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One possibility is that a cell intrinsic program in Ngn3+ progenitor cells regulates the temporal order of generation of differentiated endocrine cell types.
This procedure ensures that a PID contains neither information on the original IDAT nor on the order of generation, i.e. two instances with different values for the keys produce PIDs in a different order even if the same data is entered.
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For the sake of completeness: The first object in the order of the generation of confused knowledge is the species specialissima, or the concept of being, in the case of the generation of distinct knowledge.
The sender uses the keys in the reverse order of their generation, that is, starting with in interval 1, followed by in interval 2, and so on.
The temporal order of the generation of the Kenyon cells is reflected in the organization of the axons in the larval peduncle and lobes, in which the axons of newly born neurons first project into the center (the core) and then shift to the peripheral layers, as they mature [28].
For the demographic models considered here, tMRCA for a pair of chromosomes is on the order of 15,000 generations, and thus the very recent growth starting only 400 generations ago can lead only to a relatively small increase (File S1).
However, the expected rate at which this would occur is on the order of 1/μ generations [ 21], where μ is the mutation rate towards lacI-mutants, which is ~1.10-6 ~1.10-6l per generation [ 22].
For Drosophila melanogaster, with μ ≈ 2 × 10-9 [ 33] and N ≈ 10, the resulting T s is of the order of 106 generations or 105 years even for sites with a relatively small selection coefficient s = 10-3.
For extinction times on the order of 30 generations, as commonly observed in our model, the probability of restoration would be <5% as long as μ < 0.001/ n, which is plausible except in very large populations.
In the classical specific-locus method, mutants are detected by their phenotypes following limited growth (on the order of 30 generations) starting with a number of small, mutant-free populations, and the presumed target loci are then sequenced.
Notwithstanding its convenience in terms of data availability, yeast is not optimal for studying subfunctionalization due to its large effective population size, M. Following duplication, neutral (possibly subfunctionalized) alleles take in the order of M generations to reach fixation, thus we would expect the incidence of subfunctionalization to be lower when M is large.
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