Cotranslational assembly imposes evolutionary constraints on homomeric proteins
Jonathan TS Hopper,
Joseph A Marsh,
Adrian H Elcock,
M. Madan Babu,
Carol V Robinson,
Sarah A Teichmann
Posted 13 Sep 2016
bioRxiv DOI: 10.1101/074963 (published DOI: 10.1038/s41594-018-0029-5)
Posted 13 Sep 2016
There is increasing evidence that some proteins fold during translation, i.e. cotranslationally, which implies that partial protein function, including interactions with other molecules, could potentially be unleashed early on during translation. Although little is known about cotranslational assembly mechanisms, for homomeric protein complexes, translation by the ribosome, folding and assembly, should be well-coordinated to avoid misassembly in the context of polysomes. We analysed 3D structures of homomers and identified a statistically significant trend conserved across evolution that supports this hypothesis: namely that homomeric contacts tend to be localized towards the C-terminus rather than N-terminus of homomeric polypeptide chains. To probe this in more detail, we expressed a GFP-based library of 611 homomeric E. coli genes, and analyzing their folding and assembly in vivo. Consistent with our hypothesis, interface residues tend to be located near the N-terminus in cotranslationally aggregating homomers. In order to dissect the mechanisms of folding and assembly under controlled conditions, we engineered a protein library with three variable components: (i) the position and type homomerization domain, (ii) the reporter domain and (iii) the linker length that connects the two. By analyzing the misassembly rates of these engineered constructs in vivo, in vitro and in silico, we confirmed our hypothesis that C-terminal homomerization is favorable to N-terminal homomerization. More generally, these results provide a set of spatiotemporal constraints within polypeptide chains that favor efficient assembly, with implications for protein evolution and design.
- Downloaded 662 times
- Download rankings, all-time:
- Site-wide: 22,367 out of 92,034
- In cell biology: 987 out of 4,735
- Year to date:
- Site-wide: 60,406 out of 92,034
- Since beginning of last month:
- Site-wide: 72,537 out of 92,034
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!