Literature DB >> 19799172

Interaction of genetic and environmental factors in Saccharomyces cerevisiae meiosis: the devil is in the details.

Victoria E Cotton1, Eva R Hoffmann, Mohammed F F Abdullah, Rhona H Borts.   

Abstract

One of the most important principles of scientific endeavour is that the results be reproducible from lab to lab. Although research groups rarely redo the published experiments of their colleagues, research plans almost always rely on the work of someone else. The assumption is that if the same experiment were repeated in another lab, results would be so similar that the same interpretation would be favoured. This notion allows one researcher to compare his/her own results to earlier work from other labs. An essential prerequisite for this is that the experiments are done in identical conditions and therefore the methodology must be clearly stated. While this may be scientific common sense, adherence is difficult because "standard" methods vary from one laboratory to another in subtle ways that are often not reported. More importantly, for many years the field ofyeast meiotic recombination considered typical differences to be innocuous. This chapter will highlight the documented environmental and genetic variables that are known to influence meiotic recombination in Saccharomyces cerevisiae. Other potential methodological sources of variation in meiotic experiments are also discussed. A careful assessment of the effects of these variables, has led to insights into our understanding of the control of recombination and meiosis.

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Year:  2009        PMID: 19799172     DOI: 10.1007/978-1-59745-527-5_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  14 in total

1.  A two-pathway analysis of meiotic crossing over and gene conversion in Saccharomyces cerevisiae.

Authors:  Franklin W Stahl; Henriette M Foss
Journal:  Genetics       Date:  2010-08-02       Impact factor: 4.562

2.  High-Resolution Global Analysis of the Influences of Bas1 and Ino4 Transcription Factors on Meiotic DNA Break Distributions in Saccharomyces cerevisiae.

Authors:  Xuan Zhu; Scott Keeney
Journal:  Genetics       Date:  2015-08-05       Impact factor: 4.562

3.  Comparative linkage mapping in the white button mushroom Agaricus bisporus provides foundation for breeding management.

Authors:  Marie Foulongne-Oriol; Rémi Dufourcq; Cathy Spataro; Christine Devesse; Aurélien Broly; Anne Rodier; Jean-Michel Savoie
Journal:  Curr Genet       Date:  2010-11-03       Impact factor: 3.886

4.  Distinct regulation of Mlh1p heterodimers in meiosis and mitosis in Saccharomyces cerevisiae.

Authors:  Victoria E Cotton; Eva R Hoffmann; Rhona H Borts
Journal:  Genetics       Date:  2010-04-09       Impact factor: 4.562

5.  Scale matters: the spatial correlation of yeast meiotic DNA breaks with histone H3 trimethylation is driven largely by independent colocalization at promoters.

Authors:  Sam E Tischfield; Scott Keeney
Journal:  Cell Cycle       Date:  2012-04-15       Impact factor: 4.534

6.  Exploiting spore-autonomous fluorescent protein expression to quantify meiotic chromosome behaviors in Saccharomyces cerevisiae.

Authors:  Drew Thacker; Isabel Lam; Michael Knop; Scott Keeney
Journal:  Genetics       Date:  2011-08-11       Impact factor: 4.562

7.  Adaptive Control of the Meiotic Recombination Landscape by DNA Site-dependent Hotspots With Implications for Evolution.

Authors:  Reine U Protacio; Mari K Davidson; Wayne P Wahls
Journal:  Front Genet       Date:  2022-06-22       Impact factor: 4.772

8.  The roles of the Saccharomyces cerevisiae RecQ helicase SGS1 in meiotic genome surveillance.

Authors:  Amit Dipak Amin; Alexandre B H Chaix; Robert P Mason; Richard M Badge; Rhona H Borts
Journal:  PLoS One       Date:  2010-11-09       Impact factor: 3.240

9.  On Spo16 and the coefficient of coincidence.

Authors:  Franklin W Stahl; Henriette M Foss
Journal:  Genetics       Date:  2008-11-10       Impact factor: 4.562

10.  Tetrad analysis in plants and fungi finds large differences in gene conversion rates but no GC bias.

Authors:  Haoxuan Liu; Ju Huang; Xiaoguang Sun; Jing Li; Yingwen Hu; Luyao Yu; Gianni Liti; Dacheng Tian; Laurence D Hurst; Sihai Yang
Journal:  Nat Ecol Evol       Date:  2017-11-20       Impact factor: 15.460

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