The search for factors limiting growth rate

Search for a factor limiting the growth rate is described the salmon fry taken as an example. A simple dependence between the specific growth rate and DNA content (of the nuclei) in muscles was found. Age changes in the growth rate are due to the fact that the appearance of new nuclei lags behind the growth of muscle cells. A few models were proposed on this basis which correspond to various growth types.     

Erythrocyte sedimentation rate of healthy subjects--chronological aspects

Thanks to an elaborated mathematical approach, based on statistics and signal processing, the chronological changes of the Erythrocyte Sedimentation Rate (ESR) of young healthy subjects, considered from a collective point of view, have been discriminated into genuine and well-defined rhythms.

These rhythms are tied up either to natural (year, season) or 'social' (month, week, holidays) cycles, or to some other causes, still unknown and possibly intrinsic (such is probably the case of a 26.5-day strongly marked period).

The solar induced time variation strictly obeys a frequency modulation law, the relative amplitude of which is 10 per cent. Two axes of symmetry are found, centred on 8 August and 8 February. The rhythm is roughly in accordance with seasons. The modulation frequency is maximum at summer time.

Oscillations of the ESR are observed during the week and the month. Fridays and the last fortnight of each month appear to be low ESR time.     

A generic mechanism for adaptive growth rate regulation

How can a microorganism adapt to a variety of environmental conditions despite the existence of a limited number of signal transduction mechanisms? We show that for any growing cells whose gene expression fluctuate stochastically, the adaptive cellular state is inevitably selected by noise, even without a specific signal transduction network for it. In general, changes in protein concentration in a cell are given by its synthesis minus dilution and degradation, both of which are proportional to the rate of cell growth. In an adaptive state with a higher growth speed, both terms are large and balanced. Under the presence of noise in gene expression, the adaptive state is less affected by stochasticity since both the synthesis and dilution terms are large, while for a nonadaptive state both the terms are smaller so that cells are easily kicked out of the original state by noise. Hence, escape time from a cellular state and the cellular growth rate are negatively correlated. This leads to a selection of adaptive states with higher growth rates, and model simulations confirm this selection to take place in general. The results suggest a general form of adaptation that has never been brought to light—a process that requires no specific mechanisms for sensory adaptation. The present scheme may help explain a wide range of cellular adaptive responses including the metabolic flux optimization for maximal cell growth.     

Combined use of growth rate correlated and growth rate independent promoters for recombinant glucoamylase production in Fusarium venenatum

Fusarium venenatum JeRS 325, a strain which produces recombinant glucoamylase under control of a growth rate independent promoter was transformed with a plasmid carrying the Aspergillus niger glucoamylase gene under control of its own growth rate correlated promoter. Some disruption of the original recombinant genes occurred and at pH 5.8 the double transformant did not produce as much glucoamylase as JeRS 325 in batch culture. However, the double transformant still produced as much glucoamylase as JeRS 325 in fed-batch cultures, illustrating the potential for the combined use of growth rate independent and dependent promoters to improve production of recombinant proteins in fed-batch culture systems.     

Measuring growth rate in high-throughput growth phenotyping

Growth rate is an important variable and parameter in biology with a central role in evolutionary, functional genomics, and systems biology studies. In this review the pros and cons of the different technologies presently available for high-throughput measurements of growth rate are discussed. Growth rate can be measured in liquid microcultivation of individual strains, in competition between strains, as growing colonies on agar, as division of individual cells, and estimated from molecular reporters. Irrespective of methodology, statistical issues such as spatial biases and batch effects are crucial to investigate and correct for to ensure low false discovery rates. The rather low correlations between studies indicate that cross-laboratory comparison and standardization are pressing issue to assure high-quality and comparable growth-rate data.