QTL associated with lateral root plasticity in response to soil moisture fluctuation stress in rice

Niones, Jonathan M.; Inukai, Yoshiaki; Suralta, Roel Rodriguez; Yamauchi, Akira

doi:10.1007/s11104-015-2404-x

Cited by 44 publications

(42 citation statements)

References 51 publications

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“…Thus, by using CSSLs, we examined the quantitative evaluation on the role of root plastic responses to contiguous water gradient in rice. By comparing Nipponbare with CSSLs, we confirmed that root plasticity was affected by the intensities of drought stress and also affected by the genotypes indicating that such plastic root response is genetically controlled (Niones et al 2015). By using these tools, the genetic control of phenotypic plasticity has been clarified through the precise quantitative evaluation and measurement of root plasticity with minimal ef f ects of genetic confounding (Lacaze et al 2009, Sandhu et al 2016.…”

Section: Discussionmentioning

confidence: 70%

Quantitative evaluation of plastic root responses to contiguous water gradient in rice

et al. 2017

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Root plasticity is the key trait for plant adaptation to environmental stresses. To quantify phenotypic plasticity to its full extent in potential, it needs to be evaluated under contiguous environmental changes. For that purpose, we used the combination of chromosome segment substitution lines (Nipponbare/Kasalath CSSLs) and line source sprinkler (LSS) system of irrigation. For analysis, we first attempted to apply the coefficient of variation (CV) and norm of reaction that have been used as the conventional approaches, and then propose a new approach for quantification of root plasticity. Results revealed that CV was not linked to root plasticity under contiguous water gradient in this study. In contrast, norm of reaction was linked to root plasticity and better explained with curve than linear, especially for CSSL50 (the most plastic genotypes) under such gradient. Based on the norm of reaction with curve, root plasticity was calculated using the difference in total root length between CSSLs and the recurrent parent, Nipponbare. Further analysis of root plasticity in relation to dry matter production was also done. By applying the new approach, we confirmed that root plasticity expression was affected by the intensities of drought stress and genotypes, indicating that such root plasticity is genetically controlled. In addition, root plasticity effectively contributed to the dry matter production under the drought conditions and maximized at around 20% of soil moisture content (-0.04 MPa). By using CSSLs and LSS system, we successfully evaluated root plasticity under contiguous water gradient.

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Section: Discussionmentioning

confidence: 70%

Quantitative evaluation of plastic root responses to contiguous water gradient in rice

et al. 2017

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“…In terms of plasticity, the region on chromosome 1 (loci id1023892 and id1024972) is located near qDTY 1.1 , a major-effect drought-yield QTL that has been observed to confer plastic responses to drought, including increased root growth at depth and regulation of shoot growth (Vikram et al, 2015), as well as a hot spot for root traits including an increased proportion of deep roots by drought in the OryzaSNP panel (Wade et al, 2015). No plasticity traits from this study were colocated with the recently identified QTL qLLRN-12 for plasticity in lateral root growth under soil moisture fluctuation stress (Niones et al, 2015), although a locus at which root traits were detected in the Aus 276 population (id12001321 on chromosome 12) colocates with qLLRN-12.…”

Section: Discussionmentioning

confidence: 92%

“…Despite the likely genetic complexity behind the regulation of trait expression according to environmental conditions, phenotypic plasticity is heritable and selectable (for review, see Nicotra and Davidson, 2010). Genetic regions identified to be related to root phenotypic plasticity traits in crops include quantitative trait loci (QTLs) for root hair length plasticity in maize under low phosphorus (Zhu et al, 2005a), lateral root number plasticity in maize under low phosphorus (Zhu et al, 2005b), plasticity in aerenchyma development in response to drought stress in rice (Niones et al, 2013), and plasticity in lateral root growth in response to drought stress in rice (Niones et al, 2015). In wheat translocation lines, a plastic response of increased root biomass to drought was located to chromosome 1BS (Ehdaie et al, 2011).…”

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confidence: 99%

Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions

et al. 2016

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Future rice (Oryza sativa) crops will likely experience a range of growth conditions, and root architectural plasticity will be an important characteristic to confer adaptability across variable environments. In this study, the relationship between root architectural plasticity and adaptability (i.e. yield stability) was evaluated in two traditional 3 improved rice populations (Aus 276 3 MTU1010 and Kali Aus 3 MTU1010). Forty contrasting genotypes were grown in direct-seeded upland and transplanted lowland conditions with drought and drought + rewatered stress treatments in lysimeter and field studies and a low-phosphorus stress treatment in a Rhizoscope study. Relationships among root architectural plasticity for root dry weight, root length density, and percentage lateral roots with yield stability were identified. Selected genotypes that showed high yield stability also showed a high degree of root plasticity in response to both drought and low phosphorus. The two populations varied in the soil depth effect on root architectural plasticity traits, none of which resulted in reduced grain yield. Root architectural plasticity traits were related to 13 (Aus 276 population) and 21 (Kali Aus population) genetic loci, which were contributed by both the traditional donor parents and MTU1010. Three genomic loci were identified as hot spots with multiple root architectural plasticity traits in both populations, and one locus for both root architectural plasticity and grain yield was detected. These results suggest an important role of root architectural plasticity across future rice crop conditions and provide a starting point for marker-assisted selection for plasticity.

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“…Therefore, the water uptake per unit root length was significantly better in 'Puluik Arang' than in 'Akitakomachi' regardless of the treatment. We also found made in the analysis of quantitative trait loci (QTL) associated with lateral root development can contribute towards elucidation of the genetic control of lateral root development (Niones et al, 2015). The evaluation of differences in the genetic control of development and function of S-type and L-type lateral roots will be required to clarify the role played by L-type lateral roots in conditions where water availability is low.…”

Section: Resultsmentioning

confidence: 99%

Root development and the expression of aquaporin genes in rice seedlings under osmotic stress

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Ishikawa–Sakurai

et al. 2016

Plant Production Science

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QTL associated with lateral root plasticity in response to soil moisture fluctuation stress in rice

Cited by 44 publications

References 51 publications

Quantitative evaluation of plastic root responses to contiguous water gradient in rice

Quantitative evaluation of plastic root responses to contiguous water gradient in rice

Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions

Root development and the expression of aquaporin genes in rice seedlings under osmotic stress

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