scholarly journals Genome-wide transcriptome dissection of the rice root system: implications for developmental and physiological functions

2011 ◽  
Vol 69 (1) ◽  
pp. 126-140 ◽  
Author(s):  
Hinako Takehisa ◽  
Yutaka Sato ◽  
Motoko Igarashi ◽  
Tomomi Abiko ◽  
Baltazar A. Antonio ◽  
...  
2009 ◽  
Vol 35 (6) ◽  
pp. 1030-1037 ◽  
Author(s):  
Ting-Chen MA ◽  
Rong-Jun CHEN ◽  
Rong-Rong YU ◽  
Han-Lai ZENG ◽  
Duan-Pin ZHANG

2020 ◽  
Vol 11 ◽  
Author(s):  
Waldiodio Seck ◽  
Davoud Torkamaneh ◽  
François Belzile

Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P < 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties.


2009 ◽  
pp. 171-188
Author(s):  
Brigitte Courtois ◽  
Nourollah Ahmadi ◽  
Christophe Perin ◽  
Delphine Luquet ◽  
Emmanuel Guiderdoni
Keyword(s):  

2014 ◽  
Vol 14 (2) ◽  
pp. 401-417 ◽  
Author(s):  
Sonali Dubey ◽  
Manju Shri ◽  
Prashant Misra ◽  
Deepika Lakhwani ◽  
Sumit Kumar Bag ◽  
...  

Author(s):  
Jayeshkumar A. Bhabhor ◽  
Kirti Bardhan ◽  
Dhiraj P. Patel ◽  
Ajay V. Narwade ◽  
Harshad N. Chatrola

2021 ◽  
Vol 12 ◽  
Author(s):  
Daniel Gonzalez ◽  
Johannes Postma ◽  
Matthias Wissuwa

The rice root system develops a large number of nodal roots from which two types of lateral roots branch out, large L-types and fine S-types, the latter being unique to the species. All roots including S-types are covered by root hairs. To what extent these fine structures contribute to phosphate (P) uptake under P deficiency was investigated using a novel 3-D root growth model that treats root hairs as individual structures with their own Michaelis-Menten uptake kinetics. Model simulations indicated that nodal roots contribute most to P uptake followed by L-type lateral roots and S-type laterals and root hairs. This is due to the much larger root surface area of thicker nodal roots. This thickness, however, also meant that the investment in terms of P needed for producing nodal roots was very large. Simulations relating P costs and time needed to recover that cost through P uptake suggest that producing nodal roots represents a considerable burden to a P-starved plant, with more than 20 times longer pay-off time compared to S-type laterals and root hairs. We estimated that the P cost of these fine root structures is low enough to be recovered within a day of their formation. These results expose a dilemma in terms of optimizing root system architecture to overcome P deficiency: P uptake could be maximized by developing more nodal root tissue, but when P is growth-limiting, adding more nodal root tissue represents an inefficient use of the limiting factor P. In order to improve adaption to P deficiency in rice breeding two complementary strategies seem to exist: (1) decreasing the cost or pay-off time of nodal roots and (2) increase the biomass allocation to S-type roots and root hairs. To what extent genotypic variation exists within the rice gene pool for either strategy should be investigated.


2009 ◽  
Vol 3 (6) ◽  
pp. 279-281 ◽  
Author(s):  
Pala Surya Priya ◽  
A. Snehalatha ◽  
U. Kayalvili ◽  
A.R. Krishna ◽  
Sukpal Singh ◽  
...  

2001 ◽  
Vol 70 (3) ◽  
pp. 408-417 ◽  
Author(s):  
Susumu ARIMA ◽  
Kazumasa SAISHO ◽  
Jiro HARADA

2018 ◽  
Vol 1 (75) ◽  
pp. 72-77
Author(s):  
Vladimir Griguletsky ◽  
◽  
Irina Arinicheva ◽  
Maria Zhilina ◽  
◽  
...  

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