A proposal for the naming of N-glycosylation pathway components in Archaea
Bibliographic record
Abstract
To the Editor, In 1976, the long-held opinion that N-glycosylation was a trait restricted to eukaryotes was overturned when the surface-layer glycoprotein from the archaeon Halobacterium salinarum was shown to undergo such post-translational modification (Mescher and Strominger, 1976). Largely based on genomic studies, it is now believed that N-glycosylation is a common process in Archaea (Kaminski et al., 2013). Analysis of the limited number of characterized archaeal N-linked glycan reveals diversity in composition unparalleled in either eukaryal or bacterial N-glycosylation (Schwarz and Aebi, 2011; Eichler, 2013). Such variety is indicative of N-glycosylation in Archaea being largely mediated by different, species-specific pathways. Current biochemical descriptions of archaeal N-glycosylation systems support this claim (Jarrell et al., 2010; Eichler, 2013; Meyer and Albers, 2013). As such, it is essential that workers in the field adhere to a common nomenclature for the genes and proteins involved in the archaeal version of this post-translational modification. Indeed, by adopting an agreed upon naming system, some of the ambiguity plaguing the field of bacterial protein glycosylation might be avoided. For instance, although PglB, PglC, PglD, PglE and PglF all contribute to N-glycosylation in Campylobacter jejuni and O-glycosylation in Neisseria gonorrhoeae, proteins bearing the same name serve very different roles in each system (Linton et al., 2005; Aas et al., 2007). In 2006, Chaban et al. proposed the use of the abbreviation agl (for archaeal glycosylation) to identify genes involved in the archaeal version of N-glycosylation, along the guidelines for naming bacterial genes outlined in Demerec et al. (1966). Studies in Haloferax volcanii, Methanococcus voltae and Methanococcus maripaludis thus annotated proteins serving various N-glycosylation-related roles as AglA to AglZ (for review, see Eichler, 2013). More recently, however, additional genes encoding proteins implicated in Sulfolobus acidocaldarius N-glycosylation were annotated and published as agl1-agl4 and agl16 (Meyer et al., 2011, 2013). In this case, the nomenclature adopted is similar to that used for naming yeast genes, where a three letter abbreviation is followed by a number (Cherry et al., 2012). In the absence of an accepted set of rules for naming archaeal genes, we believe that the community would be best served by maintaining use of the agl/Agl abbreviation followed by a number for naming new archaeal N-glycosylation genes/proteins, given that all of the letters of the alphabet have already been used in this context. Indeed, given that archaeal N-glycosylation presents aspects of the both its bacterial and eukaryal counterparts (see Calo et al., 2010; Jarrell et al., 2010; Meyer and Albers, 2011), adopting a combination of bacterial and eukaryal nomenclature rules for naming genes involved in the archaeal version of this post-translational modification is fitting. By adopting an open-ended number-based system for naming novel archaeal N-glycosylation to be identified in the future, the enormous variety of genes/proteins responsible for the diversity seen in archaeal N-glycosylation could be nonetheless linked via the common agl abbreviation. At the same time, a shared N-glycosylation-related function would be assigned the same name in all species, as in the case of aglB, encoding the archaeal oligosaccharyltransferase. By the same logic, as the precise roles of Agl proteins become clear, components could be renamed with the first letter/number assigned that specific role. While such a naming strategy could result in a given archaeal species containing agl genes bearing widely spaced letters and/or numbers, it would allow for easy identification of similarities in N-glycosylation pathways that will likely prove to be otherwise largely species-specific. As members of the archaeal N-glycosylation research community, we propose that the agl-based nomenclature outlined above be adopted for annotating any relevant new genes and proteins identified. To facilitate such efforts, researchers are invited to visit the aglgenes website (www.bgu.ac.il/aglgenes), where an updated listing of agl sequences is provided.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".