developed and used an algorithm, TransDetect, to identify regulators (TFs) and to build 197 a GRNs that control the expression of a Pi transporter, PHO1;H3, in response to -Zn conditions.…”

Section: Ice1 Regulates Pi Accumulation Under Zn Deficiency In a Myb1mentioning

confidence: 99%

TransDetect Identifies a New Regulatory Module Controlling Phosphate Accumulation

et al. 2017

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challenge. The accuracy of current methods at genome scale significantly drops with the increase in 28 number of genes, which limits their applicability to more complex genomes, like animals and plants. Here, 29 we developed an algorithm, TransDetect, able to predict TFs combinations controlling the expression 30 level of a given gene. TransDetect was used to identify novel TFs modules regulating the expression of 31 Arabidopsis phosphate transporter PHO1;H3 comprising MYB15, MYB84, bHLH35 and ICE1. These 32TFs were confirmed to interact between themselves and with the PHO1;H3 promoter. Phenotypic and 33 genetic analyses of TF mutants enable the organization of these four TFs and PHO1;H3 in a new gene 34 regulatory network controlling phosphate accumulation in zinc-dependent manner. This demonstrates the 35 reliability of TransDetect to extract directionality in non-dynamic transcriptomes and to provide blueprint 36 to identify gene regulatory network involved in a given biological process. 37 38

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Phosphorus and Iron Deficiencies Influences Rice Shoot Growth in an Oxygen Dependent Manner: Insight from Upland and Lowland Rice

Cited by 18 publications

References 18 publications

Individual versus Combinatorial Effects of Silicon, Phosphate, and Iron Deficiency on the Growth of Lowland and Upland Rice Varieties

Individual versus Combinatorial Effects of Silicon, Phosphate, and Iron Deficiency on the Growth of Lowland and Upland Rice Varieties

The Time of Flooding Occurrence is Critical for Yield Production in Rice and Vary in a Genotype-Dependent Manner

TransDetect Identifies a New Regulatory Module Controlling Phosphate Accumulation

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