paper-with-me

홈 › Papers

The mysterious orphans of Mycoplasmataceae

2015-08-24

Background: The length of a protein sequence is largely determined by its function, i.e. each functional group is associated with an optimal size. However, comparative genomics revealed that proteins length may be affected by additional factors. In 2002 it was shown that in bacterium Escherichia coli and the archaeon Archaeoglobus fulgidus, protein sequences with no homologs are, on average, shorter than those with homologs. Most experts now agree that the length distributions are distinctly different between protein sequences with and without homologs in bacterial and archaeal genomes. In this study, we examine this postulate by a comprehensive analysis of all annotated prokaryotic genomes and focusing on certain exceptions. Results: We compared lengths distributions of having homologs proteins (HHPs) and non-having homologs proteins (orphans or ORFans) in all currently annotated completely sequenced prokaryotic genomes. As expected, the HHPs and ORFans have strikingly different length distributions in almost all genomes. As previously established, the HHPs, indeed, are, on average, longer than the ORFans, and the length distributions for the ORFans have a relatively narrow peak, in contrast to the HHPs, whose lengths spread over a wider range of values. However, about thirty genomes do not obey these rules. Practically all genomes of Mycoplasma and Ureaplasma have atypical ORFans distributions, with the mean lengths of ORFan larger than the mean lengths of HHPs. These genera constitute over 80% of atypical genomes. Conclusions: We confirmed on a ubiquitous set of genomes the previous observation that HHPs and ORFans have different gene length distributions. We also showed that Mycoplasmataceae genomes have distinctive distributions of ORFans lengths. We offer several possible biological explanations of this phenomenon.

📄 PDF Abstract BibTeX arXiv:1508.05991

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

The Mysterious Letter J

2013-09-01 · WS 2013 9 · Andjelka Ze{\v{c}}evi{\'c}, Sta{\v{s}}a Vuji{\v{c}}i{\'c} Stankovi{\'c}
Information RetrievalLanguage IdentificationMachine Translation

Deep Learning is Not So Mysterious or Different

2025-03-03 · Andrew Gordon Wilson

Deep neural networks are often seen as different from other model classes by defying conventional notions of generalization. Popular examples of anomalous generalization behaviour include benign overfitting, double desce…

Deep LearningRepresentation Learning

Florigens and antiflorigens: a molecular genetic understanding

2015-09-21

Florigens, the leaf-derived signals that initiate flowering, have been described as mysterious, elusive and the Holy Grail of plant biology.

Prof. Schönhage's Mysterious Machines

2021-08-19 · J. -M. Chauvet

We give a simple Sch\"onhage Storage Modification Machine that simulates one iteration of the Rule 110 cellular automaton. This provides an alternative construction to Sch\"onhage's original proof of the Turing completen…

Cell-size maintenance: universal strategy revealed

2015-03-31

How cells maintain a stable size has fascinated scientists since the beginning of modern biology, but has remained largely mysterious. Recently, however, the ability to analyze single bacteria in real time has provided n…