Muhammad Farooq

Mr. Muhammad Farooq

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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17 October 2016 in Molecular Plant Pathology
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Journal Article
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SZSyed Shan-e-Ali Zaidi
Syed Shan-e-Ali Zaidi
DMDarren P. Martin
Darren P. Martin
IAImran Amin
Imran Amin
MFMuhammad Farooq
Muhammad Farooq
SMShahid Mansoor
Shahid Mansoor

6 April 2017 in Scientific Reports
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Journal Article
Open access
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MZMuhammad Zubair
Muhammad Zubair
SZSyed Shan-e-Ali Zaidi
Syed Shan-e-Ali Zaidi
SSSara Shakir
Sara Shakir
MFMuhammad Farooq
Muhammad Farooq
IAImran Amin
Imran Amin
SMShahid Mansoor
Shahid Mansoor
The first epidemic of cotton leaf curl disease (CLCuD) in early 1990’s in the Indian subcontinent was associated with several distinct begomoviruses along with a disease-specific betasatellite. Resistant cotton varieties were introduced in late 1990’s but soon resistance was broken and was associated with a single recombinant begomovirus named Burewala strain of Cotton leaf curl Kokhran virus that lacks a full complement of a gene encoding a transcription activator protein (TrAP). In order to understand the ongoing changes in CLCuD complex in Pakistan, CLCuD affected plants from cotton fields at Vehari were collected. Illumina sequencing was used to assess the diversity of CLCuD complex. At least three distinct begomoviruses characterized from the first epidemic; Cotton leaf curl Multan virus, Cotton leaf curl Kokhran virus and Cotton leaf curl Alabad virus, several distinct species of alphasatellites and cotton leaf curl Multan betasatellite were found associated with CLCuD. These viruses were also cloned and sequenced through Sanger sequencing to confirm the identity of the begomoviruses and that all clones possessed a full complement of the TrAP gene. A new strain of betasatellite was identified here and named CLCuMuBVeh. The implications of these findings in efforts to control CLCuD are discussed.

18 June 2019 in BMC Genomics
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Journal Article
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SHSonia Hussain
Sonia Hussain
MFMuhammad Farooq
Muhammad Farooq
HMHassan Jamil Malik
Hassan Jamil Malik
IAImran Amin
Imran Amin
BSBrian Scheffler
Brian Scheffler
SMShahid Mansoor
Shahid Mansoor
Whiteflies (Bemisia tabaci) are phloem sap-sucking pests that because of their broad host range and ability to transmit viruses damage crop plants worldwide. B. tabaci are now known to be a complex of cryptic species that differ from each other in many characteristics such as mode of interaction with viruses, invasiveness, and resistance to insecticides. Asia II 1 is an indigenous species found on the Indian sub-continent and south-east Asia while the species named as Middle East Asia Minor 1 (MEAM1), likely originated from the Middle-East and has spread worldwide in recent decades. The purpose of this study is to find genomic differences between these two species. Sequencing of the nuclear genome of Asia II 1 with Illumina HiSeq and MiSeq generated 198.90 million reads that covers 88% of the reference genome. The sequence comparison with MEAM1 identified 2,327,972 SNPs and 202,479 INDELs. In Total, 1294 genes were detected with high impact variants. The functional analysis revealed that some of the genes are involved in virus transmission including 4 genes in Tomato yellow leaf curl virus (TYLCV) transmission, 96 in Tomato crinivirus (ToCV) transmission, and 14 genes in insecticide resistance. These genetic differences between Asia II 1 and MEAM1 may underlie the major biological differences between the two species such as virus transmission, insecticide resistance, and range of host plants. The present study provides new genomic data and information resources for Asia II 1 that will not only contribute to the species delimitation of whitefly, but also help in conceiving future research studies to develop more targeted management strategies against whitefly.

1 January 2020 in Genomics
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Journal Article
Closed access
Athar HussainAthar Hussain
Athar Hussain
RTRabbia Tanveer
Rabbia Tanveer
GMGhulam Mustafa
Ghulam Mustafa
MFMuhammad Farooq
Muhammad Farooq
IAImran Amin
Imran Amin
SMShahid Mansoor
Shahid Mansoor

27 November 2017 in Genome Biology and Evolution
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Journal Article
Open access
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Corrinne GroverCorrinne Grover
Corrinne Grover
MAMark Anthony Arick
Mark Anthony Arick
JCJustin L Conover
Justin L Conover
ATAdam Thrash
Adam Thrash
GHGuanjing Hu
Guanjing Hu
JWJonathan F Wendel
Jonathan F Wendel
Long-distance insular dispersal is associated with divergence and speciation because of founder effects and strong genetic drift. The cotton tribe (Gossypieae) has experienced multiple transoceanic dispersals, generating an aggregate geographic range that encompasses much of the tropics and subtropics worldwide. Two genera in the Gossypieae, Kokia and Gossypioides, exhibit a remarkable geographic disjunction, being restricted to the Hawaiian Islands and Madagascar/East Africa, respectively. We assembled and use de novo genome sequences to address questions regarding the divergence of these two genera from each other and from their sister-group, Gossypium. In addition, we explore processes underlying the genome downsizing that characterizes Kokia and Gossypioides relative to other genera in the tribe. Using 13,000 gene orthologs and synonymous substitution rates, we show that the two disjuncts last shared a common ancestor ∼5 Ma, or half as long ago as their divergence from Gossypium. We report relative stasis in the transposable element fraction. In comparison to Gossypium, there is loss of ∼30% of the gene content in the two disjunct genera and a history of genome-wide accumulation of deletions. In both genera, there is a genome-wide bias toward deletions over insertions, and the number of gene losses exceeds the number of gains by ∼2- to 4-fold. The genomic analyses presented here elucidate genomic consequences of the demographic and biogeographic history of these closest relatives of Gossypium, and enhance their value as phylogenetic outgroups.

28 May 2019 in Frontiers in Plant Science
Verified
Journal Article
Open access
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HKHira Kamal
Hira Kamal
FMFayyaz-Ul-Amir Afsar Minhas
Fayyaz-Ul-Amir Afsar Minhas
MFMuhammad Farooq
Muhammad Farooq
DTDiwaker Tripathi
Diwaker Tripathi
MHMuhammad Hamza
Muhammad Hamza
IAImran Amin
Imran Amin
Cotton leaf curl disease (CLCuD) caused by viruses of genus Begomovirus is a major constraint to cotton (Gossypium hirsutum) production in many cotton-growing regions of the world. Symptoms of the disease are caused by Cotton leaf curl Multan betasatellite (CLCuMB) that encodes a pathogenicity determinant protein, βC1. Here, we report the identification of interacting regions in βC1 protein by using computational approaches including sequence recognition, and binding site and interface prediction methods. We show the domain-level interactions based on the structural analysis of G. hirsutum SnRK1 protein and its domains with CLCuMB-βC1. To verify and validate the in silico predictions, three different experimental approaches, yeast two hybrid, bimolecular fluorescence complementation and pull down assay were used. Our results showed that ubiquitin-associated domain (UBA) and autoinhibitory sequence (AIS) domains of G. hirsutum-encoded SnRK1 are involved in CLCuMB-βC1 interaction. This is the first comprehensive investigation that combined in silico interaction prediction followed by experimental validation of interaction between CLCuMB-βC1 and a host protein. We demonstrated that data from computational biology could provide binding site information between CLCuD-associated viruses/satellites and new hosts that lack known binding site information for protein–protein interaction studies. Implications of these findings are discussed.