» Articles » PMID: 33762871

Challenges to Design-oriented Breeding of Root System Architecture Adapted to Climate Change

Overview
Journal Breed Sci
Date 2021 Mar 25
PMID 33762871
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

Roots are essential organs for capturing water and nutrients from the soil. In particular, root system architecture (RSA) determines the extent of the region of the soil where water and nutrients can be gathered. As global climate change accelerates, it will be important to improve belowground plant parts, as well as aboveground ones, because roots are front-line organs in the response to abiotic stresses such as drought, flooding, and salinity stress. However, using conventional breeding based on phenotypic selection, it is difficult to select breeding lines possessing promising RSAs to adapted to abiotic stress because roots remain hidden underground. Therefore, new breeding strategies that do not require phenotypic selection are necessary. Recent advances in molecular biology and biotechnology can be applied to the design-oriented breeding of RSA without phenotypic selection. Here I summarize recent progress in RSA ideotypes as "design" and RSA-related gene resources as "materials" that will be needed in leveraging these technologies for the RSA breeding. I also highlight the future challenges to design-oriented breeding of RSA and explore solutions to these challenges.

Citing Articles

Root phenotypes for improved nitrogen capture.

Lynch J, Galindo-Castaneda T, Schneider H, Sidhu J, Rangarajan H, York L Plant Soil. 2024; 502(1-2):31-85.

PMID: 39323575 PMC: 11420291. DOI: 10.1007/s11104-023-06301-2.


Thriving in a salty future: morpho-anatomical, physiological and molecular adaptations to salt stress in alfalfa (Medicago sativa L.) and other crops.

Liu X, Elzenga J, Venema J, Tiedge K Ann Bot. 2024; 134(7):1113-1130.

PMID: 39215647 PMC: 11688534. DOI: 10.1093/aob/mcae152.


Three-dimensional image analysis specifies the root distribution for drought avoidance in the early growth stage of rice.

Numajiri Y, Yoshida S, Hayashi T, Uga Y Ann Bot. 2024; 134(4):593-602.

PMID: 38908006 PMC: 11523609. DOI: 10.1093/aob/mcae101.


Strategies of Molecular Signal Integration for Optimized Plant Acclimation to Stress Combinations.

Kumar V, Wegener M, Knieper M, Kaya A, Viehhauser A, Dietz K Methods Mol Biol. 2024; 2832:3-29.

PMID: 38869784 DOI: 10.1007/978-1-0716-3973-3_1.


Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels.

Teramoto S, Uga Y Plant Methods. 2024; 20(1):73.

PMID: 38773503 PMC: 11106967. DOI: 10.1186/s13007-024-01208-0.


References
1.
Uga Y, Kitomi Y, Ishikawa S, Yano M . Genetic improvement for root growth angle to enhance crop production. Breed Sci. 2015; 65(2):111-9. PMC: 4430504. DOI: 10.1270/jsbbs.65.111. View

2.
Bailey-Serres J, Parker J, Ainsworth E, Oldroyd G, Schroeder J . Genetic strategies for improving crop yields. Nature. 2019; 575(7781):109-118. PMC: 7024682. DOI: 10.1038/s41586-019-1679-0. View

3.
Yu B, Lin Z, Li H, Li X, Li J, Wang Y . TAC1, a major quantitative trait locus controlling tiller angle in rice. Plant J. 2007; 52(5):891-8. DOI: 10.1111/j.1365-313X.2007.03284.x. View

4.
Kitomi Y, Hanzawa E, Kuya N, Inoue H, Hara N, Kawai S . Root angle modifications by the homolog improve rice yields in saline paddy fields. Proc Natl Acad Sci U S A. 2020; 117(35):21242-21250. PMC: 7474696. DOI: 10.1073/pnas.2005911117. View

5.
Mickelbart M, Hasegawa P, Bailey-Serres J . Genetic mechanisms of abiotic stress tolerance that translate to crop yield stability. Nat Rev Genet. 2015; 16(4):237-51. DOI: 10.1038/nrg3901. View