Interdisciplinary approaches to predicting evolutionary biology

Crocker, Justin; Payne, Joshua L.; Walczak, Aleksandra M.; Wittkopp, Patricia J.

doi:10.1098/rstb.2022.0042

Cited by 1 publication

(2 citation statements)

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“…Newly emerged mutations can be detected in the genomes of evolving lines by comparing them with the original ancestral population [2]. Consequently, an unprecedented amount of empirical evolutionary information is available for analysis today [3].…”

Section: Introductionmentioning

confidence: 99%

“…Among other things, this includes preparation for the emergence of new pathogens, for the development of antibiotic resistance in pathogens, and for the selective destruction of therapy-evading cancer cells [4]. To study evolutionary processes in depth, various laboratories conduct massively parallel evolution experiments [3], primarily in microbial populations [4]. This direction has received the informal name "evolution-in-a-flask".…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamics of Podospora anserina Genome Evolution in a Long-Term Experiment

Kudryavtseva,

Gerasimov,

Glagoleva

et al. 2023

IJMS

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The Podospora anserina long-term evolution experiment (PaLTEE) is the only running filamentous fungus study, which is still going on. The aim of our work is to trace the evolutionary dynamics of the accumulation of mutations in the genomes of eight haploid populations of P. anserina. The results of the genome-wide analysis of all of the lineages, performed 8 years after the start of the PaLTEE, are presented. Data analysis detected 312 single nucleotide polymorphisms (SNPs) and 39 short insertion-deletion mutations (indels) in total. There was a clear trend towards a linear increase in the number of SNPs depending on the experiment duration. Among 312 SNPs, 153 were fixed in the coding regions of P. anserina genome. Relatively few synonymous mutations were found, exactly 38; 42 were classified as nonsense mutations; 72 were assigned to missense mutations. In addition, 21 out of 39 indels identified were also localized in coding regions. Here, we also report the detection of parallel evolution at the paralog level in the P. anserina model system. Parallelism in evolution at the level of protein functions also occurs. The latter is especially true for various transcription factors, which may indicate selection leading to optimization of the wide range of cellular processes under experimental conditions.

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Section: Introductionmentioning

confidence: 99%