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Singh A, Mahato AK, Maurya A, Rajkumar S, Singh AK, Bhardwaj R, Kaushik SK, Kumar S, Gupta V, Singh K, Singh R. Amaranth Genomic Resource Database: an integrated database resource of Amaranth genes and genomics. Front Plant Sci 2023; 14:1203855. [PMID: 37448872 PMCID: PMC10337998 DOI: 10.3389/fpls.2023.1203855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 06/05/2023] [Indexed: 07/15/2023]
Abstract
Amaranth (Amaranthus L.) is native to Mexico and North America, where it was cultivated thousands of years ago, but now amaranth is grown worldwide. Amaranth is one of the most promising food crops with high nutritional value and belongs to the family Amaranthaceae. The high-quality genome assembly of cultivated amaranth species (A. hypochondriacus, A. cruentus) and wild/weedy species (A. tuberculatus, A. hybridus, and A. palmeri) has already been reported; therefore, we developed an Amaranth Genomic Resource Database (AGRDB) to provide access to all the genomic information such as genes, SSRs, SNPs, TFs, miRNAs, and transporters in one place. The AGRDB database contains functionally annotated gene information with their sequence details, genic as well as genomic SSRs with their three sets of primers, transcription factors classified into different families with their sequence information and annotation details, putative miRNAs with their family, sequences, and targeted gene details, transporter genes with their superfamily, trans-membrane domain details, and details of genic as well as nongenic SNPs with 3' and 5' flanking sequence information of five amaranth species. A database search can be performed using the gene ID, sequence ID, sequence motif, motif repeat, family name, annotation keyword, scaffold or chromosome numbers, etc. This resource also includes some useful tools, including JBrowse for the visualization of genes, SSRs, SNPs, and TFs on the respective amaranth genomes and BLAST search to perform a BLAST search of the user's query sequence against the amaranth genome as well as protein sequences. The AGRDB database will serve as a potential platform for genetic improvement and characterization of this futuristic crop. The AGRDB database will be accessible via the link: http://www.nbpgr.ernet.in:8080/AmaranthGRD/.
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Affiliation(s)
- Akshay Singh
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | | | - Avantika Maurya
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - S. Rajkumar
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - A. K. Singh
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Rakesh Bhardwaj
- Division of Germplasm Evaluation, ICAR- National Bureau of Plant Genetic Resources, New Delhi, India
| | - S. K. Kaushik
- Division of Germplasm Evaluation, ICAR- National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sandeep Kumar
- Division of Germplasm Evaluation, ICAR- National Bureau of Plant Genetic Resources, New Delhi, India
| | - Veena Gupta
- Division of Germplasm Conservation, ICAR- National Bureau of Plant Genetic Resources, New Delhi, India
| | - Kuldeep Singh
- International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
| | - Rakesh Singh
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
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Shelake RM, Kadam US, Kumar R, Pramanik D, Singh AK, Kim JY. Engineering drought and salinity tolerance traits in crops through CRISPR-mediated genome editing: Targets, tools, challenges, and perspectives. Plant Commun 2022; 3:100417. [PMID: 35927945 PMCID: PMC9700172 DOI: 10.1016/j.xplc.2022.100417] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 07/07/2022] [Accepted: 07/27/2022] [Indexed: 05/10/2023]
Abstract
Prolonged periods of drought triggered by climate change hamper plant growth and cause substantial agricultural yield losses every year. In addition to drought, salinity is one of the major abiotic stresses that severely affect crop health and agricultural production. Plant responses to drought and salinity involve multiple processes that operate in a spatiotemporal manner, such as stress sensing, perception, epigenetic modifications, transcription, post-transcriptional processing, translation, and post-translational changes. Consequently, drought and salinity stress tolerance are polygenic traits influenced by genome-environment interactions. One of the ideal solutions to these challenges is the development of high-yielding crop varieties with enhanced stress tolerance, together with improved agricultural practices. Recently, genome-editing technologies, especially clustered regularly interspaced short palindromic repeats (CRISPR) tools, have been effectively applied to elucidate how plants deal with drought and saline environments. In this work, we aim to portray that the combined use of CRISPR-based genome engineering tools and modern genomic-assisted breeding approaches are gaining momentum in identifying genetic determinants of complex traits for crop improvement. This review provides a synopsis of plant responses to drought and salinity stresses at the morphological, physiological, and molecular levels. We also highlight recent advances in CRISPR-based tools and their use in understanding the multi-level nature of plant adaptations to drought and salinity stress. Integrating CRISPR tools with modern breeding approaches is ideal for identifying genetic factors that regulate plant stress-response pathways and for the introgression of beneficial traits to develop stress-resilient crops.
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Affiliation(s)
- Rahul Mahadev Shelake
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea.
| | - Ulhas Sopanrao Kadam
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
| | - Ritesh Kumar
- Department of Agronomy & Plant Genetics, University of Minnesota, Saint Paul, MN 55108, USA
| | - Dibyajyoti Pramanik
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
| | - Anil Kumar Singh
- ICAR-National Institute for Plant Biotechnology, LBS Centre, Pusa Campus, New Delhi 110012, India
| | - Jae-Yean Kim
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea; Division of Life Science, Gyeongsang National University, 501 Jinju-daero, Jinju 52828, Korea.
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Petereit J, Marsh JI, Bayer PE, Danilevicz MF, Thomas WJW, Batley J, Edwards D. Genetic and Genomic Resources for Soybean Breeding Research. Plants 2022; 11:1181. [PMID: 35567182 PMCID: PMC9101001 DOI: 10.3390/plants11091181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 11/17/2022]
Abstract
Soybean (Glycine max) is a legume species of significant economic and nutritional value. The yield of soybean continues to increase with the breeding of improved varieties, and this is likely to continue with the application of advanced genetic and genomic approaches for breeding. Genome technologies continue to advance rapidly, with an increasing number of high-quality genome assemblies becoming available. With accumulating data from marker arrays and whole-genome resequencing, studying variations between individuals and populations is becoming increasingly accessible. Furthermore, the recent development of soybean pangenomes has highlighted the significant structural variation between individuals, together with knowledge of what has been selected for or lost during domestication and breeding, information that can be applied for the breeding of improved cultivars. Because of this, resources such as genome assemblies, SNP datasets, pangenomes and associated databases are becoming increasingly important for research underlying soybean crop improvement.
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Abstract
Protoplast is a versatile system for conducting cell-based assays, analyzing diverse signaling pathways, studying functions of cellular machineries, and functional genomics screening. Protoplast engineering has become an important tool for basic plant molecular biology research and developing genome-edited crops. This system allows the direct delivery of DNA, RNA, or proteins into plant cells and provides a high-throughput system to validate gene-editing reagents. It also facilitates the delivery of homology-directed repair templates (donor molecules) into plant cells, enabling precise DNA edits in the genome. There is a great deal of interest in the plant community to develop these precise edits, as they may expand the potential for developing value-added traits which may be difficult to achieve by other gene-editing applications and/or traditional breeding alone. This chapter provides improved working protocols for isolating and transforming protoplast from immature soybean seeds with 44% of transfection efficiency validated by the green fluorescent protein reporter. We also describe a method for gene editing in soybean protoplasts using single guide RNA molecules.
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Affiliation(s)
- Gunvant B Patil
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, USA.
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA
| | - Feng Zhang
- Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, MN, USA
- Center for Precision Plant Genomics, University of Minnesota, Saint Paul, MN, USA
- Center for Genome Engineering, University of Minnesota, Saint Paul, MN, USA
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Pinto RT, Cardoso TB, Paiva LV, Benedito VA. Genomic and transcriptomic inventory of membrane transporters in coffee: Exploring molecular mechanisms of metabolite accumulation. Plant Sci 2021; 312:111018. [PMID: 34620453 DOI: 10.1016/j.plantsci.2021.111018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/07/2021] [Accepted: 08/07/2021] [Indexed: 06/13/2023]
Abstract
The genus Coffea (Rubiaceae) encompasses a group of perennial plant species, including a commodity crop from which seeds are roasted, ground, and infused to make one of the most appreciated beverages in the world. As an important tropical crop restricted to specific regions of the world, coffee production is highly susceptible to the effects of environmental instabilities (i.e., local year-to-year weather fluctuations and global climate change) and threatening pest pressures, not to mention an increasing quality rigor by consumers in industrialized countries. Specialized metabolites are substances that largely affect plant-environment interactions as well as how consumers experience agricultural products. Membrane transporters are key targets, albeit understudied, for understanding and tailoring the spatiotemporal distribution of specialized metabolites as they mediate and control molecular trafficking and substance accumulation. Therefore, we analyzed the transportome of C. canephora encoded within the 25,574 protein-coding genes annotated in the genome of this species and identified 1847 putative membrane transporters. Following, we mined 152 transcriptional profiles of C. canephora and C. arabica and performed a comprehensive co-expression analysis to identify transporters potentially involved in the accumulation of specialized metabolites associated with beverage quality and bioactivity attributes. In toto, this report points to an avenue of possibilities on Coffea genomic and transcriptomic data mining for genetic breeding strategies, which can lead to the development of new, resilient varieties for more sustainable coffee production systems.
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Affiliation(s)
- Renan T Pinto
- Division of Plant and Soil Sciences, West Virginia University, 3425 Agricultural Sciences Building, Morgantown, WV 26506-6108, USA; Molecular Biology Laboratory, Federal University of Lavras, Lavras, MG 37200-000, Brazil
| | - Thiago B Cardoso
- Molecular Biology Laboratory, Federal University of Lavras, Lavras, MG 37200-000, Brazil
| | - Luciano V Paiva
- Molecular Biology Laboratory, Federal University of Lavras, Lavras, MG 37200-000, Brazil
| | - Vagner A Benedito
- Division of Plant and Soil Sciences, West Virginia University, 3425 Agricultural Sciences Building, Morgantown, WV 26506-6108, USA.
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Nitnaware KM, Raskar KB, Agarwal G, Chávez Montes RA, Chopra R, López-Arredondo DL, Nikam TD, Patil GB. Whole-genome characterization and comparative genomics of a novel freshwater cyanobacteria species: Pseudanabaena punensis. Mol Phylogenet Evol 2021; 164:107272. [PMID: 34332035 DOI: 10.1016/j.ympev.2021.107272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 07/21/2021] [Accepted: 07/26/2021] [Indexed: 11/23/2022]
Abstract
Cyanobacteria are emerging as a potential source of novel, beneficial bioactive compounds. However, some cyanobacteria species can harm water quality and public health through the production of toxins. Therefore, surveying the occurrence and generating genomic resources of cyanobacteria producing harmful compounds could help develop the control methods necessary to manage their growth and limit the release contaminants into the water bodies. Here, we describe a novel strain, Pseudanabaena punensis isolated from the open ends of pipelines supplying freshwater. This isolate was characterized morphologically, biochemically and by whole-genome sequence analysis. We also provide genomic information for P. punensis to help understand and highlight the features unique to this isolate. Morphological and genetic (analysis using 16S rRNA and rbcL genes) data were used to assign this novel strain to phylogenetic and taxonomic groups. The isolate was identified as a filamentous and non-heterocystous cyanobacteria. Based on morphological and 16S rRNA phylogeny, this isolate shares characteristics with the Pseudanabaenaceae family, but remains distinct from well-characterized species suggesting its polyphyletic assemblage. The whole-genome sequence analysis suggests greater genomic and phenotypic plasticity. Genome-wide sequence and comparative genomic analyses, comparing against several closely related species, revealed diverse and important genes associated with synthesizing bioactive compounds, multi-drug resistance pathway, heavy metal resistance, and virulence factors. This isolate also produces several important fatty acids with potential industrial applications. The observations described in this study emphasize both industrial applications and risks associated with the freshwater contamination, and therefore genomic resources provided in this study offer an opportunity for further investigations.
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