Literature DB >> 7460884

Ontogeny of the barley plant as related to mutation expression and detection of pollen mutations.

A L Hodgdon, A H Marcus, P Arenaz, J L Rosichan, T P Bogyo, R A Nilan.   

Abstract

Clustering of mutant pollen grains in a population of normal pollen due to premeiotic mutational events complicates translating mutation frequencies into rates. Embryo ontogeny in barley will be described and used to illustrate the formation of such mutant clusters. The nature of the statistics for mutation frequency will be described from a study of the reversion frequencies of various waxy mutants in barley. Computer analysis by a "jackknife" method of the reversion frequencies of a waxy mutant treated with the mutagen sodium azide showed a significantly higher reversion frequency than untreated material. Problems of the computer analysis suggest a better experimental design for pollen mutation experiments. Preliminary work on computer modeling for pollen development and mutation will be described.

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Year:  1981        PMID: 7460884      PMCID: PMC1568640          DOI: 10.1289/ehp.81375

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  4 in total

1.  Sensitivity of premeiotic and meiotic stages to spontaneous and induced mutations in barley and maize.

Authors:  D Lingren
Journal:  Hereditas       Date:  1975       Impact factor: 3.271

2.  Design and analysis of experiments on mutagenicity. II. Assays involving microorganisms.

Authors:  A J Katz
Journal:  Mutat Res       Date:  1979-04       Impact factor: 2.433

3.  The estimation of mutation rates when premeiotic events are involved.

Authors:  W R Engels
Journal:  Environ Mutagen       Date:  1979

4.  Design and analysis of experiments on mutagenicity. I. Minimal sample sizes.

Authors:  A J Katz
Journal:  Mutat Res       Date:  1978-06       Impact factor: 2.433

  4 in total
  3 in total

1.  Pollen tetrads in the detection of environmental mutagenesis.

Authors:  D L Mulcahy
Journal:  Environ Health Perspect       Date:  1981-01       Impact factor: 9.031

2.  Measuring the frequency and distribution of meiotic crossovers in homozygous barley inbred lines.

Authors:  Miriam Schreiber; Yun-Yu Chen; Luke Ramsay; Robbie Waugh
Journal:  Front Plant Sci       Date:  2022-08-11       Impact factor: 6.627

3.  Physical mapping resources for large plant genomes: radiation hybrids for wheat D-genome progenitor Aegilops tauschii.

Authors:  Ajay Kumar; Kristin Simons; Muhammad J Iqbal; Monika Michalak de Jiménez; Filippo M Bassi; Farhad Ghavami; Omar Al-Azzam; Thomas Drader; Yi Wang; Ming-Cheng Luo; Yong Q Gu; Anne Denton; Gerard R Lazo; Steven S Xu; Jan Dvorak; Penny M A Kianian; Shahryar F Kianian
Journal:  BMC Genomics       Date:  2012-11-05       Impact factor: 3.969

  3 in total

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