Non-random distribution of macromolecules as driving forces for phenotypic variation

被引:18
|
作者
Jahn, Michael [1 ]
Guenther, Susanne [1 ]
Mueller, Susann [1 ]
机构
[1] UFZ Helmholtz Ctr Environm Res, Dept Environm Microbiol, D-04318 Leipzig, Germany
关键词
PLASMID COPY NUMBER; INORGANIC POLYPHOSPHATE; SUBPOPULATION-PROTEOMICS; QUANTITATIVE METHODS; POSITIVE FEEDBACK; ESCHERICHIA-COLI; E; COLI; PROTEIN; SEGREGATION; CHROMOSOME;
D O I
10.1016/j.mib.2015.04.005
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Clonal populations employ many strategies of diversification to deal with constraints. All these strategies result in the generation of different phenotypes with diverse functions. Events like cell division are major sources of phenotypic variability due to the unequal partitioning of cellular components. In this review we concentrate on passive and active mechanisms cells employ to distribute macromolecules between their offspring. Different types of segregation are described, addressing both metabolically pertinent molecules such as PHA/PHB or polyphosphates, and components that adversely affect cells by promoting aging, such as damaged protein complexes or extrachromosomal rDNA circles. We also refer to mechanisms generating plasmid copy number (PCN) variation between cells in a population, and how elaborate partitioning systems counteract partitioning errors and ensure equal distribution. Finally, we demonstrate how simple differences in chromosomal copy number determine the fate of a cell, in this case the effect of gene dosage on the onset of sporulation in Bacillus subtilis or on a functional trait in Sinorhizobium meliloti.
引用
收藏
页码:49 / 55
页数:7
相关论文
共 50 条
  • [21] Random and Non-Random Monoallelic Expression
    Chess, Andrew
    NEUROPSYCHOPHARMACOLOGY, 2013, 38 (01) : 55 - 61
  • [22] Non-random subcellular distribution of variant EKLF in erythroid cells
    Quadrini, Karen J.
    Gruzglin, Eugenia
    Bieker, James J.
    EXPERIMENTAL CELL RESEARCH, 2008, 314 (07) : 1595 - 1604
  • [23] Evidence for non-random distribution of Fcγ receptor genotype combinations
    van der Pol, WL
    Jansen, MD
    Sluiter, WJ
    van de Sluis, B
    Leppers-van de Straat, FGJ
    Kobayashi, T
    Westendorp, RGJ
    Huizinga, TWJ
    van de Winkel, JGJ
    IMMUNOGENETICS, 2003, 55 (04) : 240 - 246
  • [24] NON-RANDOM DISTRIBUTION OF BULL SPERMATOZOA IN A DROP OF SPERM SUSPENSION
    ROTHSCHILD
    NATURE, 1963, 198 (488) : 1221 - +
  • [25] Non-random distribution of weed species abundance in arable fields
    Borgy, B.
    Gaba, S.
    Petit, S.
    Reboud, X.
    WEED RESEARCH, 2012, 52 (04) : 383 - 389
  • [26] NON-RANDOM DISTRIBUTION OF BULL SPERMATOZOA IN A DROP OF SPERM SUSPENSION
    MAUDE, AD
    ROTHSCHILD
    NATURE, 1963, 200 (490) : 381 - +
  • [27] Non-Random Distribution of Reciprocal Translocation Breakpoints in the Pig Genome
    Donaldson, Brendan
    Villagomez, Daniel A. F.
    Revay, Tamas
    Rezaei, Samira
    King, W. Allan
    GENES, 2019, 10 (10)
  • [28] THE OVERLAP DISTRIBUTION FOR A NON-RANDOM FRUSTRATED ISING-MODEL
    NACHTERGAELE, B
    SLEGERS, L
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 1988, 21 (02): : 529 - 537
  • [29] NON-RANDOM DISTRIBUTION OF SENILE PLAQUES IN CEREBRAL-CORTEX
    KIRKPATRICK, JB
    JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 1985, 44 (03): : 331 - 331
  • [30] Random and Non-Random Monoallelic Expression
    Andrew Chess
    Neuropsychopharmacology, 2013, 38 : 55 - 61