Tanveer Hussain

Dr. Tanveer Hussain

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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28 November 2023 in Nature Communications
Verified
Journal Article
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NCNingbo Chen
Ningbo Chen
XXXiaoting Xia
Xiaoting Xia
QHQurat-ul-Ain Hanif
Qurat-ul-Ain Hanif
FZFengwei Zhang
Fengwei Zhang
RDRuihua Dang
Ruihua Dang
CLChuzhao Lei
Chuzhao Lei
Indicine cattle, also referred to as zebu (Bos taurus indicus), play a central role in pastoral communities across a wide range of agro-ecosystems, from extremely hot semiarid regions to hot humid tropical regions. However, their adaptive genetic changes following their dispersal into East Asia from the Indian subcontinent have remained poorly documented. Here, we characterize their global genetic diversity using high-quality whole-genome sequencing data from 354 indicine cattle of 57 breeds/populations, including major indicine phylogeographic groups worldwide. We reveal their probable migration into East Asia was along a coastal route rather than inland routes and we detected introgression from other bovine species. Genomic regions carrying morphology-, immune-, and heat-tolerance-related genes underwent divergent selection according to Asian agro-ecologies. We identify distinct sets of loci that contain promising candidate variants for adaptation to hot semi-arid and hot humid tropical ecosystems. Our results indicate that the rapid and successful adaptation of East Asian indicine cattle to hot humid environments was promoted by localized introgression from banteng and/or gaur. Our findings provide insights into the history and environmental adaptation of indicine cattle.

14 October 2020 in Environmental Science and Pollution Research
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Journal Article
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ARAli Raza
Ali Raza
MKMuhammad Tariq Iqbal Khan
Muhammad Tariq Iqbal Khan
QAQamar Ali
Qamar Ali
THTanveer Hussain
Tanveer Hussain
SNSaadia Narjis
Saadia Narjis
This study was designed to investigate the impact of meteorological indicators (temperature, rainfall, and humidity) on total COVID-19 cases in Pakistan, its provinces, and administrative units from March 10, 2020, to August 25, 2020. The correlation analysis showed that COVID-19 cases and temperature showed a positive correlation. It implies that the increase in COVID-19 cases was reported due to an increase in the temperature in Pakistan, its provinces, and administrative units. The generalized Poisson regression showed that the rise in the expected log count of COVID-19 cases was 0.024 times for a 1 °C rise in the average temperature in Pakistan. Second, the correlation between rainfall and COVID-19 cases was negative in Pakistan. However, the regression coefficient between the expected log count of COVID-19 cases and rainfall was insignificant in Pakistan. Third, the correlation between humidity and the total COVID-19 cases was negative, which implies that the increase in humidity is beneficial to stop the transmission of COVID-19 in Pakistan, its provinces, and administrative units. The reduction in the expected log count of COVID-19 cases was 0.008 times for a 1% increase in the humidity per day in Pakistan. However, humidity and COVID-19 cases were positively correlated in Sindh province. It is required to create awareness among the general population, and the government should include the causes, symptoms, and precautions in the educational syllabus. Moreover, people should adopt the habit of hand wash, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to control the COVID-19.

1 October 2020 in Heliyon
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Journal Article
Open access
MSMuhammad Shehroz
Muhammad Shehroz
TZTahreem Zaheer
Tahreem Zaheer
THTanveer Hussain
Tanveer Hussain
SARS-CoV-2 has the Spike glycoprotein (S) which is crucial in attachment with host receptor and cell entry leading to COVID-19 infection. The current study was conducted to explore drugs against Receptor Binding Domain (RBD) of SARS-CoV-2 using in silico pharmacophore modelling and virtual screening approach to combat COVID-19. All the available sequences of RBD in NCBI were retrieved and multiple aligned to get insight into its diversity. The 3D structure of RBD was modelled and the conserved region was used as a template to design pharmacophore using LigandScout. Lead compounds were screened using Cambridge, Drugbank, ZINC and TIMBLE databases and these identified lead compounds were screened for their toxicity and Lipinski's rule of five. Molecular docking of shortlisted lead compounds was performed using AutoDock Vina and interacting residues were visualized. Active residues of Receptor Binding Motif (RBM) in S, involved in interaction with receptor, were found to be conserved in all 483 sequences. Using this RBM motif as a pharmacophore a total of 1327 lead compounds were predicted initially from all databases, however, only eight molecules fit the criteria for safe oral drugs. Conclusion: The RBM region of S interacts with Angiotensin Converting Enzyme 2 (ACE2) receptor and Glucose Regulated Protein 78 (GRP78) to mediate viral entry. Based on in silico analysis, the lead compounds scrutinized herewith interact with S, hence, can prevent its internalization in cell using ACE2 and GRP78 receptor. The compounds predicted in this study are based on rigorous computational analysis and the evaluation of predicted lead compounds can be promising in experimental studies.

13 June 2024 in Life
Verified
Journal Article
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SKSamina Khurshid
Samina Khurshid
HAHamad Ashraf
Hamad Ashraf
THTanveer Hussain
Tanveer Hussain
MIMuhammad Iqbal
Muhammad Iqbal
HQHuma Qureshi
Huma Qureshi
Mohammad AnsariMohammad Ansari
Mohammad Ansari
The production of citric acid, a vital agricultural commodity utilized across various industries such as food, beverages, pharmaceuticals, agriculture, detergents, and cosmetics, predominantly relies on microbial fermentation, with Aspergillus niger accounting for approximately 90% of global production. In this study, we aimed to optimize the key factors influencing citric acid production, with a focus on strains, fermentation techniques, and carbon sources, particularly sugarcane molasses. A. niger, sourced from the Botany department/Biotechnology laboratories at Govt. College of Science, Lahore, was employed for citric acid production. The process involved inoculum preparation through spore collection from 3 to 5 days of cultured PDA slants. The fermentation medium, comprising cane molasses with a 15% sugar concentration, was meticulously prepared and optimized for various factors, including magnesium sulfate, potassium ferrocyanide, time of addition of potassium ferrocyanide, ammonium oxalate, and calcium chloride. Our optimization results shed light on the significant impact of different factors on citric acid production. For instance, the addition of 0.4 g/L magnesium sulfate led to a maximum yield of 75%, while 2 g/L potassium ferrocyanide, added at 24 h, achieved a yield of 78%. Remarkably, ammonium oxalate, at a concentration of 10 g/L, resulted in a notable 77% yield. Conversely, the addition of calcium chloride exhibited negligible effects on citric acid production, with the control group yielding more at 78%. Our study underscores the potential for optimizing factors to enhance citric acid production by A. niger in submerged fermentation. These findings highlight the pivotal role of magnesium sulfate, potassium ferrocyanide, and ammonium oxalate in augmenting citric acid yields while emphasizing the minimal impact of calcium chloride. Ultimately, these insights contribute to advancing our understanding of microbial citric acid biosynthesis, providing valuable implications for industrial applications and future research endeavors.

4 October 2020 in Environmental Science and Pollution Research
Verified
Journal Article
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ARAli Raza
Ali Raza
QAQamar Ali
Qamar Ali
THTanveer Hussain
Tanveer Hussain
The COVID-19 pandemic is straining public health systems and the global economy, triggering unprecedented measures by governments around the globe. The adoption of a preventive measure is required to control the spread. This research explores the impact of influencing factors like COVID-19 knowledge, behavioral control, moral and subject norms, preventive e-guidelines by the government, and environmental factors on the intention to prevent COVID-19 and risk aversion. A cross-sectional study was performed of 310 respondents about different COVID-19 related influencing factors in Pakistan. The partial least square-structural equation modeling was applied to estimate the path coefficient. Moral and subject norms (0.359) had a comparatively higher path coefficient. Other influencing factors/drivers were preventive e-guideline by the government (0.215) followed by COVID-19 knowledge (0.197), and behavioral control (0.121). The intention to prevent COVID-19 showed a positive and significant impact (0.705) on risk aversion. The indirect analysis also confirmed that the positive influence of moral and subject norms, COVID-19 knowledge, preventive e-guideline by the government, and behavioral control on risk aversion. However, the path coefficient of environmental factors was negative but insignificant, which implies than environmental factors do not influence the intention to prevent COVID-19. It is suggested to provide clear guidelines using print, social, electronic media. It is also suggested to provide e-guidelines in local languages. The COVID-19 knowledge about its transmission, symptoms, and precautions is also useful. It is suggested to include the causes, symptoms, and precaution of viral diseases in the educational syllabus. The government should ensure the availability of preventive medical items like surgical masks and sanitizers to meet the demand of the public.

17 January 2024 in Avian Pathology
Verified
Journal Article
Closed access
AWAbdul Wajid
Abdul Wajid
QMQuratulain Maqsood
Quratulain Maqsood
Mourad Ben SaidMourad Ben Said
Mourad Ben Said
SSShahid Sherzada
Shahid Sherzada
Mohammed NooruzzamanMohammed Nooruzzaman
Mohammed Nooruzzaman
NANazeer Ahmed
Nazeer Ahmed
Newcastle disease virus (NDV) is among the most important viruses of poultry; however, variants also cause clinical diseases in birds of the family Columbidae. From 2014 onwards, notable mortality rates have been observed in racing and rock pigeons, with a correlation to subgenotypes XXI.1.1 and XXI.1.2 of genotype XXI in Pakistan. In this study, we performed isolation and genetic characterization of 29 pigeon-derived NDV isolates of sub-genotypes XXI.1.1, XXI.1.2 and VII.2. Phylogenetic analysis based on complete fusion gene sequences classified seven (n = 7) isolates into sub-genotype XXI.1.1 and they were genetically closely related to isolates previously characterized in Pakistan (0.05-0.43% nucleotide divergence), and in Iran, Russia, Egypt, Nigeria, Kazakhstan and Ukraine (3.75% to 6.67% nucleotide divergence) in the period from 2005-2018. In addition, nineteen (n = 19) isolates were clustered with viruses previously isolated in Pakistan (2014-2018) in sub-genotype XXI.1.2. In addition, three (n = 3) F-gene sequences assigned to subgenotype VII.2 were identified along with viruses repeatedly isolated (2011-2020) from several poultry and non-poultry avian species in Pakistan. The analysis showed that all isolates of sub-genotypes XXI.1.1 and XXI.1.2 were mesogenic (1.42-1.49) and the isolates belonging to sub-genotype VII.2 were velogenic (1.63-1.71) in nature according to the intracerebral pathogenicity index (ICPI). This study delivers a comprehensive description of the prevalence of sub-genotypes XXI.1.1 and XXI.1.2 in Pakistan since 2014. Additionally, it underscores the role of free-range pigeons as effective carriers of virulent sub-genotype VII.2 viruses, impacting both poultry and non-poultry avian species reared in open environments.RESEARCH HIGHLIGHTSVirulent NDV genotypes were repeatedly isolated from pigeons.Evidence of epidemiological links among viruses isolated from various locations.Distinct phylogenetic branches suggest separate, simultaneous evolution of NDVs.Study information could be helpful in the development of an effective vaccine.