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A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays

Understanding silique and seed morphology is essential to developmental biology. Arabidopsis thaliana is one of the best-studied plant models for understanding the genetic determinants of seed count and size. However, the small size of its seeds, and their encasement in a pod known as silique, makes...

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Autores principales: Ritchie, Brylie A., Uyeno, Theodore A., Diaz, Daniel Rincon F., Lokdarshi, Ansul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bio-Protocol 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560693/
https://www.ncbi.nlm.nih.gov/pubmed/37817902
http://dx.doi.org/10.21769/BioProtoc.4839
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author Ritchie, Brylie A.
Uyeno, Theodore A.
Diaz, Daniel Rincon F.
Lokdarshi, Ansul
author_facet Ritchie, Brylie A.
Uyeno, Theodore A.
Diaz, Daniel Rincon F.
Lokdarshi, Ansul
author_sort Ritchie, Brylie A.
collection PubMed
description Understanding silique and seed morphology is essential to developmental biology. Arabidopsis thaliana is one of the best-studied plant models for understanding the genetic determinants of seed count and size. However, the small size of its seeds, and their encasement in a pod known as silique, makes investigating their numbers and morphology both time consuming and tedious. Researchers often report bulk seed weights as an indicator of average seed size, but this overlooks individual seed details. Removal of the seeds and subsequent image analysis is possible, but automated counts are often impossible due to seed pigmentation and shadowing. Traditional ways of analyzing seed count and size, without their removal from the silique, involve lengthy histological processing (24–48 h) and the use of toxic organic solvents. We developed a method that is non-invasive, requires minimal sample processing, and obtains data in a short period of time (1–2 h). This method uses a custom X-ray imaging system to visualize Arabidopsis siliques at different stages of their growth. We show that this process can be successfully used to analyze the overall topology of Arabidopsis siliques and seed size and count. This new method can be easily adapted for other plant models. Key features • No requirement for organic solvents for imaging siliques. • Easy image capture and rapid turnaround time for obtaining data. • Protocol may be easily adapted for other plant models.
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spelling pubmed-105606932023-10-10 A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays Ritchie, Brylie A. Uyeno, Theodore A. Diaz, Daniel Rincon F. Lokdarshi, Ansul Bio Protoc Methods Article Understanding silique and seed morphology is essential to developmental biology. Arabidopsis thaliana is one of the best-studied plant models for understanding the genetic determinants of seed count and size. However, the small size of its seeds, and their encasement in a pod known as silique, makes investigating their numbers and morphology both time consuming and tedious. Researchers often report bulk seed weights as an indicator of average seed size, but this overlooks individual seed details. Removal of the seeds and subsequent image analysis is possible, but automated counts are often impossible due to seed pigmentation and shadowing. Traditional ways of analyzing seed count and size, without their removal from the silique, involve lengthy histological processing (24–48 h) and the use of toxic organic solvents. We developed a method that is non-invasive, requires minimal sample processing, and obtains data in a short period of time (1–2 h). This method uses a custom X-ray imaging system to visualize Arabidopsis siliques at different stages of their growth. We show that this process can be successfully used to analyze the overall topology of Arabidopsis siliques and seed size and count. This new method can be easily adapted for other plant models. Key features • No requirement for organic solvents for imaging siliques. • Easy image capture and rapid turnaround time for obtaining data. • Protocol may be easily adapted for other plant models. Bio-Protocol 2023-10-05 /pmc/articles/PMC10560693/ /pubmed/37817902 http://dx.doi.org/10.21769/BioProtoc.4839 Text en ©Copyright : © 2023 The Authors; This is an open access article under the CC BY license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Methods Article
Ritchie, Brylie A.
Uyeno, Theodore A.
Diaz, Daniel Rincon F.
Lokdarshi, Ansul
A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays
title A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays
title_full A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays
title_fullStr A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays
title_full_unstemmed A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays
title_short A Novel Imaging Protocol for Investigating Arabidopsis thaliana Siliques and Seeds Using X-rays
title_sort novel imaging protocol for investigating arabidopsis thaliana siliques and seeds using x-rays
topic Methods Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560693/
https://www.ncbi.nlm.nih.gov/pubmed/37817902
http://dx.doi.org/10.21769/BioProtoc.4839
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