TY - JOUR
T1 - Structure prediction of honey bee vitellogenin
T2 - a multi-domain protein important for insect immunity
AU - Leipart, Vilde
AU - Montserrat-Canals, Mateu
AU - Cunha, Eva S.
AU - Luecke, Hartmut
AU - Herrero-Galán, Elías
AU - Halskau, Øyvind
AU - Amdam, Gro V.
N1 - Funding Information:
We thank Eivind Fjeldstad for his valuable guidance for running AlphaFold. The authors acknowledge The Research Council of Norway grant number 262137 for funding toward running costs and positions. MM-C is supported by an H2020 MSCA International Training Network, ESC by an H2020 MSCA Individual Fellowship, HL by NCMM core funding. The FP7 WeNMR (project# 261572), H2020 West-Life (project# 675858), and the EOSC-hub (project# 777536) European e-Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure with the dedicated support of CESNET-MetaCloud, INFN-PADOVA, NCG-INGRID-PT, TW-NCHC, SURFsara, and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, the Netherlands, Poland, Portugal, Spain, UK, Taiwan, and the US Open Science Grid. Molecular graphics and analyses performed with ucsf chimera, developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH P41-GM103311. The authors acknowledge BioCat (RCN grant number 249023) for travel grants and conferences support.
Funding Information:
We thank Eivind Fjeldstad for his valuable guidance for running AlphaFold. The authors acknowledge The Research Council of Norway grant number 262137 for funding toward running costs and positions. MM‐C is supported by an H2020 MSCA International Training Network, ESC by an H2020 MSCA Individual Fellowship, HL by NCMM core funding. The FP7 WeNMR (project# 261572), H2020 West‐Life (project# 675858), and the EOSC‐hub (project# 777536) European e‐Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure with the dedicated support of CESNET‐MetaCloud, INFN‐PADOVA, NCG‐INGRID‐PT, TW‐NCHC, SURFsara, and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, the Netherlands, Poland, Portugal, Spain, UK, Taiwan, and the US Open Science Grid. Molecular graphics and analyses performed with ucsf chimera , developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH P41‐GM103311. The authors acknowledge BioCat (RCN grant number 249023) for travel grants and conferences support.
Publisher Copyright:
© 2021 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies
PY - 2022/1
Y1 - 2022/1
N2 - Vitellogenin (Vg) has been implicated as a central protein in the immunity of egg-laying animals. Studies on a diverse set of species suggest that Vg supports health and longevity through binding to pathogens. Specific studies of honey bees (Apis mellifera) further indicate that the vitellogenin (vg) gene undergoes selection driven by local pathogen pressures. Determining the complete 3D structure of full-length Vg (flVg) protein will provide insights regarding the structure–function relationships underlying allelic variation. Honey bee Vg has been described in terms of function, and two subdomains have been structurally described, while information about the other domains is lacking. Here, we present a structure prediction, restrained by experimental data, of flVg from honey bees. To achieve this, we performed homology modeling and used AlphaFold before using a negative-stain electron microscopy map to restrict, orient, and validate our 3D model. Our approach identified a highly conserved Ca2+-ion-binding site in a von Willebrand factor domain that might be central to Vg function. Thereafter, we used rigid-body fitting to predict the relative position of high-resolution domains in a flVg model. This mapping represents the first experimentally validated full-length protein model of a Vg protein and is thus relevant for understanding Vg in numerous species. Our results are also specifically relevant to honey bee health, which is a topic of global concern due to rapidly declining pollinator numbers.
AB - Vitellogenin (Vg) has been implicated as a central protein in the immunity of egg-laying animals. Studies on a diverse set of species suggest that Vg supports health and longevity through binding to pathogens. Specific studies of honey bees (Apis mellifera) further indicate that the vitellogenin (vg) gene undergoes selection driven by local pathogen pressures. Determining the complete 3D structure of full-length Vg (flVg) protein will provide insights regarding the structure–function relationships underlying allelic variation. Honey bee Vg has been described in terms of function, and two subdomains have been structurally described, while information about the other domains is lacking. Here, we present a structure prediction, restrained by experimental data, of flVg from honey bees. To achieve this, we performed homology modeling and used AlphaFold before using a negative-stain electron microscopy map to restrict, orient, and validate our 3D model. Our approach identified a highly conserved Ca2+-ion-binding site in a von Willebrand factor domain that might be central to Vg function. Thereafter, we used rigid-body fitting to predict the relative position of high-resolution domains in a flVg model. This mapping represents the first experimentally validated full-length protein model of a Vg protein and is thus relevant for understanding Vg in numerous species. Our results are also specifically relevant to honey bee health, which is a topic of global concern due to rapidly declining pollinator numbers.
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U2 - 10.1002/2211-5463.13316
DO - 10.1002/2211-5463.13316
M3 - Article
C2 - 34665931
AN - SCOPUS:85118265991
SN - 2211-5463
VL - 12
SP - 51
EP - 70
JO - FEBS Open Bio
JF - FEBS Open Bio
IS - 1
ER -