Literature DB >> 18431774

Flow cytometry in plant breeding.

Sergio J Ochatt1.   

Abstract

Since the first report on the flow cytometric study of plant material 35 years ago, analyzing the nuclear DNA content of field bean, an ever increasing number of applications of FCM has been developed and applied in plant science and industry, but a similar length of time elapsed before the appearance of the first complete volume devoted to FCM of plant cells. Most published information on the uses of FCM addresses various aspects of animal (including human) cell biology, thus failing to provide a pertinent substitute. FCM represents an ideal means for the analysis of both cells and subcellular particles, with a potentially large number of parameters analyzed both rapidly, simultaneously, and quantitatively, thereby furnishing statistically exploitable data and allowing for an accurate and facilitated detection of subpopulations. It is, indeed, the summation of these facts that has established FCM as an important, and sometimes essential, tool for the understanding of fundamental mechanisms and processes underlying plant growth, development, and function. In this review, special attention is paid to FCM as applied to plant cells in the context of plant breeding, and some new and less well-known uses of it for plants will be discussed. (c) 2008 International Society for Advancement of Cytometry

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Year:  2008        PMID: 18431774     DOI: 10.1002/cyto.a.20562

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  15 in total

1.  Risk assessment of transgenic apomictic tetraploid bahiagrass, cytogenetics, breeding behavior and performance of intra-specific hybrids.

Authors:  Sukhpreet Sandhu; Victoria A James; Kenneth H Quesenberry; Fredy Altpeter
Journal:  Theor Appl Genet       Date:  2009-08-23       Impact factor: 5.699

2.  C-value reassessment of plant standards: an image cytometry approach.

Authors:  Milene Miranda Praça-Fontes; Carlos Roberto Carvalho; Wellington Ronildo Clarindo
Journal:  Plant Cell Rep       Date:  2011-08-18       Impact factor: 4.570

3.  Revisiting the DNA C-values of the genome size-standards used in plant flow cytometry to choose the "best primary standards".

Authors:  Milene Miranda Praça-Fontes; Carlos Roberto Carvalho; Wellington Ronildo Clarindo; Cosme Damião Cruz
Journal:  Plant Cell Rep       Date:  2011-02-13       Impact factor: 4.570

4.  Analysis of Ploidy in Haploids and Doubled Haploids.

Authors:  Sergio J Ochatt; Jose M Seguí-Simarro
Journal:  Methods Mol Biol       Date:  2021

5.  Utilization of flow cytometry for festulolium breeding (Lolium multiflorum (2x) × Festuca arundinacea (6x)).

Authors:  Yukio Akiyama; Yasufumi Ueyama; Seiya Hamada; Akito Kubota; Daisuke Kato; Hitomi Yamada-Akiyama; Yoshinori Takahara; Masahiro Fujimori
Journal:  Breed Sci       Date:  2016-03-01       Impact factor: 2.086

6.  Preliminary Genomic Characterization of Ten Hardwood Tree Species from Multiplexed Low Coverage Whole Genome Sequencing.

Authors:  Margaret Staton; Teodora Best; Sudhir Khodwekar; Sandra Owusu; Tao Xu; Yi Xu; Tara Jennings; Richard Cronn; A Kathiravetpilla Arumuganathan; Mark Coggeshall; Oliver Gailing; Haiying Liang; Jeanne Romero-Severson; Scott Schlarbaum; John E Carlson
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

7.  CENH3-GFP: a visual marker for gametophytic and somatic ploidy determination in Arabidopsis thaliana.

Authors:  Nico De Storme; Burcu Nur Keçeli; Linda Zamariola; Geert Angenon; Danny Geelen
Journal:  BMC Plant Biol       Date:  2016-01-05       Impact factor: 4.215

8.  PEG Induces High Expression of the Cell Cycle Checkpoint Gene WEE1 in Embryogenic Callus of Medicago truncatula: Potential Link between Cell Cycle Checkpoint Regulation and Osmotic Stress.

Authors:  Adel M Elmaghrabi; Hilary J Rogers; Dennis Francis; Sergio J Ochatt
Journal:  Front Plant Sci       Date:  2017-09-05       Impact factor: 5.753

9.  Multiparameter flow cytometry: advances in high resolution analysis.

Authors:  Erika A O'Donnell; David N Ernst; Ravi Hingorani
Journal:  Immune Netw       Date:  2013-04-30       Impact factor: 6.303

10.  A combined histology and transcriptome analysis unravels novel questions on Medicago truncatula seed coat.

Authors:  Jerome Verdier; Fabrice Dessaint; Charles Schneider; Mona Abirached-Darmency
Journal:  J Exp Bot       Date:  2012-11-03       Impact factor: 6.992

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