H. Díaz, E. Macea, R. Escobar, S. Beebe, J. Tohme, B. Raatz
{"title":"PowderBot: An automated device for decision-making in crop breeding programs based on DNA extraction from seed powder","authors":"H. Díaz, E. Macea, R. Escobar, S. Beebe, J. Tohme, B. Raatz","doi":"10.1016/j.ohx.2025.e00706","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents the design, construction, operation, and evaluation of PowderBot, a purpose-built, open-source, low-cost machine (∼US$ 5000) that automates DNA extraction from ungerminated seeds. The device drills into the seed cotyledon, where the genetic information of the prospective plant is stored. It then transfers the pure, powdered samples directly to well-plates for analysis. This reduces time and other research resources and can accelerate crop varietal improvement, ultimately contributing to more efficient and successful crop breeding programs. At CIAT́s campus, we have validated the method for obtaining seed-tissue material from common beans for DNA extraction and subsequently genotyping agronomically interesting lines, using the bc-3 molecular marker. Three genotyping trials were carried out using this method, which generated consistent results, regardless of the number of perforations made to the seed. This leads us to infer that the method works effectively and can be applied for marker assisted selection (MAS) in bean and other crop breeding programs. Finally, germination and vigor tests indicated the sampling process did not significantly compromise perforated seed germination rate, physiological quality or viability.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"24 ","pages":"Article e00706"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HardwareX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468067225000847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the design, construction, operation, and evaluation of PowderBot, a purpose-built, open-source, low-cost machine (∼US$ 5000) that automates DNA extraction from ungerminated seeds. The device drills into the seed cotyledon, where the genetic information of the prospective plant is stored. It then transfers the pure, powdered samples directly to well-plates for analysis. This reduces time and other research resources and can accelerate crop varietal improvement, ultimately contributing to more efficient and successful crop breeding programs. At CIAT́s campus, we have validated the method for obtaining seed-tissue material from common beans for DNA extraction and subsequently genotyping agronomically interesting lines, using the bc-3 molecular marker. Three genotyping trials were carried out using this method, which generated consistent results, regardless of the number of perforations made to the seed. This leads us to infer that the method works effectively and can be applied for marker assisted selection (MAS) in bean and other crop breeding programs. Finally, germination and vigor tests indicated the sampling process did not significantly compromise perforated seed germination rate, physiological quality or viability.
HardwareXEngineering-Industrial and Manufacturing Engineering
CiteScore
4.10
自引率
18.20%
发文量
124
审稿时长
24 weeks
期刊介绍:
HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.