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Wang H, Cai X, Umer MJ, Xu Y, Hou Y, Zheng J, Liu F, Wang K, Chen M, Ma S, Yu J, Zhou Z. Genetic Analysis of Cotton Fiber Traits in Gossypium Hybrid Lines. PHYSIOLOGIA PLANTARUM 2024; 176:e14442. [PMID: 39030776 DOI: 10.1111/ppl.14442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/25/2024] [Indexed: 07/22/2024]
Abstract
Cotton plays a crucial role in the progress of the textile industry and the betterment of human life by providing natural fibers. In our study, we explored the genetic determinants of cotton architecture and fiber yield and quality by crossbreeding Gossypium hirsutum and Gossypium barbadense, creating a recombinant inbred line (RIL) population. Utilizing SNP markers, we constructed an extensive genetic map encompassing 7,730 markers over 2,784.2 cM. We appraised two architectural and seven fiber traits within six environments, identifying 58 QTLs, of which 49 demonstrated stability across these environments. These encompassed QTLs for traits such as lint percentage (LP), boll weight (BW), fiber strength (STRENGTH), seed index (SI), and micronaire (MIC), primarily located on chromosomes chr-A07, chr-D06, and chr-D07. Notably, chr-D07 houses a QTL region affecting SI, corroborated by multiple studies. Within this region, the genes BZIP043 and SEP2 were identified as pivotal, with SEP2 particularly showing augmented expression in developing ovules. These discoveries contribute significantly to marker-assisted selection, potentially elevating both the yield and quality of cotton fiber production. These findings provide valuable insights into marker-assisted breeding strategies, offering crucial information to enhance fiber yield and quality in cotton production.
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Affiliation(s)
- Heng Wang
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
| | - Xiaoyan Cai
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
- Hainan Yazhou Bay Seed Laboratory, Sanya 572024, China/ National Nanfan Research Institute (Sanya), Chinese Academy of Agriculture Sciences, Sanya, China
- Henan International Joint Laboratory of Cotton Biology, Anyang, Henan, China
| | - Muhammad Jawad Umer
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
| | - Yanchao Xu
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
| | - Yuqing Hou
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
- Henan International Joint Laboratory of Cotton Biology, Anyang, Henan, China
| | - Jie Zheng
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
- Hainan Yazhou Bay Seed Laboratory, Sanya 572024, China/ National Nanfan Research Institute (Sanya), Chinese Academy of Agriculture Sciences, Sanya, China
- Henan International Joint Laboratory of Cotton Biology, Anyang, Henan, China
| | - Fang Liu
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
- Hainan Yazhou Bay Seed Laboratory, Sanya 572024, China/ National Nanfan Research Institute (Sanya), Chinese Academy of Agriculture Sciences, Sanya, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Cotton Biology, Anyang, Henan, China
| | - Kunbo Wang
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
| | - Mengshan Chen
- Chinese Academy of Agricultural Science, Beijing, China
| | | | - Jingzhong Yu
- Standing Committee of the People's Congress of Jiangsu Province, Nanjing, China
| | - Zhongli Zhou
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, Henan, China
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Kamal H, Zafar MM, Razzaq A, Parvaiz A, Ercisli S, Qiao F, Jiang X. Functional role of geminivirus encoded proteins in the host: Past and present. Biotechnol J 2024; 19:e2300736. [PMID: 38900041 DOI: 10.1002/biot.202300736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/19/2024] [Accepted: 04/16/2024] [Indexed: 06/21/2024]
Abstract
During plant-pathogen interaction, plant exhibits a strong defense system utilizing diverse groups of proteins to suppress the infection and subsequent establishment of the pathogen. However, in response, pathogens trigger an anti-silencing mechanism to overcome the host defense machinery. Among plant viruses, geminiviruses are the second largest virus family with a worldwide distribution and continue to be production constraints to food, feed, and fiber crops. These viruses are spread by a diverse group of insects, predominantly by whiteflies, and are characterized by a single-stranded DNA (ssDNA) genome coding for four to eight proteins that facilitate viral infection. The most effective means to managing these viruses is through an integrated disease management strategy that includes virus-resistant cultivars, vector management, and cultural practices. Dynamic changes in this virus family enable the species to manipulate their genome organization to respond to external changes in the environment. Therefore, the evolutionary nature of geminiviruses leads to new and novel approaches for developing virus-resistant cultivars and it is essential to study molecular ecology and evolution of geminiviruses. This review summarizes the multifunctionality of each geminivirus-encoded protein. These protein-based interactions trigger the abrupt changes in the host methyl cycle and signaling pathways that turn over protein normal production and impair the plant antiviral defense system. Studying these geminivirus interactions localized at cytoplasm-nucleus could reveal a more clear picture of host-pathogen relation. Data collected from this antagonistic relationship among geminivirus, vector, and its host, will provide extensive knowledge on their virulence mode and diversity with climate change.
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Affiliation(s)
- Hira Kamal
- Department of Plant Pathology, Washington State University, Pullman, Washington, USA
| | - Muhammad Mubashar Zafar
- Sanya Institute of Breeding and Multiplication, School of Tropical Agriculture and Forestry, Hainan University, Sanya, China
| | - Abdul Razzaq
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
| | - Aqsa Parvaiz
- Department of Biochemistry and Biotechnology, The Women University Multan, Multan, Pakistan
| | - Sezai Ercisli
- Department of Horticulture, Faculty of Agriculture, Ataturk University, Erzurum, Turkey
| | - Fei Qiao
- Sanya Institute of Breeding and Multiplication, School of Tropical Agriculture and Forestry, Hainan University, Sanya, China
| | - Xuefei Jiang
- Sanya Institute of Breeding and Multiplication, School of Tropical Agriculture and Forestry, Hainan University, Sanya, China
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Ehsan A, Tanveer K, Azhar M, Zahra Naqvi R, Jamil M, Mansoor S, Amin I, Asif M. Evaluation of BG, NPR1, and PAL in cotton plants through Virus Induced gene silencing reveals their role in whitefly stress. Gene 2024; 908:148282. [PMID: 38360122 DOI: 10.1016/j.gene.2024.148282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/26/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
Whitefly is one of the most hazardous insect pests that infests a wide range of host plants and causes huge damage to crop worldwide. In order to engineer plants resilient to whitefly stress, it is important to identify and validate the responsive genes by exploring the molecular dynamics of plants under stress conditions. In this study three genes BG, NPR1, and PAL genes have been studied in cotton for elucidating their role in whitefly stress response. Initially, insilico approach was utilized to investigate the domains and phylogeny of BG, NPR1 and PAL genes and found out that these genes showed remarkable resemblance in four cotton species Gossypium hirsutum, G. barbadense, G. arboreum, and G. raimondii. In BG proteins the main functional domain was X8 belonging to glycohydro superfamily, in NPR1 two main functional domains were BTB_POZ at N terminal and NPR1_like_C at C terminal. In PAL functional domain PLN was found which belongs to Lyase class I superfamily. The promoter analysis of these genes displayed enrichment of hormone, stress and stimuli responsive cis elements. Through Virus Induced Gene Silencing (VIGS), these genes were targeted and kept under whitefly infestation. Overall, the whitefly egg and nymph production were observed 60-70% less on gene down regulated plants as compared to control plants. The qPCR-based expression analysis of certain stress-responsive genes showed that in BG down regulated plants the elevated expression of these whitefly responsive genes was detected, in NPR1 down regulated plants JAZ1 and HSP were found up regulated, ERF1 and WRKY40 didn't show significant differential expression, while MAPK6 was slightly down regulated. In PAL down regulated plants ERF1 and JAZ1 showed elevated expression while others didn't show significant alternation. Differential expression in gene down-regulated plants showed that whitefly responsive genes act in a complex inter signaling pathway and their expression impact each other. This study provides valuable insight into the structural and functional analysis of important whitefly responsive genes BG, NPR1, and PAL. The results will pave a path to future development of whitefly resilient crops.
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Affiliation(s)
- Aiman Ehsan
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Khurram Tanveer
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Maryam Azhar
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Rubab Zahra Naqvi
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Mahnoor Jamil
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Shahid Mansoor
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Imran Amin
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Muhammad Asif
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Jhang Road, Faisalabad 38000, Pakistan.
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Hussain A, Khan AA, Aslam MQ, Nazar A, Zaman N, Amin A, Mahmood MA, Mukhtar MS, Rahman HUU, Farooq M, Saeed M, Amin I, Mansoor S. Comparative analysis, diversification, and functional validation of plant nucleotide-binding site domain genes. Sci Rep 2024; 14:11930. [PMID: 38789717 PMCID: PMC11126693 DOI: 10.1038/s41598-024-62876-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 05/22/2024] [Indexed: 05/26/2024] Open
Abstract
Nucleotide-binding site (NBS) domain genes are one of the superfamily of resistance genes involved in plant responses to pathogens. The current study identified 12,820 NBS-domain-containing genes across 34 species covering from mosses to monocots and dicots. These identified genes are classified into 168 classes with several novel domain architecture patterns encompassing significant diversity among plant species. Several classical (NBS, NBS-LRR, TIR-NBS, TIR-NBS-LRR, etc.) and species-specific structural patterns (TIR-NBS-TIR-Cupin_1-Cupin_1, TIR-NBS-Prenyltransf, Sugar_tr-NBS etc.) were discovered. We observed 603 orthogroups (OGs) with some core (most common orthogroups; OG0, OG1, OG2, etc.) and unique (highly specific to species; OG80, OG82, etc.) OGs with tandem duplications. The expression profiling presented the putative upregulation of OG2, OG6, and OG15 in different tissues under various biotic and abiotic stresses in susceptible and tolerant plants to cotton leaf curl disease (CLCuD). The genetic variation between susceptible (Coker 312) and tolerant (Mac7) Gossypium hirsutum accessions identified several unique variants in NBS genes of Mac7 (6583 variants) and Coker312 (5173 variants). The protein-ligand and proteins-protein interaction showed a strong interaction of some putative NBS proteins with ADP/ATP and different core proteins of the cotton leaf curl disease virus. The silencing of GaNBS (OG2) in resistant cotton through virus-induced gene silencing (VIGS) demonstrated its putative role in virus tittering. The presented study will be further helpful in understanding the plant adaptation mechanism.
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Affiliation(s)
- Athar Hussain
- National Institute for Biotechnology and Genetic Engineering, College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan.
- School of Food and Agricultural Sciences (SFAS), University of Management and Technology (UMT), Lahore, 54000, Pakistan.
| | - Aqsa Anwer Khan
- Department of Life Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Muhammad Qasim Aslam
- National Institute for Biotechnology and Genetic Engineering, College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan
| | - Aquib Nazar
- Department of Life Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Nadir Zaman
- Department of Life Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Ayesha Amin
- Department of Biological Sciences, Superior University, Lahore, 54000, Pakistan
| | - Muhammad Arslan Mahmood
- Plant Science Division, Research School of Biology, The Australian National University, Canberra, ACT, 2601, Australia
| | - M Shahid Mukhtar
- Biosystems Research Complex, Department of Genetics & Biochemistry, Clemson University, Clemson, SC, 29634, USA
| | - Hafiz Ubaid Ur Rahman
- School of Food and Agricultural Sciences (SFAS), University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Muhammed Farooq
- National Institute for Biotechnology and Genetic Engineering, College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan
| | - Muhammed Saeed
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau Abteilung Phytopathologie, Paul-Ehrlich-Straße 22, 67653, Kaiserslautern, Germany
| | - Imran Amin
- National Institute for Biotechnology and Genetic Engineering, College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan.
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering, College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan.
- Jamil ur Rehman Center for Genome Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 74000, Pakistan.
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Nadeem S, Riaz Ahmed S, Luqman T, Tan DKY, Maryum Z, Akhtar KP, Muhy Ud Din Khan S, Tariq MS, Muhammad N, Khan MKR, Liu Y. A comprehensive review on Gossypium hirsutum resistance against cotton leaf curl virus. Front Genet 2024; 15:1306469. [PMID: 38440193 PMCID: PMC10909863 DOI: 10.3389/fgene.2024.1306469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/01/2024] [Indexed: 03/06/2024] Open
Abstract
Cotton (Gossypium hirsutum L.) is a significant fiber crop. Being a major contributor to the textile industry requires continuous care and attention. Cotton is subjected to various biotic and abiotic constraints. Among these, biotic factors including cotton leaf curl virus (CLCuV) are dominant. CLCuV is a notorious disease of cotton and is acquired, carried, and transmitted by the whitefly (Bemisia tabaci). A cotton plant affected with CLCuV may show a wide range of symptoms such as yellowing of leaves, thickening of veins, upward or downward curling, formation of enations, and stunted growth. Though there are many efforts to protect the crop from CLCuV, long-term results are not yet obtained as CLCuV strains are capable of mutating and overcoming plant resistance. However, systemic-induced resistance using a gene-based approach remained effective until new virulent strains of CLCuV (like Cotton Leaf Curl Burewala Virus and others) came into existence. Disease control by biological means and the development of CLCuV-resistant cotton varieties are in progress. In this review, we first discussed in detail the evolution of cotton and CLCuV strains, the transmission mechanism of CLCuV, the genetic architecture of CLCuV vectors, and the use of pathogen and nonpathogen-based approaches to control CLCuD. Next, we delineate the uses of cutting-edge technologies like genome editing (with a special focus on CRISPR-Cas), next-generation technologies, and their application in cotton genomics and speed breeding to develop CLCuD resistant cotton germplasm in a short time. Finally, we delve into the current obstacles related to cotton genome editing and explore forthcoming pathways for enhancing precision in genome editing through the utilization of advanced genome editing technologies. These endeavors aim to enhance cotton's resilience against CLCuD.
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Affiliation(s)
- Sahar Nadeem
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Syed Riaz Ahmed
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
- Pakistan Agriculture Research Council (PARC), Horticulture Research Institute Khuzdar Baghbana, Khuzdar, Pakistan
| | - Tahira Luqman
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Daniel K. Y. Tan
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Zahra Maryum
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Khalid Pervaiz Akhtar
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Sana Muhy Ud Din Khan
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Muhammad Sayyam Tariq
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Nazar Muhammad
- Agriculture and Cooperative Department, Quetta, Pakistan
| | - Muhammad Kashif Riaz Khan
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
- Plant Breeding and Genetics Division, Cotton Group, Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan
| | - Yongming Liu
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, China
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Naqvi RZ, Mahmood MA, Mansoor S, Amin I, Asif M. Omics-driven exploration and mining of key functional genes for the improvement of food and fiber crops. FRONTIERS IN PLANT SCIENCE 2024; 14:1273859. [PMID: 38259913 PMCID: PMC10800452 DOI: 10.3389/fpls.2023.1273859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/08/2023] [Indexed: 01/24/2024]
Abstract
The deployment of omics technologies has obtained an incredible boost over the past few decades with the advances in next-generation sequencing (NGS) technologies, innovative bioinformatics tools, and the deluge of available biological information. The major omics technologies in the limelight are genomics, transcriptomics, proteomics, metabolomics, and phenomics. These biotechnological advances have modernized crop breeding and opened new horizons for developing crop varieties with improved traits. The genomes of several crop species are sequenced, and a huge number of genes associated with crucial economic traits have been identified. These identified genes not only provide insights into the understanding of regulatory mechanisms of crop traits but also decipher practical grounds to assist in the molecular breeding of crops. This review discusses the potential of omics technologies for the acquisition of biological information and mining of the genes associated with important agronomic traits in important food and fiber crops, such as wheat, rice, maize, potato, tomato, cassava, and cotton. Different functional genomics approaches for the validation of these important genes are also highlighted. Furthermore, a list of genes discovered by employing omics approaches is being represented as potential targets for genetic modifications by the latest genome engineering methods for the development of climate-resilient crops that would in turn provide great impetus to secure global food security.
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Affiliation(s)
- Rubab Zahra Naqvi
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
| | - Muhammad Arslan Mahmood
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
| | - Shahid Mansoor
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
- International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Imran Amin
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
| | - Muhammad Asif
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
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Jeevalatha A, Siddappa S, Kumar R, Tiwari RK, Lal MK, Sharma S, Chakrabarti SK, Singh BP. RNA-seq analysis reveals an early defense response to tomato leaf curl New Delhi virus in potato cultivar Kufri Bahar. Funct Integr Genomics 2023; 23:215. [PMID: 37389664 DOI: 10.1007/s10142-023-01138-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/06/2023] [Accepted: 06/15/2023] [Indexed: 07/01/2023]
Abstract
Potatoes in India are very susceptible to apical leaf curl disease, which causes severe symptoms and greater yield losses. Because the majority of potato cultivars are susceptible to the virus, it is crucial to discover sources of resistance and investigate the mechanism of resistance/susceptibility in potato cultivars. In this study, the gene expression profile of two potato cultivars, Kufri Bahar (resistant) and Kufri Pukhraj (susceptible), varying in their level of resistance to ToLCNDV, was analyzed using RNA-Seq. The Ion ProtonTM system was used to sequence eight RiboMinus RNA libraries from inoculated and uninoculated potato plants at 15 and 20 days after inoculation (DAI). The findings indicated that the majority of differentially expressed genes (DEGs) were cultivar-or time-specific. These DEGs included genes for proteins that interact with viruses, genes linked with the cell cycle, genes for proteins involved in defense, transcription and translation initiation factors, and plant hormone signaling pathway genes. Interestingly, defense responses were generated early in Kufri Bahar, at 15 DAI, which may have impeded the replication and spread of ToLCNDV. This research provides a genome-wide transcriptional analysis of two potato cultivars with variable levels of ToLCNDV resistance. At an early stage, we observed suppression of genes that interact with viral proteins, induction of genes associated with restriction of cell division, genes encoding defense proteins, AP2/ERF transcription factors, and altered expression of zinc finger protein genes, HSPs, JA, and SA pathway-related genes. Our findings add to a greater comprehension of the molecular basis of potato resistance to ToLCNDV and may aid in the development of more effective disease management techniques.
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Affiliation(s)
- Arjunan Jeevalatha
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India
- ICAR- Indian Institute of Spices Research, Kozhikode, 673 012, Kerala, India
| | - Sundaresha Siddappa
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India
| | - Ravinder Kumar
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India.
| | - Rahul Kumar Tiwari
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India.
| | - Milan Kumar Lal
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India
| | - Sanjeev Sharma
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India
| | | | - Bir Pal Singh
- ICAR- Central Potato Research Institute, Shimla, 171 001, Himachal Pradesh, India
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Owusu AG, Lv YP, Liu M, Wu Y, Li CL, Guo N, Li DH, Gao JS. Transcriptomic and metabolomic analyses reveal the potential mechanism of waterlogging resistance in cotton ( Gossypium hirsutum L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1088537. [PMID: 37409297 PMCID: PMC10319419 DOI: 10.3389/fpls.2023.1088537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 04/10/2023] [Indexed: 07/07/2023]
Abstract
Introduction Cotton (Gossypium hirsutum L.) is susceptible to long-term waterlogging stress; however, genomic information of cotton response mechanisms toward long days of waterlogging is quite elusive. Methods Here, we combined the transcriptome and metabolome expression level changes in cotton roots after 10 and 20 days of waterlogging stress treatment pertaining to potential resistance mechanisms in two cotton genotypes. Results and discussion Numerous adventitious roots and hypertrophic lenticels were induced in CJ1831056 and CJ1831072. Transcriptome analysis revealed 101,599 differentially expressed genes in cotton roots with higher gene expression after 20 days of stress. Reactive oxygen species (ROS) generating genes, antioxidant enzyme genes, and transcription factor genes (AP2, MYB, WRKY, and bZIP) were highly responsive to waterlogging stress among the two genotypes. Metabolomics results showed higher expressions of stress-resistant metabolites sinapyl alcohol, L-glutamic acid, galactaric acid, glucose 1-phosphate, L-valine, L-asparagine, and melibiose in CJ1831056 than CJ1831072. Differentially expressed metabolites (adenosine, galactaric acid, sinapyl alcohol, L-valine, L-asparagine, and melibiose) significantly correlated with the differentially expressed PRX52, PER1, PER64, and BGLU11 transcripts. This investigation reveals genes for targeted genetic engineering to improve waterlogging stress resistance to enhance abiotic stress regulatory mechanisms in cotton at the transcript and metabolic levels of study.
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Kumar N, Mishra BK, Liu J, Mohan B, Thingujam D, Pajerowska-Mukhtar KM, Mukhtar MS. Network Biology Analyses and Dynamic Modeling of Gene Regulatory Networks under Drought Stress Reveal Major Transcriptional Regulators in Arabidopsis. Int J Mol Sci 2023; 24:ijms24087349. [PMID: 37108512 PMCID: PMC10139068 DOI: 10.3390/ijms24087349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 04/02/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
Drought is one of the most serious abiotic stressors in the environment, restricting agricultural production by reducing plant growth, development, and productivity. To investigate such a complex and multifaceted stressor and its effects on plants, a systems biology-based approach is necessitated, entailing the generation of co-expression networks, identification of high-priority transcription factors (TFs), dynamic mathematical modeling, and computational simulations. Here, we studied a high-resolution drought transcriptome of Arabidopsis. We identified distinct temporal transcriptional signatures and demonstrated the involvement of specific biological pathways. Generation of a large-scale co-expression network followed by network centrality analyses identified 117 TFs that possess critical properties of hubs, bottlenecks, and high clustering coefficient nodes. Dynamic transcriptional regulatory modeling of integrated TF targets and transcriptome datasets uncovered major transcriptional events during the course of drought stress. Mathematical transcriptional simulations allowed us to ascertain the activation status of major TFs, as well as the transcriptional intensity and amplitude of their target genes. Finally, we validated our predictions by providing experimental evidence of gene expression under drought stress for a set of four TFs and their major target genes using qRT-PCR. Taken together, we provided a systems-level perspective on the dynamic transcriptional regulation during drought stress in Arabidopsis and uncovered numerous novel TFs that could potentially be used in future genetic crop engineering programs.
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Affiliation(s)
- Nilesh Kumar
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
| | - Bharat K Mishra
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
| | - Jinbao Liu
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
| | - Binoop Mohan
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
| | - Doni Thingujam
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
| | - Karolina M Pajerowska-Mukhtar
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
| | - M Shahid Mukhtar
- Department of Biology, 464 Campbell Hall, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA
- Nutrition Obesity Research Center, University of Alabama at Birmingham, 1675 University Boulevard, Birmingham, AL 35294, USA
- Department of Surgery, University of Alabama at Birmingham, 1808 7th Ave S, Birmingham, AL 35294, USA
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10
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Lv YP, Zhao G, Xie YF, Owusu AG, Wu Y, Gao JS. Transcriptome and Metabolome Profiling Unveil Pigment Formation Variations in Brown Cotton Lines (Gossypium hirsutum L.). Int J Mol Sci 2023; 24:ijms24065249. [PMID: 36982328 PMCID: PMC10049672 DOI: 10.3390/ijms24065249] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 02/23/2023] [Accepted: 03/01/2023] [Indexed: 03/12/2023] Open
Abstract
Naturally brown colored cotton (NBCC) is becoming increasingly popular due to its natural properties of coloration. However, poor fiber quality and color fading are key issues that are hindering the cultivation of naturally colored cotton. In this study, based on transcriptome and metabolome of 18 days post-anthesis (DPA), we compared the variations of pigment formation in two brown cotton fibers (DCF and LCF), with white cotton fiber (WCF) belonging to a near-isogenic line. A transcriptome study revealed a total of 15,785 differentially expressed genes significantly enriched in the flavonoid biosynthesis pathway. Furthermore, for flavonoid biosynthesis-related genes, such as flavonoid 3′5′-hydroxylase (F3′5′H), anthocyanidin synthase (ANS), anthocyanidin reductase (ANR), chalcone synthase (CHS), dihydroflavonol 4-reductase (DFR), and chalcone isomerase (CHI), their expressions significantly increased in LCF compared with DCF and WCF. Moreover, transcription factors MYB and bHLH were significantly expressed in LCF and DCF. Most flavonoid-related metabolites (myricetin naringenin, catechin, epicatechin-epiafzelechin, and epigallocatechin) were found to be more highly up-regulated in LCF and DCF than WCF. These findings reveal the regulatory mechanism controlling different brown pigmentation in cotton fibers and elucidate the need for the proper selection of high-quality brown cotton fiber breeding lines for promising fiber quality and durable brown color pigmentation.
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11
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Transcriptome diversity assessment of Gossypium arboreum (FDH228) leaves under control, drought and whitefly infestation using PacBio long reads. Gene 2023; 852:147065. [PMID: 36435508 DOI: 10.1016/j.gene.2022.147065] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 11/08/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
Alternative splicing (AS) and alternative polyadenylation (APA) are common mechanisms in eukaryotes to increase the complexity of transcriptomes and subsequently proteomes. Analysis of long reads transcriptomics data can result in the discovery of novel transcripts, splice sites, AS or APA events. Gossypium arboreum is an important cultivated cotton species and a putative contributor of the A sub-genome to the modern tetraploid cotton; and inherently tolerant to several biotic and abiotic stresses. Specifically, its variety 'FDH228' is considered to be an important resistance source. In this study, we sequenced the G. arboreum (var. FDH228) transcriptome using PacBio IsoSeq and illumina short read sequencing under three different conditions i.e. untreated/healthy, treated with biotic stress through whitefly infestation, and treated with abiotic stress via water deprivation, for the discovery and surveying of canonical and non-canonical AS, APA and transcript fusion events. We were able to obtain 15,419 unique transcripts from all samples representing 11,343 genes, out of which 10,832 were annotated and 520 were novel with respect to the published reference genome. These transcripts were grouped into different structural categories including 60 Antisense, 11,959 having a full-splice match, 999 with incomplete-splice match, 30 fusion transcripts, 177 genic, 479 intergenic, 771 novels in the catalog, and 944 Novel but not found in the catalog. Subsequently, randomly selected candidate transcripts were experimentally validated using qRT-PCR. Our comprehensive identification of canonical and non-canonical splicing events, and novel and fusion transcripts aids in the understanding of the resistance mechanisms for this specific germplasm.
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12
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Hussain A, Farooq M, Naqvi RZ, Aslam MQ, Siddiqui HA, Amin I, Liu C, Liu X, Scheffler J, Asif M, Mansoor S. Whole-Genome Resequencing Deciphers New Insight Into Genetic Diversity and Signatures of Resistance in Cultivated Cotton Gossypium hirsutum. Mol Biotechnol 2023; 65:34-51. [PMID: 35778659 DOI: 10.1007/s12033-022-00527-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 06/07/2022] [Indexed: 01/11/2023]
Abstract
Cotton is an important crop that produces fiber and cottonseed oil for the textile and oil industry. However, cotton leaf curl virus disease (CLCuD) stress is limiting its yield in several Asian countries. In this study, we have sequenced Mac7 accession, a Gossypium hirsutum resistance source against several biotic stresses. By aligning with the Gossypium hirsutum (AD1) 'TM-1' genome, a total of 4.7 and 1.2 million SNPs and InDels were identified in the Mac7 genome. The gene ontology and metabolic pathway enrichment indicated SNPs and InDels role in nucleotide bindings, secondary metabolite synthesis, and plant-pathogen interaction pathways. Furthermore, the RNA-seq data in different tissues and qPCR expression profiling under CLCuD provided individual gene roles in resistant and susceptible accessions. Interestingly, the differential NLR genes demonstrated higher expression in resistant plants rather than in susceptible plants expression. The current resequencing results may provide primary data to identify DNA resistance markers which will be helpful in marker-assisted breeding for development of Mac7-derived resistance lines.
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Affiliation(s)
- Athar Hussain
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Muhammad Farooq
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan.,Bioinformatics Group, Wageningen University & Research (WUR), Wageningen, Netherlands
| | - Rubab Zahra Naqvi
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Muhammad Qasim Aslam
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Hamid Anees Siddiqui
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Imran Amin
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | | | - Xin Liu
- Beijing Genomics Institute (BGI), Shenzhen, China
| | - Jodi Scheffler
- Genomics and Bioinformatics Research Unit, United States Department of Agriculture-Agricultural Research Service, USDA-ARS), 141 Experimental Station Road, Stoneville, MS, USA
| | - Muhammad Asif
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan.
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13
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Kumar N, Mishra B, Mukhtar MS. A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions. STAR Protoc 2022; 3:101608. [PMID: 35990739 PMCID: PMC9386103 DOI: 10.1016/j.xpro.2022.101608] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Investigating the complexity of host-pathogen interactions is challenging. Here, we outline a pipeline to identify important proteins and signaling molecules in human-viral interactomes. Firstly, we curate a comprehensive human interactome. Subsequently, we infer viral targets and transcriptome-specific human interactomes (VTTSHI) for papillomavirus and herpes viruses by integrating viral targets and transcriptome data. Finally, we reveal the common and shared nodes and pathways in viral pathogenesis following network topology and pathway enrichment analyses. For complete details on the use and execution of this protocol, please refer to Kumar et al. (2020). Protocol for integrative analysis of transcriptome and proteome network data Network subgroup enrichment of two host-pathogen interaction networks Preprocessing of data and heterogeneous network integration
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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Affiliation(s)
- Nilesh Kumar
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
| | - Bharat Mishra
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - M Shahid Mukhtar
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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14
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Hussain A, Liu J, Mohan B, Burhan A, Nasim Z, Bano R, Ameen A, Zaynab M, Mukhtar MS, Pajerowska-Mukhtar KM. A genome-wide comparative evolutionary analysis of zinc finger-BED transcription factor genes in land plants. Sci Rep 2022; 12:12328. [PMID: 35853967 PMCID: PMC9296551 DOI: 10.1038/s41598-022-16602-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 07/12/2022] [Indexed: 11/09/2022] Open
Abstract
Zinc finger (Zf)-BED proteins are a novel superfamily of transcription factors that controls numerous activities in plants including growth, development, and cellular responses to biotic and abiotic stresses. Despite their important roles in gene regulation, little is known about the specific functions of Zf-BEDs in land plants. The current study identified a total of 750 Zf-BED-encoding genes in 35 land plant species including mosses, bryophytes, lycophytes, gymnosperms, and angiosperms. The gene family size was somewhat proportional to genome size. All identified genes were categorized into 22 classes based on their specific domain architectures. Of these, class I (Zf-BED_DUF-domain_Dimer_Tnp_hAT) was the most common in the majority of the land plants. However, some classes were family-specific, while the others were species-specific, demonstrating diversity at different classification levels. In addition, several novel functional domains were also predicated including WRKY and nucleotide-binding site (NBS). Comparative genomics, transcriptomics, and proteomics provided insights into the evolutionary history, duplication, divergence, gene gain and loss, species relationship, expression profiling, and structural diversity of Zf-BEDs in land plants. The comprehensive study of Zf-BEDs in Gossypium sp., (cotton) also demonstrated a clear footprint of polyploidization. Overall, this comprehensive evolutionary study of Zf-BEDs in land plants highlighted significant diversity among plant species.
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Affiliation(s)
- Athar Hussain
- Genomics Lab, School of Food and Agricultural Sciences (SFAS), University of Management and Technology (UMT), Lahore, 54770, Pakistan
| | - Jinbao Liu
- Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL, 35294, USA
| | - Binoop Mohan
- Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL, 35294, USA
| | - Akif Burhan
- Department of Life Science, University of Management and Technology (UMT), Lahore, 54770, Pakistan
| | - Zunaira Nasim
- Department of Life Science, University of Management and Technology (UMT), Lahore, 54770, Pakistan
| | - Raveena Bano
- Department of Life Science, University of Management and Technology (UMT), Lahore, 54770, Pakistan
| | - Ayesha Ameen
- Office of Research Innovation and Commercialization, University of Management and Technology, Lahore, 54770, Pakistan
| | - Madiha Zaynab
- Shenzhen Key Laboratory of Marine Bioresource and Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 51807, Guangdong, China
| | - M Shahid Mukhtar
- Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL, 35294, USA.
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15
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Hussain A, Asif N, Pirzada AR, Noureen A, Shaukat J, Burhan A, Zaynab M, Ali E, Imran K, Ameen A, Mahmood MA, Nazar A, Mukhtar MS. Genome wide study of cysteine rich receptor like proteins in Gossypium sp. Sci Rep 2022; 12:4885. [PMID: 35318409 PMCID: PMC8941122 DOI: 10.1038/s41598-022-08943-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 03/11/2022] [Indexed: 02/08/2023] Open
Abstract
Cysteine-rich receptor-like-kinases (CRKs), a transmembrane subfamily of receptor-like kinase, play crucial roles in plant adaptation. As such cotton is the major source of fiber for the textile industry, but environmental stresses are limiting its growth and production. Here, we have performed a deep computational analysis of CRKs in five Gossypium species, including G. arboreum (60 genes), G. raimondii (74 genes), G. herbaceum (65 genes), G. hirsutum (118 genes), and G. barbadense (120 genes). All identified CRKs were classified into 11 major classes and 43 subclasses with the finding of several novel CRK-associated domains including ALMT, FUSC_2, Cript, FYVE, and Pkinase. Of these, DUF26_DUF26_Pkinase_Tyr was common and had elevated expression under different biotic and abiotic stresses. Moreover, the 35 land plants comparison identified several new CRKs domain-architectures. Likewise, several SNPs and InDels were observed in CLCuD resistant G. hirsutum. The miRNA target side prediction and their expression profiling in different tissues predicted miR172 as a major CRK regulating miR. The expression profiling of CRKs identified multiple clusters with co-expression under certain stress conditions. The expression analysis under CLCuD highlighted the role of GhCRK057, GhCRK059, GhCRK058, and GhCRK081 in resistant accession. Overall, these results provided primary data for future potential functional analysis as well as a reference study for other agronomically important crops.
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Affiliation(s)
- Athar Hussain
- Genomics Lab, School of Food and Agricultural Sciences (SFAS), University of Management and Technology (UMT), Lahore, 54000, Pakistan.
| | - Naila Asif
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Abdul Rafay Pirzada
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Azka Noureen
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan.,PMAS-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan
| | - Javeria Shaukat
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Akif Burhan
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Madiha Zaynab
- Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 51807, China
| | - Ejaz Ali
- Center of Excellence in Molecular Biology, University of Punjab, Lahore, 54000, Pakistan
| | - Koukab Imran
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Ayesha Ameen
- Office of Research Innovation and Commercialization, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Muhammad Arslan Mahmood
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan
| | - Aquib Nazar
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - M Shahid Mukhtar
- Department of Biology, the University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL, 35294, USA
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16
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Ali MA, Khan MAU, Rao AQ, Iqbal A, Din SU, Shahid AA. Biochemical evidence of epicuticular wax compounds involved in cotton-whitefly interaction. PLoS One 2021; 16:e0250902. [PMID: 33945542 PMCID: PMC8096116 DOI: 10.1371/journal.pone.0250902] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/15/2021] [Indexed: 11/18/2022] Open
Abstract
Sucking insects require a surface of plants on which the legs and the eggs of insects will adhere and to which insect mouthparts will access. The primary plant protection against insects is their surface property, which hinders the attachment of the insect’s legs and eggs. The epicuticular waxes chemistry influences the fine structure of the cuticular surface. In current study, an attempt was made to investigate the variation of chemical compounds in epicuticular waxes of four cotton species that classify them resistant or susceptible i.e., Gossypium abroreum, G. hirsutum, G. arboreum wax deficient mutant (GaWM3) and G. harknessi which were evaluated for their interaction with whitefly and CLCuV transmission. Gossypium hirsutum an insect and CLCuV susceptible cotton variety, was found to have four compounds namely Trichloroacetic acid, hexadecylester, P-xylenolpthalein, 2-cyclopentene-1-ol, 1-phenyl-and Phenol, 2,5-bis [1,1- dimethyl] which could interact with chitin of whitefly while only two compounds in Gossypium arboreum an insect and CLCuV resistant cotton variety could interact with chitin of whitefly. Similarly, GaWM3 and Gossypium harkasnessi were found to have only a single compound. Number of whiteflies found on leaves of G. hirsutum was much higher as compared to other cotton species. Keeping this fact in mind a wax biosynthetic gene CER3, from Arabidopsis thaliana was transformed into G. hirsutum and the plants were evaluated for their resistance against whitefly and CLCuV transmission. In microscopic analysis transgenic plants clearly showed higher amounts of leaf waxes as compared to non-transgenics. The least whitefly population and CLCuV titer of <10,000 units was found in transgenic plants compared to non-transgenic cotton where it was ≈4.5X106 units that confirmed the role of wax in insect interaction and ultimately to CLCuV transmission. This study provides novel insight on wax related compounds involved in cotton-whitefly interaction, which potentially can help in developing more efficient control strategies for this destructive pest.
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Affiliation(s)
- Muhammad Azam Ali
- Center of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore, Pakistan
- * E-mail:
| | | | - Abdul Qayyum Rao
- Center of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore, Pakistan
| | - Adnan Iqbal
- Center of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore, Pakistan
| | - Salah ud Din
- Center of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore, Pakistan
| | - Ahmad Ali Shahid
- Center of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore, Pakistan
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17
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Qiao F, Yang X, Xu F, Huang Y, Zhang J, Song M, Zhou S, Zhang M, He D. TMT-based quantitative proteomic analysis reveals defense mechanism of wheat against the crown rot pathogen Fusarium pseudograminearum. BMC PLANT BIOLOGY 2021; 21:82. [PMID: 33557748 PMCID: PMC7869478 DOI: 10.1186/s12870-021-02853-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 01/24/2021] [Indexed: 05/24/2023]
Abstract
BACKGROUND Fusarium crown rot is major disease in wheat. However, the wheat defense mechanisms against this disease remain poorly understood. RESULTS Using tandem mass tag (TMT) quantitative proteomics, we evaluated a disease-susceptible (UC1110) and a disease-tolerant (PI610750) wheat cultivar inoculated with Fusarium pseudograminearum WZ-8A. The morphological and physiological results showed that the average root diameter and malondialdehyde content in the roots of PI610750 decreased 3 days post-inoculation (dpi), while the average number of root tips increased. Root vigor was significantly increased in both cultivars, indicating that the morphological, physiological, and biochemical responses of the roots to disease differed between the two cultivars. TMT analysis showed that 366 differentially expressed proteins (DEPs) were identified by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment in the two comparison groups, UC1110_3dpi/UC1110_0dpi (163) and PI610750_3dpi/PI610750_0dpi (203). It may be concluded that phenylpropanoid biosynthesis (8), secondary metabolite biosynthesis (12), linolenic acid metabolites (5), glutathione metabolism (8), plant hormone signal transduction (3), MAPK signaling pathway-plant (4), and photosynthesis (12) contributed to the defense mechanisms in wheat. Protein-protein interaction network analysis showed that the DEPs interacted in both sugar metabolism and photosynthesis pathways. Sixteen genes were validated by real-time quantitative polymerase chain reaction and were found to be consistent with the proteomics data. CONCLUSION The results provided insight into the molecular mechanisms of the interaction between wheat and F. pseudograminearum.
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Affiliation(s)
- Fangfang Qiao
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Xiwen Yang
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Fengdan Xu
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Yuan Huang
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Jiemei Zhang
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Miao Song
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Sumei Zhou
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China
| | - Meng Zhang
- College of Plant Protection, Henan Agricultural University, Zhengzhou, 450002, Henan, China.
| | - Dexian He
- College of Agronomy, Henan Agricultural University/ National Engineering Research Center for Wheat/ Co-construction State Key Laboratory of Wheat and Maize Crop Science/ Collaborative Innovation Center of Henan Grain Crops, 15 Longzihu College District, Zhengzhou, 450046, China.
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18
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Kumar N, Mishra B, Athar M, Mukhtar S. Inference of Gene Regulatory Network from Single-Cell Transcriptomic Data Using pySCENIC. Methods Mol Biol 2021; 2328:171-182. [PMID: 34251625 DOI: 10.1007/978-1-0716-1534-8_10] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
With the advent of recent next-generation sequencing (NGS) technologies in genomics, transcriptomics, and epigenomics, profiling single-cell sequencing became possible. The single-cell RNA sequencing (scRNA-seq) is widely used to characterize diverse cell populations and ascertain cell type-specific regulatory mechanisms. The gene regulatory network (GRN) mainly consists of genes and their regulators-transcription factors (TF). Here, we describe the lightning-fast Python implementation of the SCENIC (Single-Cell reEgulatory Network Inference and Clustering) pipeline called pySCENIC. Using single-cell RNA-seq data, it maps TFs onto gene regulatory networks and integrates various cell types to infer cell-specific GRNs. There are two fast and efficient GRN inference algorithms, GRNBoost2 and GENIE3, optionally available with pySCENIC. The pipeline has three steps: (1) identification of potential TF targets based on co-expression; (2) TF-motif enrichment analysis to identify the direct targets (regulons); and (3) scoring the activity of regulons (or other gene sets) on single cell types.
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Affiliation(s)
- Nilesh Kumar
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Bharat Mishra
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mohammad Athar
- Department of Dermatology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Shahid Mukhtar
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
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19
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Mishra B, Kumar N, Liu J, Pajerowska-Mukhtar KM. Dynamic Regulatory Event Mining by iDREM in Large-Scale Multi-omics Datasets During Biotic and Abiotic Stress in Plants. Methods Mol Biol 2021; 2328:191-202. [PMID: 34251627 DOI: 10.1007/978-1-0716-1534-8_12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The system-wide complexity of genome regulation encoding the organism phenotypic diversity is well understood. However, a major challenge persists about the appropriate method to describe the systematic dynamic genome regulation event utilizing enormous multi-omics datasets. Here, we describe Interactive Dynamic Regulatory Events Miner (iDREM) which reconstructs gene-regulatory networks from temporal transcriptome, proteome, and epigenome datasets during stress to envisage "master" regulators by simulating cascades of temporal transcription-regulatory and interactome events. The iDREM is a Java-based software that integrates static and time-series transcriptomics and proteomics datasets, transcription factor (TF)-target interactions, microRNA (miRNA)-target interaction, and protein-protein interactions to reconstruct temporal regulatory network and identify significant regulators in an unsupervised manner. The hidden Markov model detects specialized manipulated pathways as well as genes to recognize statistically significant regulators (TFs/miRNAs) that diverge in temporal activity. This method can be translated to any biotic or abiotic stress in plants and animals to predict the master regulators from condition-specific multi-omics datasets including host-pathogen interactions for comprehensive understanding of manipulated biological pathways.
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Affiliation(s)
- Bharat Mishra
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nilesh Kumar
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jinbao Liu
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA
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