Mushal Allam

Dr. Mushal Allam

Genetics and Genomics, United Arab Emirates University, Al Ain, United Arab Emirates
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 March 2021 in Nature
Verified
Journal Article
Closed access
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HTHouriiyah Tegally
Houriiyah Tegally
EWEduan Wilkinson
Eduan Wilkinson
Marta GiovanettiMarta Giovanetti
Marta Giovanetti
AIArash Iranzadeh
Arash Iranzadeh
Vagner FonsecaVagner Fonseca
Vagner Fonseca
TOTulio De Oliveira
Tulio De Oliveira

29 March 2021 in Nature
Verified
Journal Article
Closed access
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Mushal AllamMushal Allam
Mushal Allam
SCSandile Cele
Sandile Cele
CTCommit-Kzn Team
Commit-Kzn Team
IGInbal Gazy
Inbal Gazy
LJLaurelle Jackson
Laurelle Jackson
ASAlex Sigal
Alex Sigal

22 December 2020 in medRxiv
Verified
Preprint
Open access
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HTHouriiyah Tegally
Houriiyah Tegally
EWEduan Wilkinson
Eduan Wilkinson
MGMarta Giovanetti
Marta Giovanetti
AIArash Iranzadeh
Arash Iranzadeh
VFVagner Fonseca
Vagner Fonseca
TOTulio De Oliveira
Tulio De Oliveira
Summary: Continued uncontrolled transmission of the severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) in many parts of the world is creating the conditions for significant virus evolution. Here, we describe a new SARS-CoV-2 lineage (501Y.V2) characterised by eight lineage-defining mutations in the spike protein, including three at important residues in the receptor-binding domain (K417N, E484K and N501Y) that may have functional significance. This lineage emerged in South Africa after the first epidemic wave in a severely affected metropolitan area, Nelson Mandela Bay, located on the coast of the Eastern Cape Province. This lineage spread rapidly, becoming within weeks the dominant lineage in the Eastern Cape and Western Cape Provinces. Whilst the full significance of the mutations is yet to be determined, the genomic data, showing the rapid displacement of other lineages, suggest that this lineage may be associated with increased transmissibility.

2 February 2021 in Nature Medicine
Verified
Journal Article
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HTHouriiyah Tegally
Houriiyah Tegally
EWEduan Wilkinson
Eduan Wilkinson
RLRichard Lessells
Richard Lessells
JGJennifer Giandhari
Jennifer Giandhari
SPSureshnee Pillay
Sureshnee Pillay
TOTulio De Oliveira
Tulio De Oliveira

13 February 2020 in New England Journal of Medicine
Verified
Journal Article
Closed access
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JTJuno Thomas
Juno Thomas
NGNevashan Govender
Nevashan Govender
KMKerrigan M. McCarthy
Kerrigan M. McCarthy
LELinda K. Erasmus
Linda K. Erasmus
TDTimothy J. Doyle
Timothy J. Doyle
LBLucille H. Blumberg
Lucille H. Blumberg
An outbreak of listeriosis was identified in South Africa in 2017. The source was unknown. We conducted epidemiologic, trace-back, and environmental investigations and used whole-genome sequencing to type Listeria monocytogenes isolates. A case was defined as laboratory-confirmed L. monocytogenes infection during the period from June 11, 2017, to April 7, 2018. A total of 937 cases were identified, of which 465 (50%) were associated with pregnancy; 406 of the pregnancy-associated cases (87%) occurred in neonates. Of the 937 cases, 229 (24%) occurred in patients 15 to 49 years of age (excluding those who were pregnant). Among the patients in whom human immunodeficiency virus (HIV) status was known, 38% of those with pregnancy-associated cases (77 of 204) and 46% of the remaining patients (97 of 211) were infected with HIV. Among 728 patients with a known outcome, 193 (27%) died. Clinical isolates from 609 patients were sequenced, and 567 (93%) were identified as sequence type 6 (ST6). In a case–control analysis, patients with ST6 infections were more likely to have eaten polony (a ready-to-eat processed meat) than those with non-ST6 infections (odds ratio, 8.55; 95% confidence interval, 1.66 to 43.35). Polony and environmental samples also yielded ST6 isolates, which, together with the isolates from the patients, belonged to the same core-genome multilocus sequence typing cluster with no more than 4 allelic differences; these findings showed that polony produced at a single facility was the outbreak source. A recall of ready-to-eat processed meat products from this facility was associated with a rapid decline in the incidence of L. monocytogenes ST6 infections. This investigation showed that in a middle-income country with a high prevalence of HIV infection, L. monocytogenes caused disproportionate illness among pregnant girls and women and HIV-infected persons. Whole-genome sequencing facilitated the detection of the outbreak and guided the trace-back investigations that led to the identification of the source.

7 May 2021 in PLOS Biology
Verified
Journal Article
Open access
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CVChantal Vogels
Chantal Vogels
MBMallery I. Breban
Mallery I. Breban
IOIsabel M. Ott
Isabel M. Ott
TATara Alpert
Tara Alpert
MPMary E. Petrone
Mary E. Petrone
NGNathan D. Grubaugh
Nathan D. Grubaugh
With the emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants that may increase transmissibility and/or cause escape from immune responses, there is an urgent need for the targeted surveillance of circulating lineages. It was found that the B.1.1.7 (also 501Y.V1) variant, first detected in the United Kingdom, could be serendipitously detected by the Thermo Fisher TaqPath COVID-19 PCR assay because a key deletion in these viruses, spike Δ69–70, would cause a “spike gene target failure” (SGTF) result. However, a SGTF result is not definitive for B.1.1.7, and this assay cannot detect other variants of concern (VOC) that lack spike Δ69–70, such as B.1.351 (also 501Y.V2), detected in South Africa, and P.1 (also 501Y.V3), recently detected in Brazil. We identified a deletion in the ORF1a gene (ORF1a Δ3675–3677) in all 3 variants, which has not yet been widely detected in other SARS-CoV-2 lineages. Using ORF1a Δ3675–3677 as the primary target and spike Δ69–70 to differentiate, we designed and validated an open-source PCR assay to detect SARS-CoV-2 VOC. Our assay can be rapidly deployed in laboratories around the world to enhance surveillance for the local emergence and spread of B.1.1.7, B.1.351, and P.1.