Robotic Assay for Drought (RoAD): An Automated Phenotyping System for Brassinosteroid and Drought Response

Xiang, Lirong; Nolan, Trevor M.; Bao, Yuhai; Elmore, Mitch; Tuel, Taylor; Gai, Jingyao; Shah, Dylan; Hüser, Nicole; Hurd, Ashley M.; McLaughlin, Sean A; Howell, Stephen H.; Walley, Justin W.; Yin, Yanhai; Tang, Lie

doi:10.1101/2020.06.01.128199

Cited by 3 publications

(4 citation statements)

References 55 publications

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“… Xiang et al (2020) reported a robotic assay for drought (RoAD) by using a mobile cart. In this system, measurement equipment was carried by a robot, and plants were not delivered.…”

Section: Discussionmentioning

confidence: 99%

“…With the function, plant pots could be automatically picked up or returned with robust behavior. Xiang et al (2020) reported a robotic assay for drought (RoAD) by using a mobile cart. In this system, measurement equipment was carried by a robot, and plants were not delivered.…”

Section: Development Of a Plant Conveyance System Using An Agvmentioning

confidence: 99%

“…To respond effectively to such differences, flexibility in the transport system is arguably the most desirable design feature. Use of autonomous mobile robots is an effective approach, and systems that can be customized without changing the hardware have been proposed ( Xiang et al 2020 ). Drones are the most popular type of autonomous mobile robot, and they have been frequently used in plant phenotyping ( Guo et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping

et al. 2022

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Plant phenotyping technology has been actively developed in recent years, but the introduction of these technologies into the field of agronomic research has not progressed as expected, in part due to the need for flexibility and low cost. “DIY” (Do It Yourself) methodologies are an efficient way to overcome such obstacles. Devices with modular functionality are critical to DIY experimentation, allowing researchers flexibility of design. In this study, we developed a plant conveyance system using a commercial AGV (Automated Guided Vehicle) as a case study of DIY plant phenotyping. The convey module consists of two devices, a running device and a plant-handling device. The running device was developed based on a commercial AGV Kit. The plant-handling device, plant stands, and pot attachments were originally designed and fabricated by us and our associates. Software was also developed for connecting the devices and operating the system. The run route was set with magnetic tape, which can be easily changed or rerouted. Our plant delivery system was developed with low cost and having high flexibility, as a unit that can contribute to others’ DIY’ plant research efforts as well as our own. It is expected that the developed devices will contribute to diverse phenotype observations of plants in the greenhouse as well as to other important functions in plant breeding and agricultural production.

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“… Xiang et al (2020) reported a robotic assay for drought (RoAD) by using a mobile cart. In this system, measurement equipment was carried by a robot, and plants were not delivered.…”

Section: Discussionmentioning

confidence: 99%

Section: Development Of a Plant Conveyance System Using An Agvmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping

et al. 2022

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“…BR Phenotyping Methods. BL phenotyping were carried out as previously described (58). Seeds were sterilized for 4 hours in a Nalgene Acrylic Desiccator Cabinet (Fisher Scientific, 08-642-22) by mixing 200mL bleach (8.25% sodium hypochlorite) with 8mL concentrated hydrochloric acid to generate chlorine gas.…”

Section: Mutant Bes1 Cloning and Protein Level Detectionmentioning

confidence: 99%

Integrated omics networks reveal the temporal signaling events of brassinosteroid response inArabidopsis

Clark

Nolan

Wang

et al. 2020

Preprint

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Brassinosteroids (BRs) are plant steroid hormones that are known to regulate cell division and stress response. We used a systems biology approach to integrate multi-omic datasets and unravel the molecular signaling events of BR response in Arabidopsis. We profiled the levels of 32,549 transcripts, 9,035 protein groups, and 26,950 phosphorylation sites from Arabidopsis seedlings treated with brassinolide (BL, most active BR) for six different lengths of time. We then constructed a network inference pipeline called Spatiotemporal Clustering and Inference of Omics Networks (SC-ION) that was able to integrate these multi-omic data into one, cohesive regulatory network. Our network illustrates the signaling cascade of BR response, starting with kinase-substrate phosphorylation and ending with transcriptional regulation. We used our network predictions to identify putative, relevant phosphorylation sites on the TF BRI1-EMSSUPPRESSOR 1 (BES1); the importance of which we experimentally validated. Additionally, we identified an uncharacterized TF, which we named BRONTOSAURUS (BRON), that regulates cell division. Further, we show that bron mutant roots are hypersensitive to BL. Together, this work demonstrates the power of integrative network analysis applied to multiomic data and provides fundamental insights into the molecular signaling events occurring during BR response.

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Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis

et al. 2021

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Brassinosteroids (BRs) are plant steroid hormones that regulate cell division and stress response. Here we use a systems biology approach to integrate multi-omic datasets and unravel the molecular signaling events of BR response in Arabidopsis. We profile the levels of 26,669 transcripts, 9,533 protein groups, and 26,617 phosphorylation sites from Arabidopsis seedlings treated with brassinolide (BL) for six different lengths of time. We then construct a network inference pipeline called Spatiotemporal Clustering and Inference of Omics Networks (SC-ION) to integrate these data. We use our network predictions to identify putative phosphorylation sites on BES1 and experimentally validate their importance. Additionally, we identify BRONTOSAURUS (BRON) as a transcription factor that regulates cell division, and we show that BRON expression is modulated by BR-responsive kinases and transcription factors. This work demonstrates the power of integrative network analysis applied to multi-omic data and provides fundamental insights into the molecular signaling events occurring during BR response.

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Robotic Assay for Drought (RoAD): An Automated Phenotyping System for Brassinosteroid and Drought Response

Cited by 3 publications

References 55 publications

Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping

Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping

Integrated omics networks reveal the temporal signaling events of brassinosteroid response inArabidopsis

Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis

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