Literature DB >> 34532764

Detection and evolution of SARS-CoV-2 coronavirus variants of concern with mass spectrometry.

Christian Mann1, Justin H Griffin1, Kevin M Downard2.   

Abstract

Mass mapping using high-resolution mass spectrometry has been applied to identify and rapidly distinguish SARS-CoV-2 coronavirus strains across five major variants of concern. Deletions or mutations within the surface spike protein across these variants, which originated in the UK, South Africa, Brazil and India (known as the alpha, beta, gamma and delta variants respectively), lead to associated mass differences in the mass maps. Peptides of unique mass have thus been determined that can be used to identify and distinguish the variants. The same mass map profiles are also utilized to construct phylogenetic trees, without the need for protein (or gene) sequences or their alignment, in order to chart and study viral evolution. The combined strategy offers advantages over conventional PCR-based gene-based approaches exploiting the ease with which protein mass maps can be generated and the speed and sensitivity of mass spectrometric analysis.
© 2021. Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Coronavirus; Evolution; Mass spectrometry; SARS-CoV-2; Variants; Virus

Mesh:

Year:  2021        PMID: 34532764      PMCID: PMC8445501          DOI: 10.1007/s00216-021-03649-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


Introduction

While the emergence of SARS-CoV-2 in late 2019 was followed by a period of relative evolutionary stasis [1], new variants caused by mutations in the viral proteins of the SARS-CoV-2 coronavirus are now taking hold as the virus spreads throughout the world’s population [2]. Many mutations are deleterious or neutral in terms of the virus’ transmissibility and infectivity, yet other non-synonymous mutations in genes that encode viral proteins have helped the virus to spread and cause more sustained and greater disease severity [3]. In the past 12 months, the emergence of sets of mutations in “variants of concern” strains [4] have been identified. These impact the virus’ transmissibility and antigenicity in response to a changing immune profile within the human population post-vaccination. Identifying and understanding the evolution of such variants is of paramount importance to control the virus through patient isolation and for the development of effective new vaccines and therapies [5]. Particular focus has concerned the surface or spike protein (S-protein) given its role in binding to the host’s angiotensin-converting enzyme 2 (ACE2) receptors to initiate infection. Following the early emergence of the D614G [6], the N501Y mutation was among the first identified within the receptor-binding domain (RBD) that allowed the virus to bind more tightly to ACE2 receptors, in cells and animal models, to improve its transmissibility [7]. Variants of concern possess a range of such mutations in the spike protein. Epidemiological data suggest that the Alpha B.1.1.7 variant, a descendant of the lineage containing the D614G mutation first identified in the UK that spread to other parts of the world, has heightened transmissibility. It also contains Δ69–70, an amino-terminal domain (NTD) deletion, which is predicted to alter the conformation of an exposed NTD loop region associated with increased infectivity [8]. Of all the RBD residues which have affected immune recognition, the mutation of E484 first identified in the South African beta B.1.351 variant is of principal importance. Changes at this residue to K, Q or P all have been shown to reduce neutralization titres by more than an order of magnitude [9]. The more recent Indian delta B.1.617 variant also contains this mutation in addition to L452R and T478K, the latter improving viral entry. The delta variant is considered to be 55% more transmissible (WHO) and twice as infectious as earlier alpha variants. Consequently, within only a few months since May 2021, the delta variant has rapidly spread around the world and is now the dominant strain in many countries. Methods to rapidly detect and monitor the evolution of virus strains are of vital importance. Mass spectrometry is particularly suited to the analysis of viral proteins and their peptide segments and offers a viable and complementary alternative [10] to conventional gene-based sequencing strategies [11]. It has been demonstrated that MALDI-MS approaches, in particular, offer advantages in terms of the speed and sensitivity of analysis where viral proteins are best first isolated and then digested [12]. Subsequent mass maps can then be used to confidently identify SARS-CoV-2 coronavirus, given that direct swab analyses of specimens detect a whole range of host contaminants and residuals which both hamper and can even prevent virus detection [10]. Here, we employ high-resolution mass spectrometry to study and distinguish strains for the major variants of concern stains using isolates or viral proteins thereof using mass signatures. This work stems from our previous work to detect, type and subtype and distinguish respiratory viruses [10, 12–17] including SARS-CoV-2 [12], employing high-resolution mass spectrometry using signature peptides. This current study also demonstrates how such mass spectrometry data can also be used in the construction of phylogenetic trees [18, 19], analogous to those derived using gene sequence data, to chart viral evolution [20].

Materials and methods

Recovery of S-protein from virus specimen

Clinical specimens collected from infected patients containing SARS-CoV-2 were grown in cell culture using Vero E6 cells following a reported procedure [21] and, as used in a previous study [12], were the source of an originating-like strain. Following chemical and heat inactivation and filtration, the virus was precipitated with polyethylene glycol precipitation of virus was performed after filtration through a 300-K molecular weight cut-off (MWCO) filter (Pall Corporation, Cheltenham, Victoria). The retentate was reconstituted in buffer (50 mM ammonium bicarbonate), sonicated (3 × 30 min) and then deglycosylated following the addition of 1.2 units of recombinant peptide-N-glycosidase F (PNGaseF) (Roche Diagnostics, North Ryde, Sydney, Australia) and 5 mM octyl β-D-glucopyranoside (Sigma Aldrich–Merck, Castle Hill, Sydney, Australia). The released viral proteins were separated by SDS-PAGE and the S-protein (at some 150 kDa) was excised from the gel. The gel plug was transferred into 25 mM ammonium bicarbonate solution containing 10% v/v acetonitrile (ACN) and 10 mM dithiothreitol (DTT) (10 mM) and heated for 30 min at 60 °C. The gel plug was washed three times with 25 mM ammonium bicarbonate in 50% acetonitrile and then dried in a vacuum concentrator (Labconco Corporation, Kansas City, MI, USA).

S-protein digestion

Gel recovered S-protein or recombinant forms for several SARS-CoV-2 variants (UK, South Africa, India and Brazil) (Acro Biosystems, Newark, DE USA) were reconstituted in 100 μL digestion buffer (50 mM ammonium bicarbonate, 10% acetonitrile, 2 mM dithiothreitol) incubated for 2 h at 37 °C and digested overnight following the successive addition of 1 μL each of proteomics-grade trypsin and sequencing-grade endoproteinase GluC (Merck, Bayswater VIC, Australia) 4 h apart.

High-resolution MALDI-FT-ICR mass spectrometry

Solutions of viral peptides (1 μL) were diluted with a solution (5 μL) of matrix (5 mg/mL α-cyano-4-hydroxycinnaminic acid in 50% acetonitrile with 0.1% trifluoroacetic acid). Solution volumes of 1 μL were spotted onto a matrix-assisted laser desorption ionization (MALDI) sample plate and analysed on a Bruker (Bruker Daltonics, Preston Victoria, Australia) Fourier-transform ion cyclotron resonance (FT-ICR) 7 Tesla mass spectrometer [12, 17]. Spectra were acquired over a mass-to-charge ratio range of m/z 400–4000 using a broadband excitation. The instrument was calibrated externally with a standard peptide mixture and the S-protein tryptic + GluC peptides were identified based on the reported sequences for the S-proteins obtained from the NCBI protein database (QHD43416.1) or supplier (Acro Biosystems, Newark, DE USA). Peptides were matched to predicted proteolytic products generated in silico using the Expasy PeptideMass tool (https://web.expasy.org/peptide_mass/).

Mass tree construction

A mass tree was built from the masses for the proteolytic peptides generated upon digestion of the S-protein for the originating-like strain and major variants (UK, South Africa, India and Brazil) using the modified version [20] of the original algorithm [18]. The MassTree algorithm identifies mass values that are indistinguishable (within a mass error of 5 ppm) across the sets. A distance matrix is then generated through pairwise comparison of mass values across all datasets adopting a relaxed neighbour joining (NJ) approach [22] using the Clearcut algorithm [23]. The tree was visualized using the FigTree algorithm v1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/) and rooted to the originating-like strain.

Sequence tree construction

The sequence tree was built from residues 16–1213 derived for the originating strain (NCBI protein database entry QHD43416.1) and those for the recombinant variants (Acro Biosystems, Newark, DE USA) using the online Phylogeny.fr algorithm in the a la carte mode adopting a ClustalW alignment, Gblocks curation and a common neighbour joining (NJ) tree building approach to the MassTree algorithm. The tree was rooted to the originating strain and visualized with the FigTree algorithm v1.4.4 as above.

Results and discussion

The full-length spike protein sequence from the original strain of SARS-CoV-2 (NCBI protein database entry QHD43416.1) is over 141 kDa. It comprises both S1 receptor-binding and S2 fusion subunits that are formed by cleavage of the polyprotein at residues 682–685 with furin-like enzymes. Given that large segments exceeding 6 kDa are generated from its digestion with trypsin alone, the protein was digested in silico with both trypsin and endoproteinase GluC (pH 8). Segments across the S1 and S2 subunits, which contain mutations present in each of the five major variants of concern, are shown in Table 1. Their mass-to-charge (m/z) range from 134 to 2868 are within the acquisition range of most MALDI-based instruments, and most peptides contain only a single mutation site which is also desirable for mass-based phyogenetics [24].
Table 1

Original coronavirus reference strain and tryptic and GluC proteolytic segments that contain sites of mutations in surface spike protein within five major variants of concern

LineageStrainoriginSites of mutations in major variantsTryptic + GluC segmentaSequenceaMass [M + H]+ mono.
ReferenceWuhan, ChinaL18 or T19 or T201–21MFVFLVLLPLVSSQCVNLTTR2380.3132
P2622–34TQLPPAYTNSFTR1495.7540
HV del 69–7054–77LFLPFFSNVTWFHAIHVSGTNGTK2720.3984
D8079–80FD281.1132
T9589–96GVYFASTE873.3990
D138133–138FQFCND773.2923
G142 or Y del 144139–147PFLGVYYHK1123.5935
E154151–154SWME552.2123
R158 or del 156–157155–158SEFR538.2620
R190188–190NLR402.2460
D215215D134.0448
242–244 del. or R246I238–246FQTLLALHR1098.6419
K417N409–417QIAPGQTGK899.4946
L452429–453FTGCVIAWNSNNLD1553.7053
T478 + E484472–484IYQAGSTPCNGVE1338.5995
N501499–504STNLVK661.3880
A570569–571IAD318.1660
D614587–614ITPCSFGGVSVITPGTNTSNQVAVLYQD2868.4084
H655655–661HVNNSYE862.3690
P681664–682IPIGAGICASYQTQTNSPR1976.9859
A701686–702SVASQSIIAYTMSLGAE1727.8521
T716703–725NSVAYSNNSIAIPTNFTISVTTE2443.1988
D950948–950LQD375.1875
S982979–982ILSR488.3192
T10271019–1028ASANLAATK846.4680
D11181112–1118PQIITTD787.4197
V11761169–1181ISGINASVVNIQK1342.7689

aBased on NCBI protein database sequence QHD43416.1

Original coronavirus reference strain and tryptic and GluC proteolytic segments that contain sites of mutations in surface spike protein within five major variants of concern aBased on NCBI protein database sequence QHD43416.1 The same sequence was modified to insert (or delete) mutations for the five major variants of concern and similar proteolytic segments containing these mutations are shown in Table 2. It is clear from Table 2 that many peptide segments are unique to each variant and accordingly have distinct masses. This enables the variants to be distinguished when any one or more of them are detected within a mass spectrum. In this regard, the few with mass values below m/z 500 that are frequently detected among a matrix ion background in the low mass region of a MALDI spectrum, or that are deflected using a cut-off filter during such analyses, are shown bracketed and not considered further. All others are distinguishable within a mass error of 83 ppm or greater from all both trypsin and endoproteinase GluC peptides of the original spike protein sequence across all segments even when missed cleaved sites and the oxidation of methionine residues are considered (see Table 2 footnote). This mass error is easily achieved with high and even mid-resolution mass spectrometers.
Table 2

Major coronavirus variants of concern, mutation sites in surface spike protein and unique peptide masses that distinguish such strains

LineageOriginMutationsTryptic + GluC segmentaSequence (mutations shown underlined, except deletions)bMass [M + H]+ mono.Strain distinguishing peptide massesc
B.1.17 (Alpha)UKHV69–70 del.54–77 minus 69–70LFLPFFSNVTWFHAISGTNGTK2484.27112484.2711
Y144 del.139–147 minus 144PFLGVYHK960.5302960.5302
N501Y499–504STYLVK710.4084
A570D569–570ID247.1289(247.1289)
D614G587–619ITPCSFGGVSVITPGTNTSNQVAVLYQGVNCTE3356.6138
P681H664–682IPIGAGICASYQTQTNSHR2016.99202016.9920
T716I703–725NSVAYSNNSIAIPINFTISVTTE2455.23522455.2352
S982A979–982ILAR472.3242(472.3242)
D1118H1112–1127PQIITTHNTFVSGNCD1746.81161746.8116
B.1.351 (Beta)South AfricaL18F1–21MFVFLVLLPLVSSQCVNFTTR2414.2975
D80A79–88FANPVLPFND1133.56261133.5626
D215G215–224GLPQGFSALE1018.52041018.5204
LAL 242–244 del.238–246 minus 242–244FQTLHR801.4366801.4366
R246I238–253FQTLLALHISYLTPGD1788.95311788.9531
K417N409–419QIAPGQTGNIAD1184.59061184.5906
E484K472–484IYQAGSTPCNGVK1337.65191337.6519
N501Y499–504STYLVK710.4084
D614G587–619ITPCSFGGVSVITPGTNTSNQVAVLYQGVNCTE3356.6138
A701V686–702SVASQSIIAYTMSLGVE1755.88341755.8834
B.1.617 (Delta)IndiaT95I89–96GVYFASIE885.4353885.4353
G142D139–142PFLD491.2501
E154K151–154SWMK551.2647551.2647
L452R429–452FTGCVIAWNSNNR1481.6955
E484Q472–509IYQAGSTPCNGVQGFNCYFPLQSYGFQPTNGVGYQPYR4221.92224221.9222
D614G587–619ITPCSFGGVSVITPGTNTSNQVAVLYQGVNCTE3356.6138
P681R664–681IPIGAGICASYQTQTNSR1879.9331
B.1.617.2 (Delta plus)IndiaT19R1–19MFVFLVLLPLVSSQCVNLR2178.21782178.2178
G142D139–142PFLD491.2501
EF156–157 del.155–158 minus 156–157SR262.1510(262.1510)
R158G154–169SEFGVYSSANNCTFE1654.66901654.6690
L452R429–452FTGCVIAWNSNNR1481.6955
T478K472–478IYQAGSK766.4094766.4094
D614G587–619ITPCSFGGVSVITPGTNTSNQVAVLYQGVNCTE3356.6138
P681R664–681IPIGAGICASYQTQTNSR1879.9331
D950N948–964LQNVVNQNAQALNTLVK1867.03961867.0396
P.1 (Gamma)BrazilL18F1–21MFVFLVLLPLVSSQCVNFTTR2414.2975
T20N1–21MFVFLVLLPLVSSQCVNLTNR2393.30842393.3084
P26S22–34TQLPSAYTNSFTR1485.73331485.7333
D138Y133–147FQFCNYPFLGVYYHK1925.90431925.9043
R190S188–191NLSE462.2195(462.2195)
K417T409–420QIAPGQTGTIAD1171.59541171.5954
E484K472–484IYQAGSTPCNGVK1337.65191337.6519
N501Y499–504STYLVK710.4084710.4084
D614G587–619ITPCSFGGVSVITPGTNTSNQVAVLYQGVNCTE3356.6138
H655Y655–661YVNNSYE888.3734888.3734
T1027I1019–1028ASANLAAIK858.5044858.5044
V1176F1169–1181ISGINASFVNIQK1390.76891390.7689

aResidue numbering is based on the originating strain and may differ in some variants due to the presence of deletion sites

bAll strain distinguishing peptides do not contain proline (F817P, A892P, A899P, A942P, K986P, V987P) or alanine substitutions (R683A and R685A) added to the recombinant forms for the variants introduced to stabilize the S-protein trimer

cThose with masses lower than 500 are bracketed since they typically appear among matrix background ions in MALDI mass spectra. All other peptides differ in mass by at least 83 ppm, as is the case for mass 1133.5626 and that of 1133.6565 for missed cleaved peptide 821–830 (of sequence LLFNKVTLAD) for the spike protein of the original reference strain

Major coronavirus variants of concern, mutation sites in surface spike protein and unique peptide masses that distinguish such strains aResidue numbering is based on the originating strain and may differ in some variants due to the presence of deletion sites bAll strain distinguishing peptides do not contain proline (F817P, A892P, A899P, A942P, K986P, V987P) or alanine substitutions (R683A and R685A) added to the recombinant forms for the variants introduced to stabilize the S-protein trimer cThose with masses lower than 500 are bracketed since they typically appear among matrix background ions in MALDI mass spectra. All other peptides differ in mass by at least 83 ppm, as is the case for mass 1133.5626 and that of 1133.6565 for missed cleaved peptide 821–830 (of sequence LLFNKVTLAD) for the spike protein of the original reference strain High-resolution MALDI mass spectra were recorded for the doubly digested protein extricated from laboratory-grown virus or recombinantly expressed in the case of highly transmissible variants given that the strains themselves require specialized containment facilities. The latter protein variants all contain a ten residue C-terminal histidine tag and additional proline and alanine substitutions to stabilize the trimeric prefusion state of the protein. All of the substitutions fall outside of the variant-specific peptides (see Table 2 footnote). The high-resolution MALDI spectrum for the S-protein extricated from a laboratory grown strain [12] (Fig. 1) shows the presence of 17 proteolytic peptides with whose masses all fall within 1.5 ppm of those predicted sequence with a mass resolution of 109,515 (FWHM) measured at ions m/z 1206.6671 (Fig. 1 insert). The combined segments (Table 3) span 253 of a total of 1273 residues, or 20% of the protein, consistent with typical reported coverage levels [12]. Most peptides represent complete cleavage products and six (in bold in Table 3) contain regions that allow major SARS-CoV-2 variants to be distinguished based on the data of Table 2.
Fig. 1

High-resolution MALDI mass spectra for the doubly digested (trypsin + GluC) S-protein extricated from laboratory grown virus. Peaks labelled in bold represent regions containing mutations in major variants of concern

Table 3

Tryptic + GluC peptide ions detected for spike protein from lab grown specimen, their sequences and location

m/z (mono.)experimentalm/z (mono.)theoreticalDifference (ppm)ResiduesaSequenceDomainb
846.4690846.4680+ 1.21020–1028ASANLAATKS2 undefined
1045.46501045.4659− 0.9390–398LCFTNVYADS1 subunit receptor-binding domain (RBD)
1139.60011139.5996+ 0.4559–567FLPFQQFGRS1 undefined
1206.66711206.6663+ 0.7517–528LLHAPATVCGPKS1 subunit receptor-binding domain (RBD)—partial
1234.50521234.5045+ 0.6159–169VYSSANNCTFES1 subunit N-terminal domain (NTD)
1290.69851290.6974+ 0.7726–737 (1)ILPVSMTKTSVDS2 undefined
1495.75451495.7540+ 0.322–34TQLPPAYTNSFTRS1 subunit N-terminal domain (NTD)
1576.70711576.7060+ 0.7647–661AGCLIGAEHVNNSYES1 subunit C-terminal domain (CTD)
1727.85291727.8520+ 0.5686–702SVASQSIIAYTMSLGAES2 subunit N-terminus at furin cleavage site
1743.84781743.8469+ 0.5686–702 (+O)SVASQSIIAYTMSLGAES2 subunit N-terminus at furin cleavage site
1801.91391801.9133+ 0.3341–355 (1)VFNATRFASVYAWNRS1 subunit receptor-binding domain (RBD)
1976.98711976.9858+ 0.7664–682IPIGAGICASYQTQTNSPRS1 subunit C-terminus at furin cleavage site
2396.30922396.3080+ 0.51–21 (+O)MFVFLVLLPLVSSQCVNLTTRS1 subunit N-terminal domain (NTD)
2443.19952443.1987+ 0.3703–725NSVAYSNNSIAIPTNFTISVTTEUndefined
3044.60213044.6011+ 0.3951–979 (1)VVNQNAQALNTLVKQLSSNFGAISSVLNDHR1 domain—partial
3209.60263209.6035− 0.3584–614 (1)ILDITPCSFGGVSVITPGTNTSNQVAVLYQDS1 subunit receptor-binding domain (RBD)—partial
3328.69683328.6981− 0.4703–733 (+O) (1)NSVAYSNNSIAIPTNFTISVTTEILPVSMTKUndefined

aBased on NCBI protein sequence QHD43416.1 where residues denoted (+O) are associated with an oxidized methionine residues and those with a (1) containing one missed cleavage site; all others contain no missed cleavage sites. Bolded entries represent regions that allow variants to be distinguished as identified in Table 2

bAs defined in UniPro knowledge base (uniprokb) at https://covid-19.uniprot.org/uniprotkb/ and ref. Acta Pharmacologica Sinica

High-resolution MALDI mass spectra for the doubly digested (trypsin + GluC) S-protein extricated from laboratory grown virus. Peaks labelled in bold represent regions containing mutations in major variants of concern Tryptic + GluC peptide ions detected for spike protein from lab grown specimen, their sequences and location aBased on NCBI protein sequence QHD43416.1 where residues denoted (+O) are associated with an oxidized methionine residues and those with a (1) containing one missed cleavage site; all others contain no missed cleavage sites. Bolded entries represent regions that allow variants to be distinguished as identified in Table 2 bAs defined in UniPro knowledge base (uniprokb) at https://covid-19.uniprot.org/uniprotkb/ and ref. Acta Pharmacologica Sinica The spectra for the recombinant forms for each of the 5 major variants are shown in Fig. 2. As expected, they contain a number of common ions including those at ions m/z 1206, associated with residues 517–228, and m/z 1801 resulting from a missed cleaved peptide comprising residues 341–355. Note that the actual numbering of these residues and other peptide segments will vary from the originating strain due to the presence of deletion sites in some variants (see Table 2). All of the vertically labelled masses have been assigned (see Supplementary Table 1) but residue segments are not shown on the spectra for clarity. Those labelled horizontally and in bold represent those peptides that can be used to distinguish the variants (Table 2). For example, the spectrum of the alpha variant exhibits two distinguishing peptides comprising residues 703–725 (at m/z 2455.2364) and 1112–1127 (at m/z 1746.8125) that contain the T716I and D1118H mutations respectively (Table 2). The beta variant is identified by three peptides at m/z 801.4361, 1337.6503 and 1788.9537 representing residues 238–246 (Δ242–244), 472–484 and 238–253 containing the 242–244 deletion, E484K and R246I mutations. The delta variants are distinguished from other variants of concern, and from each other, based upon the detection of the peptides at m/z 885.4370 (89–96) and 1654.6700 (154–169) containing the T95I and R158G mutations. The gamma variant is distinguished by two peptides at m/z 1171.5971 (409–420) and 1390.7678 (1169–1181) containing the unique K419T and V1176F mutations. Irrespective of the coverage and the ionization of particular peptides, the variants of concern can be identified, and distinguished from one another, based on the detection of any one of the peptides of unique mass (Table 2) in these maps.
Fig. 2

High-resolution MALDI mass spectra for the doubly-digested (trypsin + GluC) recombinant S-protein for five major variants of concern. Peaks labelled horizontally containing mutations that distinguish the variants. Residue segments for all peaks are provided in Supplementary Table 1

High-resolution MALDI mass spectra for the doubly-digested (trypsin + GluC) recombinant S-protein for five major variants of concern. Peaks labelled horizontally containing mutations that distinguish the variants. Residue segments for all peaks are provided in Supplementary Table 1 The ability of the results to correctly chart the evolution of the variants was assessed using the MassTree algorithm. This algorithm builds phylogenetic-like trees from mass map data generated experimentally or theoretically, or using some combination of both. Mass trees have been found to highly congruent with sequence-based trees in a series of studies [18–20, 25]. A mass tree built from the labelled masses shown in Figs. 1 and 2, which represent the identified peptide segments of the S-protein from the originating strain and each major variant, is shown in Fig. 3. Even without the use of any sequence data or their alignment [19], the mass tree correctly predicts the evolution of the beta, delta and gamma variants from the alpha UK lineage as well as the close association of the two delta variants. Even though the mass datasets do not represent complete S-protein coverage, and despite the very different nature of the data itself, the tree closely resembles the topology of a sequence tree built following the alignment of protein sequence data (across a common span of residues 16 to 1213) (Supplementary Fig. 1). The latter is consistent with that reported elsewhere [26]. Where greater coverage is achieved, the MassTree algorithm has been shown to be able to correctly identify point mutations and display on them on the mass tree, providing each peptide segment contains a single mutation [24].
Fig. 3

Mass tree for the S-protein of an originating strain and five major variants of concern, constructed using the mass map data of Figs. 1 and 2

Mass tree for the S-protein of an originating strain and five major variants of concern, constructed using the mass map data of Figs. 1 and 2

Conclusions

This study demonstrates that the detection of SARS-CoV-2 variants of concern is no longer reliant on genome sequencing. Peptide signatures of unique mass can be used to identify the presence of mutations associated with the evolution of the virus without the need for gene or protein sequences. Further, the evolution of the virus can be correctly charted from the mass maps as has been shown previously for other viruses [18-20] and a wider range of organisms [25] by this laboratory. Such a mass spectrometry-based strategy offers an alternative to conventional PCR-based genetic detection and analysis of the virus [27] where, after RNA extraction from viral specimens, studies of its evolutionary dynamics require the relatively time-consuming generation, interpretation and processing of large genome sequence datasets. The mass spectrometric approach does require the initial isolation, or at least partial purification, of the S-protein but if optimized, using procedures under development [28], this could be performed within a similar timeframe to the many steps needed to isolate, purify and amplify the virus’ genes or genome [29]. While mutations within the S-protein or its gene have been the focus of most studies of the variants of concern [4, 6–9] given the role the protein plays in host cell interactions [3], variant-specific mutations identified within other protein-coding regions [5] (e.g. for nucleocapsid) could be detected by the same MS approach. The ease with which protein mass maps can be generated, once a viral protein is isolated, and the speed and sensitivity of mass spectrometric approaches afford benefits over gene-based approaches [10]. Protein-based approaches are further more transferable to studies in structural biology that identify antiviral drug targets [30] for therapeutic interventions, as well as vaccine candidates. (DOCX 23 kb) (PDF 80 kb)
  25 in total

1.  Relaxed neighbor joining: a fast distance-based phylogenetic tree construction method.

Authors:  Jason Evans; Luke Sheneman; James Foster
Journal:  J Mol Evol       Date:  2006-04-28       Impact factor: 2.395

2.  Mutational analysis employing a phylogenetic mass tree approach in a study of the evolution of the influenza virus.

Authors:  Elma H Akand; Kevin M Downard
Journal:  Mol Phylogenet Evol       Date:  2017-04-09       Impact factor: 4.286

Review 3.  Proteotyping for the rapid identification of influenza virus and other biopathogens.

Authors:  Kevin M Downard
Journal:  Chem Soc Rev       Date:  2013-11-21       Impact factor: 54.564

4.  Incorporation of a proteotyping approach using mass spectrometry for surveillance of influenza virus in cell-cultured strains.

Authors:  Neil D Fernandes; Kevin M Downard
Journal:  J Clin Microbiol       Date:  2013-11-13       Impact factor: 5.948

5.  A Fast and Accessible Method for the Isolation of RNA, DNA, and Protein To Facilitate the Detection of SARS-CoV-2.

Authors:  Jose Carlos Ponce-Rojas; Michael S Costello; Carolina Arias; Diego Acosta-Alvear; Duncan A Proctor; Kenneth S Kosik; Maxwell Z Wilson
Journal:  J Clin Microbiol       Date:  2021-03-19       Impact factor: 5.948

6.  SARS-CoV-2 spike E484K mutation reduces antibody neutralisation.

Authors:  Sonia Jangra; Chengjin Ye; Raveen Rathnasinghe; Daniel Stadlbauer; Florian Krammer; Viviana Simon; Luis Martinez-Sobrido; Adolfo García-Sastre; Michael Schotsaert
Journal:  Lancet Microbe       Date:  2021-04-07

7.  SARS-associated coronavirus replication in cell lines.

Authors:  Matthew Kaye
Journal:  Emerg Infect Dis       Date:  2006-01       Impact factor: 6.883

8.  Decoding SARS-CoV-2 Transmission and Evolution and Ramifications for COVID-19 Diagnosis, Vaccine, and Medicine.

Authors:  Rui Wang; Yuta Hozumi; Changchuan Yin; Guo-Wei Wei
Journal:  J Chem Inf Model       Date:  2020-06-25       Impact factor: 4.956

9.  Detection, Mapping, and Proteotyping of SARS-CoV-2 Coronavirus with High Resolution Mass Spectrometry.

Authors:  Nicholas L Dollman; Justin H Griffin; Kevin M Downard
Journal:  ACS Infect Dis       Date:  2020-11-18       Impact factor: 5.084

10.  Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus.

Authors:  Bette Korber; Will M Fischer; Sandrasegaram Gnanakaran; Hyejin Yoon; James Theiler; Werner Abfalterer; Nick Hengartner; Elena E Giorgi; Tanmoy Bhattacharya; Brian Foley; Kathryn M Hastie; Matthew D Parker; David G Partridge; Cariad M Evans; Timothy M Freeman; Thushan I de Silva; Charlene McDanal; Lautaro G Perez; Haili Tang; Alex Moon-Walker; Sean P Whelan; Celia C LaBranche; Erica O Saphire; David C Montefiori
Journal:  Cell       Date:  2020-07-03       Impact factor: 66.850

View more
  1 in total

Review 1.  Proteomic Analysis of Human Sputum for the Diagnosis of Lung Disorders: Where Are We Today?

Authors:  Maura D'Amato; Paolo Iadarola; Simona Viglio
Journal:  Int J Mol Sci       Date:  2022-05-19       Impact factor: 6.208

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.