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Padhiyar SM, Kheni J, Bhatt SB, Desai H, Tomar RS. Transcriptome profiling of barnyard millet ( Echinochloa frumentacea L.) during grain development to reveal the genomic insights into iron accumulation. Heliyon 2024; 10:e30925. [PMID: 38778996 PMCID: PMC11109794 DOI: 10.1016/j.heliyon.2024.e30925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
In the realm of food nutritional security, the development of mineral-rich grains assumes a pivotal role in combating malnutrition. Within the scope of the current investigation, we endeavoured to discern the transcripts accountable for the improved accumulation of grain-Fe within Indian barnyard millet. This pursuit entailed transcriptome sequencing of genotypes BAR-1433 (with high Fe content) and BAR-1423 (with low Fe content) during two distinct stages of spike development-spike emergence and milking stage. In the context of spike emergence, we identified a cohort of 895 up-regulated transcripts and 126 down-regulated transcripts that delineated the difference between the high and low grain-Fe genotypes. In contrast, during the milking stage, the tally of up-regulated transcripts reached 436, while down-regulated transcripts numbered 285. The transcripts that consistently ascended in both developmental stages underwent functional annotation, aligning their roles with nucleolar proteins, metal-nicotianamine transporters, ribonucleoprotein complexes, vinorine synthases, cellulose synthases, auxin response factors, embryogenesis abundant proteins, cytochrome c oxidases, and zinc finger BED domain-containing proteins. Meanwhile, a heterogeneous spectrum of transcripts exhibited differential expression and upregulation throughout the distinct stages. These transcripts encompassed various facets, such as ABC Transporter family proteins, Calcium-dependent kinase family, Ferritin, Metal ion binding, Iron-sulfur cluster binding, Cytochrome family, Zinc finger transcription factor family, Ferredoxin-NADP reductase type 1 family, Putative laccase, Multicopper oxidase family, and Terpene synthase family. To authenticate the reliability of these transcripts, six contigs representing probable functions, including metal transporters, iron sulfur coordination, metal ion binding, auxin-responsive GH3-like protein 2, and cytochrome P450 71B16, were harnessed for primer design. Subsequently, these primers were utilized in the validation process through qRT-PCR, with the outcomes aligning harmoniously with the transcriptome results. This study chronicles a constellation of genes linked to elevated iron content within barnyard millet, showcasing a proof of concept for leveraging transcriptome insights in marker-assisted selection to fortify barnyard millet with iron. This marks the inaugural comprehensive transcriptome analysis delineating transcripts associated with varying levels of grain-iron content during the panicle developmental stages within the barnyard millet paradigm.
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Affiliation(s)
- Shital M. Padhiyar
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, 362001, Gujarat, India
| | - Jasminkumar Kheni
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, 362001, Gujarat, India
| | - Shraddha B. Bhatt
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, 362001, Gujarat, India
| | - Hiral Desai
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, 362001, Gujarat, India
| | - Rukam S. Tomar
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, 362001, Gujarat, India
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Wang R, Bai B, Li D, Wang J, Huang W, Wu Y, Zhao L. Phytoplasma: A plant pathogen that cannot be ignored in agricultural production-Research progress and outlook. MOLECULAR PLANT PATHOLOGY 2024; 25:e13437. [PMID: 38393681 PMCID: PMC10887288 DOI: 10.1111/mpp.13437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/01/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024]
Abstract
Phytoplasmas are phloem-restricted plant-pathogenic bacteria transmitted by insects. They cause diseases in a wide range of host plants, resulting in significant economic and ecological losses worldwide. Research on phytoplasmas has a long history, with significant progress being made in the past 30 years. Notably, with the rapid development of phytoplasma research, scientists have identified the primary agents involved in phytoplasma transmission, established classification and detection systems for phytoplasmas, and 243 genomes have been sequenced and assembled completely or to draft quality. Multiple possible phytoplasma effectors have been investigated, elucidating the molecular mechanisms by which phytoplasmas manipulate their hosts. This review summarizes recent advances in phytoplasma research, including identification techniques, host range studies, whole- or draft-genome sequencing, effector pathogenesis and disease control methods. Additionally, future research directions in the field of phytoplasma research are discussed.
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Affiliation(s)
- Ruotong Wang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency ProductionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Bixin Bai
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency ProductionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Danyang Li
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency ProductionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Jingke Wang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency ProductionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Weijie Huang
- Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghaiChina
| | - Yunfeng Wu
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency ProductionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Lei Zhao
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency ProductionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
- Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
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Wang S, Wang S, Li M, Su Y, Sun Z, Ma H. Combined transcriptome and metabolome analysis of Nerium indicum L. elaborates the key pathways that are activated in response to witches' broom disease. BMC PLANT BIOLOGY 2022; 22:291. [PMID: 35701735 PMCID: PMC9199210 DOI: 10.1186/s12870-022-03672-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 05/27/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND Nerium indicum Mill. is an ornamental plant that is found in parks, riversides, lakesides, and scenic areas in China and other parts of the world. Our recent survey indicated the prevalence of witches' broom disease (WBD) in Guangdong, China. To find out the possible defense strategies against WBD, we performed a MiSeq based ITS sequencing to identify the possible casual organism, then did a de novo transcriptome sequencing and metabolome profiling in the phloem and stem tip of N. indicum plants suffering from WBD compared to healthy ones. RESULTS The survey showed that Wengyuen county and Zengcheng district had the highest disease incidence rates. The most prevalent microbial species in the diseased tissues was Cophinforma mamane. The transcriptome sequencing resulted in the identification of 191,224 unigenes of which 142,396 could be annotated. There were 19,031 and 13,284 differentially expressed genes (DEGs) between diseased phloem (NOWP) and healthy phloem (NOHP), and diseased stem (NOWS) and healthy stem (NOHS), respectively. The DEGs were enriched in MAPK-signaling (plant), plant-pathogen interaction, plant-hormone signal transduction, phenylpropanoid and flavonoid biosynthesis, linoleic acid and α-linoleic acid metabolism pathways. Particularly, we found that N. indicum plants activated the phytohormone signaling, MAPK-signaling cascade, defense related proteins, and the biosynthesis of phenylpropanoids and flavonoids as defense responses to the pathogenic infection. The metabolome profiling identified 586 metabolites of which 386 and 324 metabolites were differentially accumulated in NOHP vs NOWP and NOHS and NOWS, respectively. The differential accumulation of metabolites related to phytohormone signaling, linoleic acid metabolism, phenylpropanoid and flavonoid biosynthesis, nicotinate and nicotinamide metabolism, and citrate cycle was observed, indicating the role of these pathways in defense responses against the pathogenic infection. CONCLUSION Our results showed that Guangdong province has a high incidence of WBD in most of the surveyed areas. C. mamane is suspected to be the causing pathogen of WBD in N. indicum. N. indicum initiated the MAPK-signaling cascade and phytohormone signaling, leading to the activation of pathogen-associated molecular patterns and hypersensitive response. Furthermore, N. indicum accumulated high concentrations of phenolic acids, coumarins and lignans, and flavonoids under WBD. These results provide scientific tools for the formulation of control strategies of WBD in N. indicum.
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Affiliation(s)
- Shengjie Wang
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Shengkun Wang
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Ming Li
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Yuhang Su
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Zhan Sun
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Haibin Ma
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
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Satyavathi CT, Tomar RS, Ambawat S, Kheni J, Padhiyar SM, Desai H, Bhatt SB, Shitap MS, Meena RC, Singhal T, Sankar SM, Singh SP, Khandelwal V. Stage specific comparative transcriptomic analysis to reveal gene networks regulating iron and zinc content in pearl millet [Pennisetum glaucum (L.) R. Br.]. Sci Rep 2022; 12:276. [PMID: 34997160 PMCID: PMC8742121 DOI: 10.1038/s41598-021-04388-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
Pearl millet is an important staple food crop of poor people and excels all other cereals due to its unique features of resilience to adverse climatic conditions. It is rich in micronutrients like iron and zinc and amenable for focused breeding for these micronutrients along with high yield. Hence, this is a key to alleviate malnutrition and ensure nutritional security. This study was conducted to identify and validate candidate genes governing grain iron and zinc content enabling the desired modifications in the genotypes. Transcriptome sequencing using ION S5 Next Generation Sequencer generated 43.5 million sequence reads resulting in 83,721 transcripts with N50 of 597 bp and 84.35% of transcripts matched with the pearl millet genome assembly. The genotypes having high iron and zinc showed differential gene expression during different stages. Of which, 155 were up-regulated and 251 were down-regulated while during flowering stage and milking stage 349 and 378 transcripts were differentially expressed, respectively. Gene annotation and GO term showed the presence of transcripts involved in metabolic activities associated with uptake and transport of iron and zinc. Information generated will help in gaining insights into iron and zinc metabolism and develop genotypes with high yield, grain iron and zinc content.
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Affiliation(s)
- C Tara Satyavathi
- ICAR-AICRP on Pearl Millet, Agriculture University, Jodhpur, Rajasthan, 342 304, India.
| | - Rukam S Tomar
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - Supriya Ambawat
- ICAR-AICRP on Pearl Millet, Agriculture University, Jodhpur, Rajasthan, 342 304, India
| | - Jasminkumar Kheni
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - Shital M Padhiyar
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - Hiralben Desai
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - S B Bhatt
- Department of Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - M S Shitap
- Department of Agricultural Statistics, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - Ramesh Chand Meena
- ICAR-AICRP on Pearl Millet, Agriculture University, Jodhpur, Rajasthan, 342 304, India
| | - Tripti Singhal
- Division of Genetics, Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - S Mukesh Sankar
- Division of Genetics, Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - S P Singh
- Division of Genetics, Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - Vikas Khandelwal
- ICAR-AICRP on Pearl Millet, Agriculture University, Jodhpur, Rajasthan, 342 304, India
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Rane NR, Tapase S, Kanojia A, Watharkar A, Salama ES, Jang M, Kumar Yadav K, Amin MA, Cabral-Pinto MMS, Jadhav JP, Jeon BH. Molecular insights into plant-microbe interactions for sustainable remediation of contaminated environment. BIORESOURCE TECHNOLOGY 2022; 344:126246. [PMID: 34743992 DOI: 10.1016/j.biortech.2021.126246] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/24/2021] [Accepted: 10/26/2021] [Indexed: 06/13/2023]
Abstract
The widespread distribution of organic and inorganic pollutants in water resources have increased due to rapid industrialization. Rhizospheric zone-associated bacteria along with endophytic bacteria show a significant role in remediation of various pollutants. Metaomics technologies are gaining an advantage over traditional methods because of their capability to obtain detailed information on exclusive microbial communities in rhizosphere of the plant including the unculturable microorganisms. Transcriptomics, proteomics, and metabolomics are functional methodologies that help to reveal the mechanisms of plant-microbe interactions and their synergistic roles in remediation of pollutants. Intensive analysis of metaomics data can be useful to understand the interrelationships of various metabolic activities between plants and microbes. This review comprehensively discusses recent advances in omics applications made hitherto to understand the mechanisms of plant-microbe interactions during phytoremediation. It extends the delivery of the insightful information on plant-microbiomes communications with an emphasis on their genetic, biochemical, physical, metabolic, and environmental interactions.
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Affiliation(s)
- Niraj R Rane
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul 04763, South Korea
| | - Savita Tapase
- Department of Biotechnology, Shivaji University, Kolhapur 416004, India
| | - Aakansha Kanojia
- Center of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria
| | - Anuprita Watharkar
- Amity Institute of Biotechnology, Amity University, Bhatan, Panvel, Mumbai, India
| | - El-Sayed Salama
- Occupational and Environmental Health Department, School of Public Health, Lanzhou University, Lanzhou 730000, Gansu Province, People's Republic of China
| | - Min Jang
- Department of Environmental Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Krishna Kumar Yadav
- Faculty of Science and Technology, Madhyanchal Professional University, Ratibad, Bhopal, 462044, India
| | - Mohammed A Amin
- Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Marina M S Cabral-Pinto
- Geobiotec Research Centre, Department of Geoscience, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Jyoti P Jadhav
- Department of Biochemistry, Shivaji University, Kolhapur 416004, India
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul 04763, South Korea.
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Negi A, George Kokkat J, Jasrotia RS, Madhavan S, Jaiswal S, Angadi UB, Iquebal MA, Kalathil Palliyarakkal M, Palaniyandi U, Rai A, Kumar D. Drought responsiveness in black pepper (Piper nigrum L.): Genes associated and development of a web-genomic resource. PHYSIOLOGIA PLANTARUM 2021; 172:669-683. [PMID: 33305409 DOI: 10.1111/ppl.13308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/03/2020] [Accepted: 12/07/2020] [Indexed: 06/12/2023]
Abstract
Black pepper (Piper nigrum L.; 2n = 52; Piperaceae), the king of spices, is a perennial, trailing woody flowering vine and has global importance with widespread dietary, medicinal, and preservative uses. It is an economically important germplasm cultivated for its fruit and the major cash crop in >30 tropical countries. Crop production is mainly affected by drought stress. The present study deals with the candidate gene identification from drought-affected black pepper leaf transcriptome generated by Illumina Hiseq2000. It also aims to mine putative molecular markers (namely SSRs, SNPs, and InDels) and generate primers for them. The identification of transcription factors and pathways involved in drought tolerance is also reported here. De novo transcriptome assembly was performed with trinity assembler. In total, 4914 differential expressed genes, 2110 transcriptional factors, 786 domains and 1137 families, 20,124 putative SSR markers, and 259,236 variants were identified. At2g30105 (unidentified gene containing leucine-rich repeats and ubiquitin-like domain), serine threonine protein kinase, Mitogen-activated protein kinase, Nucleotide Binding Site-Leucine Rich Repeat, Myeloblastosis-related proteins, basic helix-loop-helix are all found upregulated and are reported to be associated with plant tolerance against drought condition. All these information are catalogued in the Black Pepper Drought Transcriptome Database (BPDRTDb), freely accessible for academic use at http://webtom.cabgrid.res.in/bpdrtdb/. This database is a good foundation for the genetic improvement of pepper plants, breeding programmes, and mapping population of this crop. Putative markers can also be a reliable genomic resource to develop drought-tolerant variety for better black pepper productivity.
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Affiliation(s)
- Ankita Negi
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Johnson George Kokkat
- Division of Crop Improvement & Biotechnology, ICAR-Indian Institute of Spices Research, Kozhikode, India
| | - Rahul S Jasrotia
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Soumya Madhavan
- Division of Crop Improvement & Biotechnology, ICAR-Indian Institute of Spices Research, Kozhikode, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ulavappa Basavanneppa Angadi
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | | | - Umadevi Palaniyandi
- Division of Crop Improvement & Biotechnology, ICAR-Indian Institute of Spices Research, Kozhikode, India
- RBGRC, ICAR-IARI Regional Centre, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
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Sharma M, Sudheer S, Usmani Z, Rani R, Gupta P. Deciphering the Omics of Plant-Microbe Interaction: Perspectives and New Insights. Curr Genomics 2020; 21:343-362. [PMID: 33093798 PMCID: PMC7536805 DOI: 10.2174/1389202921999200515140420] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 03/29/2020] [Accepted: 04/17/2020] [Indexed: 12/19/2022] Open
Abstract
Introduction Plants do not grow in isolation, rather they are hosts to a variety of microbes in their natural environments. While, few thrive in the plants for their own benefit, others may have a direct impact on plants in a symbiotic manner. Unraveling plant-microbe interactions is a critical component in recognizing the positive and negative impacts of microbes on plants. Also, by affecting the environment around plants, microbes may indirectly influence plants. The progress in sequencing technologies in the genomics era and several omics tools has accelerated in biological science. Studying the complex nature of plant-microbe interactions can offer several strategies to increase the productivity of plants in an environmentally friendly manner by providing better insights. This review brings forward the recent works performed in building omics strategies that decipher the interactions between plant-microbiome. At the same time, it further explores other associated mutually beneficial aspects of plant-microbe interactions such as plant growth promotion, nitrogen fixation, stress suppressions in crops and bioremediation; as well as provides better insights on metabolic interactions between microbes and plants through omics approaches. It also aims to explore advances in the study of Arabidopsis as an important avenue to serve as a baseline tool to create models that help in scrutinizing various factors that contribute to the elaborate relationship between plants and microbes. Causal relationships between plants and microbes can be established through systematic gnotobiotic experimental studies to test hypotheses on biologically derived interactions. Conclusion This review will cover recent advances in the study of plant-microbe interactions keeping in view the advantages of these interactions in improving nutrient uptake and plant health.
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Affiliation(s)
- Minaxi Sharma
- 1Department of Food Technology, ACA, Eternal University, Baru Sahib (173001), Himachal Pradesh, India; 2Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Lai 40, Tartu, Estonia; 3Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn12612, Estonia; 4Applied Microbiology Laboratory, Department of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India
| | - Surya Sudheer
- 1Department of Food Technology, ACA, Eternal University, Baru Sahib (173001), Himachal Pradesh, India; 2Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Lai 40, Tartu, Estonia; 3Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn12612, Estonia; 4Applied Microbiology Laboratory, Department of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India
| | - Zeba Usmani
- 1Department of Food Technology, ACA, Eternal University, Baru Sahib (173001), Himachal Pradesh, India; 2Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Lai 40, Tartu, Estonia; 3Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn12612, Estonia; 4Applied Microbiology Laboratory, Department of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India
| | - Rupa Rani
- 1Department of Food Technology, ACA, Eternal University, Baru Sahib (173001), Himachal Pradesh, India; 2Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Lai 40, Tartu, Estonia; 3Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn12612, Estonia; 4Applied Microbiology Laboratory, Department of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India
| | - Pratishtha Gupta
- 1Department of Food Technology, ACA, Eternal University, Baru Sahib (173001), Himachal Pradesh, India; 2Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Lai 40, Tartu, Estonia; 3Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn12612, Estonia; 4Applied Microbiology Laboratory, Department of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India
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Jasrotia RS, Jaiswal S, Yadav PK, Raza M, Iquebal MA, Rai A, Kumar D. Genome-Wide Analysis of HSP70 Family Protein in Vigna radiata and Coexpression Analysis Under Abiotic and Biotic Stress. J Comput Biol 2019; 27:738-754. [PMID: 31464514 DOI: 10.1089/cmb.2019.0166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Heat shock protein 70 (Hsp70), a 70-kDa protein, also known as a molecular chaperone, is highly conserved. It plays a major role in cellular functions such as protein folding, regulation of protein degradation, translocation of proteins across membranes, receptor signaling, and protein assembly or disassembly. Vigna radiata is an important legume crop with available whole-genome sequence, but no such study on the HSP70 family is reported. A total of 32 V. radiate HSP70s (Vr-HSP70s) were identified and described. They are phylogenetically clustered into four subgroups. Vr-HSP70s show variations in intron/exon organization. This indicates that introns may play an essential role in gene regulating. The coexpression analysis of Vr-HSP70s revealed that these genes were involved in both abiotic and biotic stresses. Three cytoplasmic hub genes namely Vr-HSP70-C-14, Vr-HSP70-C-29, and Vr-HSP70-C-30 were found common in both stresses. Our findings provide directions for future studies to dissect functional analysis of Vr-HSP70s in response to abiotic and biotic stresses.
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Affiliation(s)
- Rahul Singh Jasrotia
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.,Department of Computational Biology & Bioinformatics, Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), Allahabad, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Pramod Kumar Yadav
- Department of Computational Biology & Bioinformatics, Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), Allahabad, India
| | - Mustafa Raza
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
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