A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta)

Abstract Background Root and tuber crops are becoming more important for their high source of carbohydrates, next to cereals. Despite their commercial impact, there are significant knowledge gaps about the environmental and inherent regulation of storage root (SR) differentiation, due in part to the innate problems of studying storage roots and the lack of a suitable model system for monitoring storage root growth. The research presented here aimed to develop a reliable, low-cost effective system that enables the study of the factors influencing cassava storage root initiation and development. Results We explored simple, low-cost systems for the study of storage root biology. An aeroponics system described here is ideal for real-time monitoring of storage root development (SRD), and this was further validated using hormone studies. Our aeroponics-based auxin studies revealed that storage root initiation and development are adaptive responses, which are significantly enhanced by the exogenous auxin supply. Field and histological experiments were also conducted to confirm the auxin effect found in the aeroponics system. We also developed a simple digital imaging platform to quantify storage root growth and development traits. Correlation analysis confirmed that image-based estimation can be a surrogate for manual root phenotyping for several key traits. Conclusions The aeroponic system developed from this study is an effective tool for examining the root architecture of cassava during early SRD. The aeroponic system also provided novel insights into storage root formation by activating the auxin-dependent proliferation of secondary xylem parenchyma cells to induce the initial root thickening and bulking. The developed system can be of direct benefit to molecular biologists, breeders, and physiologists, allowing them to screen germplasm for root traits that correlate with improved economic traits.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.4732538.v1
PID https://www.doi.org/10.6084/m9.figshare.c.4732538
URL http://dx.doi.org/10.6084/m9.figshare.c.4732538
URL http://dx.doi.org/10.6084/m9.figshare.c.4732538.v1
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right not available
Attribution

Description: Authorships and contributors

Field Value
Author Selvaraj, Michael
Author Montoya-P, Maria
Author Atanbori, John
Author French, Andrew
Author Pridmore, Tony
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite
Hosted By figshare
Publication Date 2019-01-01
Publisher figshare
Additional Info
Field Value
Language UNKNOWN
Resource Type Collection
keyword FOS: Biological sciences
system:type other
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::e56a4d86576a6f96063395d6585dc25e
Author jsonws_user
Last Updated 20 December 2020, 02:37 (CET)
Created 20 December 2020, 02:37 (CET)