scholarly journals Phene Synergism between Root Hair Length and Basal Root Growth Angle for Phosphorus Acquisition

2015 ◽  
Vol 167 (4) ◽  
pp. 1430-1439 ◽  
Author(s):  
Magalhaes Amade Miguel ◽  
Johannes Auke Postma ◽  
Jonathan Paul Lynch
2010 ◽  
Vol 37 (4) ◽  
pp. 313 ◽  
Author(s):  
Jinming Zhu ◽  
Chaochun Zhang ◽  
Jonathan P. Lynch

Root hairs are subcellular protrusions from the root epidermis that are important for the acquisition of immobile nutrients such as phosphorus (P). Genetic variation exists for both root hair length and the plasticity of root hair length in response to P availability, where plasticity manifests as increased root hair length in response to low P availability. Although it is known that long root hairs assist P acquisition, the utility of phenotypic plasticity for this trait is not known. To assess the utility of root hair plasticity for adaptation to low phosphorus availability, we evaluated six recombinant inbred lines of maize (Zea mays L.) with varying root hair lengths and root hair plasticity in a controlled environment and in the field. Genotypes with long root hairs under low P availability had significantly greater plant growth, P uptake, specific P absorption rates and lower metabolic cost-benefit ratios than short-haired genotypes. Root hair length had no direct effect on root respiration. In the controlled environment, plastic genotypes had greater biomass allocation to roots, greater reduction in specific root respiration and greater final biomass accumulation at low phosphorus availability than constitutively long-haired genotypes. In the field study, the growth of plastic and long-haired genotypes were comparable under low P, but both were superior to short-haired genotypes. We propose that root hair plasticity is a component of a broader suite of traits, including plasticity in root respiration, that permit greater root growth and phosphorus acquisition in low P soils.


2015 ◽  
Vol 65 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Yusaku Uga ◽  
Yuka Kitomi ◽  
Satoru Ishikawa ◽  
Masahiro Yano

2020 ◽  
Vol 452 (1-2) ◽  
pp. 171-184 ◽  
Author(s):  
Natsumi Okano ◽  
Ryo Goto ◽  
Taku Kato ◽  
Daisuke Saisho ◽  
Kenji Kato ◽  
...  

2012 ◽  
Vol 110 (2) ◽  
pp. 319-328 ◽  
Author(s):  
L.K. Brown ◽  
T.S. George ◽  
J.A. Thompson ◽  
G. Wright ◽  
J. Lyon ◽  
...  

2013 ◽  
Vol 372 (1-2) ◽  
pp. 195-205 ◽  
Author(s):  
Lawrie K. Brown ◽  
Timothy S. George ◽  
Gracie E. Barrett ◽  
Stephen F. Hubbard ◽  
Philip J. White

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Harini Rangarajan ◽  
Jonathan P. Lynch

High throughput phenotyping is important to bridge the gap between genotype and phenotype. The methods used to describe the phenotype therefore should be robust to measurement errors, relatively stable over time, and most importantly, provide a reliable estimate of elementary phenotypic components. In this study, we use functional-structural modeling to evaluate quantitative phenotypic metrics used to describe root architecture to determine how they fit these criteria. Our results show that phenes such as root number, root diameter, and lateral root branching density are stable, reliable measures and are not affected by imaging method or plane. Metrics aggregating multiple phenes such as total length, total volume, convex hull volume, and bushiness index estimate different subsets of the constituent phenes; they however do not provide any information regarding the underlying phene states. Estimates of phene aggregates are not unique representations of underlying constituent phenes: multiple phenotypes having phenes in different states could have similar aggregate metrics. Root growth angle is an important phene which is susceptible to measurement errors when 2D projection methods are used. Metrics that aggregate phenes which are complex functions of root growth angle and other phenes are also subject to measurement errors when 2D projection methods are used. These results support the hypothesis that estimates of phenes are more useful than metrics aggregating multiple phenes for phenotyping root architecture. We propose that these concepts are broadly applicable in phenotyping and phenomics.


2020 ◽  
Vol 8 (6) ◽  
pp. 1049-1056
Author(s):  
Feng Huang ◽  
Zhaoyan Chen ◽  
Dejie Du ◽  
Panfeng Guan ◽  
Lingling Chai ◽  
...  

Planta ◽  
2013 ◽  
Vol 239 (3) ◽  
pp. 643-651 ◽  
Author(s):  
Rebecca E. Haling ◽  
Lawrie K. Brown ◽  
A. Glyn Bengough ◽  
Tracy A. Valentine ◽  
Philip J. White ◽  
...  

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