Literature DB >> 33506970

Will the emergent SARS-CoV2 B.1.1.7 lineage affect molecular diagnosis of COVID-19?

Juan D Ramírez1, Marina Muñoz1, Luz H Patiño1, Nathalia Ballesteros1, Alberto Paniz-Mondolfi2,3.   

Abstract

As the coronavirus disease 2019 pandemic keep tackling global public health systems worldwide. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) genome keeps mutating. In that regard, the recent emergence of the B.1.1.7 lineage in the UK has called the attention of global authorities. One point of concern is that if this lineage can be detected by traditional molecular schemes for SARS-CoV-2 detection. Herein, we showed that this lineage does not affect the Berlin-Charité protocol but can challenge the available commercial kits directed to the Spike (S) gene. All efforts should be made to continue to monitor SARS-CoV-2 genomes for potential variants that can impair diagnostic testing and lead to false negative results.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  DNA extraction; coronavirus; genetic variation; genetics; pathogenesis; phenotypic variation; research and analysis methods; virulence; virus classification

Mesh:

Substances:

Year:  2021        PMID: 33506970      PMCID: PMC8013853          DOI: 10.1002/jmv.26823

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   20.693


As the coronavirus disease 2019 (COVID‐19) pandemic continues to spread globally, accuracy, and reliability of testing methods, as well as the quality and speediness of data reporting is essential to provide robust real time monitoring and surveillance data for disease control and prevention. Recent reports on the emergence of a new severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) viral lineage (B.1.1.7) circulating in England have fueled speculations about its increased transmissibility and potential to affect molecular based testing methods. Even though this “variant under investigation” was first reported in late December in several areas of East, South East England, and London, evidence suggests that this variant could have been circulating since September 2020 and to presumably had arisen from a chronically infected patient. This new lineage is characterized by a repertoire of 17 mutations including 14 amino acid replacements and 3 in‐frame deletions located in the ORF 1 a/b, ORF 8, Spike (S), and N gene regions. Two of these mutations located in the spike (S‐gene) have already proven to have potential biological implications. The N501Y mutation, which occurs within the receptor binding domain (RBD) region, has been shown to enhance binding affinity to human and murine ACE2 receptor, a key player in viral recognition and internalization. On the other hand, the 69‐70 del has shown not only to play an important role in immunity but also has been associated to diagnostic failures on SARS‐CoV‐2 reverse‐transcription polymerase chain reaction (RT‐PCRs) assays targeting the S gene. In addition, a third mutation P681H occurring in close proximity to the furin cleavage site at the S1‐S2 junction has been shown to have functional biological implications that may influence viral infectivity. Ongoing studies suggest important epidemiological implications, including impact on virus transmissibility. In fact, current epidemiological modeling studies suggest a 56% increased transmissibility compared with other lineages, which may lead to a greater incidence and a larger number of projected hospitalizations and COVID‐19 related deaths in 2021 when compared with 2020. This situation has led again to the implementation of travel restriction in several countries including the UK, which has already implemented strict lockdown measures. However, despite such efforts, the B.1.1.7 lineage appears to have spread too far and has already been reported in 23 different countries thus precluding further containment and the global spread of this emerging variant. One of the most pressing concerns from a diagnostic standpoint is how mutations of this new lineage may adversely affect performance of currently available molecular tests for SARS‐CoV‐2 detection, particularly those targeting single positions of the viral genome. As a matter of fact, variants harboring the 69‐70del have already been associated with “dropout” of the S gene targets across several diagnostic platforms. Currently, several countries have implemented in‐house testing based on the Berlin–Charité protocol as well as other commercially available assays who do not disclose primers/probes sequences due to proprietary information policies. Also, analytical sensitivity and specificity between different RT‐PCR assays may differ particularly in context of the emergence of new virus variants. Herein, we retrieved B.1.1.7 SARS‐CoV‐2 genomic sequences to assess if the described lineage specific mutations signature could affect primers/probes annealing within the Berlin–Charité protocol. For this preliminary analysis we included all B.1.1.7. lineage public genome sequences available in GISAID for a total of 3296 full genomes. All three genes included in the Berlin protocol were evaluated: RdRp, E, and N genes with their corresponding primes/probes sequences as reported by Corman et al. For all three genes, most of the assessed sequences fell into a predominant haplotype with a frequency greater than 98% in which the reference sequence NC045512‐2‐Wuhan‐Hu‐1 was also included. However, polymorphisms were identified in the amplified region that lead to the identification of additional haplotypes that although present at frequencies less than 1% did reveal presence of single nucleotide polymorphisms (SNPs) at oligo‐binding site regions which could prevent accurate identification and lead to false negative results. For the RdRp gene, six haplotypes were identified (Haplotype Diversity “Hd”: 0.0067). SNPs were found in the haplotypes with lower frequencies, mainly in the first forward primer, with three variable positions at the 3ʹ end. In addition, a variable position was found at the central region of the probe‐annealing site and an additional in the reverse primer, corresponding to the first position at the 5ʹ end (Figure 1A). For the E gene, seven haplotypes were identified (Hd: 0.0187) depicting a variable position at the 5ʹ end of the forward primer plus two additional variable positions at the probe‐annealing site (Figure 1B). For the N gene, 13 haplotypes were identified (Hd: 0.0325) with three variable sites at the forward primer‐annealing site, two of them at the 3ʹ end, and two variable positions in the probe‐annealing site (Figure 1C).
Figure 1

Multiple alignment of SARS‐CoV2 B.1.1.7 lineage genomes and annealing sites of primers and probes for molecular diagnosis of COVID‐19. (A) Annealing sites for RdRp gene. (B) Annealing sites for E gene. (C) Annealing sites for N gene. COVID‐19, coronavirus disease 2019; SARS‐CoV‐2, severe acute respiratory syndrome coronavirus 2

Multiple alignment of SARS‐CoV2 B.1.1.7 lineage genomes and annealing sites of primers and probes for molecular diagnosis of COVID‐19. (A) Annealing sites for RdRp gene. (B) Annealing sites for E gene. (C) Annealing sites for N gene. COVID‐19, coronavirus disease 2019; SARS‐CoV‐2, severe acute respiratory syndrome coronavirus 2 These results suggest that the B.1.1.7 lineage does not seem to impact dramatically diagnostic performance of assays based on the Berlin–Charité protocol considering that 98% of the sequences can be detected with current primers/probes sets. However, a few sequences do appear to have been missed by current primers and probes prompting reassessment and design of primers/probes sets as well as evaluation of reagents and cycling conditions. Mutations and variations impairing accuracy and effectiveness of SARS‐CoV‐2 diagnostic assays have been recently documented. , A recent work from Vogels et al evaluating how the frequency of variants may impact efficiency of a number of qRT‐PCR assays revealed the occurrence of a GGG > AAC mutation (genome positions: 28881‐TO28883) overlapping on the 5ʹ of the Chinese CDC N forward primer. Artesi et al have reported on the occurrence of a C‐to‐U transition at position 26340 of the SARS‐CoV‐2 genome linked to impaired detection of the E gene target on the Cobas (Roche) qRT‐PCR platforms. Furthermore, this mutation appears to have arisen independently at least four times, suggesting the possibility in its origin through different transmission chains. Even though diagnostic detection of SARS‐CoV‐2 by RT‐PCR using Berlin–Charité does not involve the spike (S) protein‐encoding‐gene as a target, the fact that 8 out of the 17 mutations defining the novel UK variant involve the S gene is a matter of concern that deserves further comments. In a recent press note dated December 22nd, DiaSorin Molecular has stated that an in silico analysis evaluating the multiple spike (S) and ORF1a/b mutations present in the emerging variant will not affect performance of the Simplexa™ COVID19 Direct assay, given that none of the reported mutations locate at the primers/probes targeted regions included in their assay. Conversely, Thermo Fisher Scientific has already announced that the 69‐70del mutation (S gene) will result in a “drop‐out” of the S gene target, as this region is targeted through their TaqPath COVID‐19 assay. However, because TaqPath is a 3‐gene target assay covering different regions on the S and N genes, it is unlikely that this will affect overall test performance. Moreover, S gene “drop out” may prove beneficial from an epidemiological standpoint as it may serve as a proxy indicator for detection of the emerging B.1.1.1.7 lineage. In fact, the European CDC has stated that for multitarget RT‐PCR assays including the S gene, ‘Spike drop out” maybe used as a surrogate marker for the 69‐70del for variant detection in testing limited settings. In conclusion, it is expected that an increase in the frequency of variants could eventually impact testing of SARS‐CoV‐2 RT‐PCRs assays for both in‐house and commercially available assays. Such has been the case for the emerging UK variant which has accumulated an unprecedented repertoire of mutations in a very brief timeframe. This emphasizes the need to follow a multi‐target approach interrogating different regions of the viral genome to build‐in redundancy and increase test sensitivity. All efforts should be made to continue to monitor SARS‐CoV‐2 genomes for potential variants that can impair diagnostic testing and lead to false negative results.

PEER REVIEW

The peer review history for this article is available at https://publons.com/publon/10.1002/jmv.26823
  6 in total

1.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

2.  Will the emergent SARS-CoV2 B.1.1.7 lineage affect molecular diagnosis of COVID-19?

Authors:  Juan D Ramírez; Marina Muñoz; Luz H Patiño; Nathalia Ballesteros; Alberto Paniz-Mondolfi
Journal:  J Med Virol       Date:  2021-02-09       Impact factor: 20.693

3.  Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets.

Authors:  Chantal B F Vogels; Anderson F Brito; Anne L Wyllie; Joseph R Fauver; Isabel M Ott; Chaney C Kalinich; Mary E Petrone; Arnau Casanovas-Massana; M Catherine Muenker; Adam J Moore; Jonathan Klein; Peiwen Lu; Alice Lu-Culligan; Xiaodong Jiang; Daniel J Kim; Eriko Kudo; Tianyang Mao; Miyu Moriyama; Ji Eun Oh; Annsea Park; Julio Silva; Eric Song; Takehiro Takahashi; Manabu Taura; Maria Tokuyama; Arvind Venkataraman; Orr-El Weizman; Patrick Wong; Yexin Yang; Nagarjuna R Cheemarla; Elizabeth B White; Sarah Lapidus; Rebecca Earnest; Bertie Geng; Pavithra Vijayakumar; Camila Odio; John Fournier; Santos Bermejo; Shelli Farhadian; Charles S Dela Cruz; Akiko Iwasaki; Albert I Ko; Marie L Landry; Ellen F Foxman; Nathan D Grubaugh
Journal:  Nat Microbiol       Date:  2020-07-10       Impact factor: 30.964

Review 4.  The genetic sequence, origin, and diagnosis of SARS-CoV-2.

Authors:  Huihui Wang; Xuemei Li; Tao Li; Shubing Zhang; Lianzi Wang; Xian Wu; Jiaqing Liu
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2020-04-24       Impact factor: 3.267

5.  A Recurrent Mutation at Position 26340 of SARS-CoV-2 Is Associated with Failure of the E Gene Quantitative Reverse Transcription-PCR Utilized in a Commercial Dual-Target Diagnostic Assay.

Authors:  Maria Artesi; Sébastien Bontems; Marie-Pierre Hayette; Vincent Bours; Keith Durkin; Paul Göbbels; Marc Franckh; Piet Maes; Raphaël Boreux; Cécile Meex; Pierrette Melin
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

  6 in total
  14 in total

1.  Molecularly Imprinted Polymer Nanoparticles Enable Rapid, Reliable, and Robust Point-of-Care Thermal Detection of SARS-CoV-2.

Authors:  Jake McClements; Laure Bar; Pankaj Singla; Francesco Canfarotta; Alan Thomson; Joanna Czulak; Rhiannon E Johnson; Robert D Crapnell; Craig E Banks; Brendan Payne; Shayan Seyedin; Patricia Losada-Pérez; Marloes Peeters
Journal:  ACS Sens       Date:  2022-04-13       Impact factor: 9.618

2.  Real-life head-to-head comparison of performance of two high-throughput automated assays for detection of SARS-CoV-2 RNA in nasopharyngeal swabs: the Alinity m SARS-CoV-2 and cobas 6800 SARS-CoV-2 assays.

Authors:  Rok Kogoj; Petra Kmetič; Anja Oštrbenk Valenčak; Kristina Fujs Komloš; Katja Seme; Martin Sagadin; Miša Korva; Mario Poljak
Journal:  J Mol Diagn       Date:  2021-05-18       Impact factor: 5.568

3.  From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering.

Authors:  Andrew Melnyk; Fatemeh Mohebbi; Sergey Knyazev; Bikram Sahoo; Roya Hosseini; Pavel Skums; Alex Zelikovsky; Murray Patterson
Journal:  J Comput Biol       Date:  2021-10-25       Impact factor: 1.479

4.  Evaluation of the diagnostic performance of nine commercial RT-PCR kits for the detection of SARS-CoV-2 in Colombia.

Authors:  Carolina Hernández; Carolina Florez; Sergio Castañeda; Nathalia Ballesteros; David Martínez; Adriana Castillo; Marina Muñoz; Sergio Gomez; Angelica Rico; Liseth Pardo; Alberto Paniz-Mondolfi; Juan David Ramírez
Journal:  J Med Virol       Date:  2021-05-03       Impact factor: 20.693

5.  Will the emergent SARS-CoV2 B.1.1.7 lineage affect molecular diagnosis of COVID-19?

Authors:  Juan D Ramírez; Marina Muñoz; Luz H Patiño; Nathalia Ballesteros; Alberto Paniz-Mondolfi
Journal:  J Med Virol       Date:  2021-02-09       Impact factor: 20.693

6.  Importation of SARS-CoV-2 Variant B.1.1.7 in Pakistan.

Authors:  Massab Umair; Aamer Ikram; Muhammad Salman; Muhammad Masroor Alam; Nazish Badar; Zaira Rehman; Sana Tamim; Adnan Khurshid; Abdul Ahad; Hamza Ahmad; Samee Ullah
Journal:  J Med Virol       Date:  2021-02-19       Impact factor: 2.327

Review 7.  The ins and outs of SARS-CoV-2 variants of concern (VOCs).

Authors:  Mostafa Salehi-Vaziri; Mehdi Fazlalipour; Seyed Mahmood Seyed Khorrami; Kayhan Azadmanesh; Mohammad Hassan Pouriayevali; Tahmineh Jalali; Zabihollah Shoja; Ali Maleki
Journal:  Arch Virol       Date:  2022-01-28       Impact factor: 2.685

8.  SARS-CoV-2 tests in occupational settings: what you look for is what you get.

Authors:  Luca Ferrari; Simona Nigro; Lorenzo Bordini; Michele Carugno; Valentina Bollati
Journal:  Med Lav       Date:  2021-06-15       Impact factor: 1.275

Review 9.  COVID-19 and SARS-CoV-2 Variants: Current Challenges and Health Concern.

Authors:  Md Zeyaullah; Abdullah M AlShahrani; Khursheed Muzammil; Irfan Ahmad; Shane Alam; Wajihul Hasan Khan; Razi Ahmad
Journal:  Front Genet       Date:  2021-06-15       Impact factor: 4.599

Review 10.  The Spike of SARS-CoV-2: Uniqueness and Applications.

Authors:  Ranjith Kumavath; Debmalya Barh; Bruno Silva Andrade; Madangchanok Imchen; Flavia Figueira Aburjaile; Athira Ch; Diego Lucas Neres Rodrigues; Sandeep Tiwari; Khalid J Alzahrani; Aristóteles Góes-Neto; Marianna E Weener; Preetam Ghosh; Vasco Azevedo
Journal:  Front Immunol       Date:  2021-07-08       Impact factor: 7.561

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