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Dhokane D, Kancharla N, Savarimuthu A, Bhadra B, Bandyopadhyay A, Dasgupta S. Genome Editing in Chlamydomonas reinhardtii Using Cas9-gRNA Ribonucleoprotein Complex: A Step-by-Step Guide. Methods Mol Biol 2023; 2653:207-217. [PMID: 36995629 DOI: 10.1007/978-1-0716-3131-7_14] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Genome editing technologies have provided opportunities to manipulate literally any genomic location, opening new avenues for reverse genetics-based improvements. Among them, CRISPR/Cas9 is the most versatile tool for genome editing applications in prokaryotes and eukaryotes. Here, we provide a guide to successfully carry out high-efficiency genome editing in Chlamydomonas reinhardtii using preassembled CRISPR/Cas9-gRNA ribonucleoprotein (RNP) complexes.
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Affiliation(s)
- Dhananjay Dhokane
- Synthetic Biology Group, Reliance Corporate Park, Reliance Industries Ltd, Ghansoli, Navi Mumbai, India
| | - Nagesh Kancharla
- Synthetic Biology Group, Reliance Corporate Park, Reliance Industries Ltd, Ghansoli, Navi Mumbai, India
| | - Arockiasamy Savarimuthu
- Synthetic Biology Group, Reliance Corporate Park, Reliance Industries Ltd, Ghansoli, Navi Mumbai, India
| | - Bhaskar Bhadra
- Synthetic Biology Group, Reliance Corporate Park, Reliance Industries Ltd, Ghansoli, Navi Mumbai, India.
| | - Anindya Bandyopadhyay
- Synthetic Biology Group, Reliance Corporate Park, Reliance Industries Ltd, Ghansoli, Navi Mumbai, India.
| | - Santanu Dasgupta
- Synthetic Biology Group, Reliance Corporate Park, Reliance Industries Ltd, Ghansoli, Navi Mumbai, India
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Yepuri V, Jalali S, Mudunuri V, Pothakani S, Kancharla N, Arockiasamy S. Genotyping by sequencing-based linkage map construction and identification of quantitative trait loci for yield-related traits and oil content in Jatropha (Jatropha curcas L.). Mol Biol Rep 2022; 49:4293-4306. [PMID: 35239140 DOI: 10.1007/s11033-022-07264-w] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/14/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Jatropha (Jatropha curcas L.) has been considered as a potential bioenergy crop and its genetic improvement is essential for higher seed yield and oil content which has been hampered due to lack of desirable molecular markers. METHODS AND RESULTS An F2 population was created using an intraspecific cross involving a Central American line RJCA9 and an Asiatic species RJCS-9 to develop a dense genetic map and for Quantitative trait loci (QTL) identification. The genotyping-by-sequencing (GBS) approach was used to genotype the mapping population of 136 F2 individuals along with the two parental lines for classification of the genotypes based on single nucleotide polymorphism (SNPs). NextSeq 2500 sequencing technology provided a total of 517.23 million clean reads, with an average of ~ 3.8 million reads per sample. We analysed 411 SNP markers and developed 11 linkage groups. The total length of the genetic map was 4092.3 cM with an average marker interval of 10.04 cM. We have identified a total of 83 QTLs for various yield and oil content governing traits. The percentage of phenotypic variation (PV) was found to be in the range of 8.81 to 65.31%, and a QTL showed the maximum PV of 65.3% for a total seed number on the 6th linkage group (LG). CONCLUSIONS The QTLs detected in this study for various phenotypic traits will lay down the path for marker-assisted breeding in the future and cloning of genes that are responsible for phenotypic variation.
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Affiliation(s)
- Vijay Yepuri
- Agronomy Division, Reliance Technology Group, Reliance Industries Ltd, Ghansoli, Navi Mumbai, 400701, India
| | - Saakshi Jalali
- Agronomy Division, Reliance Technology Group, Reliance Industries Ltd, Ghansoli, Navi Mumbai, 400701, India
| | - Vishwnadharaju Mudunuri
- Jatropha Breeding station, Reliance Industries Ltd, IDA-Peddapuram, ADB Road, Samalkota, Andhra Pradesh, 533440, India
| | - Sai Pothakani
- Jatropha Breeding station, Reliance Industries Ltd, IDA-Peddapuram, ADB Road, Samalkota, Andhra Pradesh, 533440, India
| | - Nagesh Kancharla
- Agronomy Division, Reliance Technology Group, Reliance Industries Ltd, Ghansoli, Navi Mumbai, 400701, India
| | - S Arockiasamy
- Agronomy Division, Reliance Technology Group, Reliance Industries Ltd, Ghansoli, Navi Mumbai, 400701, India.
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Bandyopadhyay A, Kancharla N, Javalkote VS, Dasgupta S, Brutnell TP. CRISPR-Cas12a (Cpf1): A Versatile Tool in the Plant Genome Editing Tool Box for Agricultural Advancement. Front Plant Sci 2020; 11:584151. [PMID: 33214794 PMCID: PMC7668199 DOI: 10.3389/fpls.2020.584151] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 09/28/2020] [Indexed: 05/08/2023]
Abstract
Global population is predicted to approach 10 billion by 2050, an increase of over 2 billion from today. To meet the demands of growing, geographically and socio-economically diversified nations, we need to diversity and expand agricultural production. This expansion of agricultural productivity will need to occur under increasing biotic, and environmental constraints driven by climate change. Clustered regularly interspaced short palindromic repeats-site directed nucleases (CRISPR-SDN) and similar genome editing technologies will likely be key enablers to meet future agricultural needs. While the application of CRISPR-Cas9 mediated genome editing has led the way, the use of CRISPR-Cas12a is also increasing significantly for genome engineering of plants. The popularity of the CRISPR-Cas12a, the type V (class-II) system, is gaining momentum because of its versatility and simplified features. These include the use of a small guide RNA devoid of trans-activating crispr RNA, targeting of T-rich regions of the genome where Cas9 is not suitable for use, RNA processing capability facilitating simpler multiplexing, and its ability to generate double strand breaks (DSB) with staggered ends. Many monocot and dicot species have been successfully edited using this Cas12a system and further research is ongoing to improve its efficiency in plants, including improving the temperature stability of the Cas12a enzyme, identifying new variants of Cas12a or synthetically producing Cas12a with flexible PAM sequences. In this review we provide a comparative survey of CRISPR-Cas12a and Cas9, and provide a perspective on applications of CRISPR-Cas12 in agriculture.
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Affiliation(s)
| | - Nagesh Kancharla
- Reliance Industries Ltd., R&D-Synthetic Biology, Navi Mumbai, India
| | | | - Santanu Dasgupta
- Reliance Industries Ltd., R&D-Synthetic Biology, Navi Mumbai, India
| | - Thomas P. Brutnell
- Chinese Academy of Agricultural Sciences, Biotechnology Research Institute, Beijing China
- Gateway Biotechnology, Inc., St. Louis, MO, United States
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Javalkote VS, Kancharla N, Bhadra B, Shukla M, Soni B, Goodin M, Bandyopadhyay A, Dasgupta S. CRISPR-based assays for rapid detection of SARS-CoV-2. Methods 2020; 203:594-603. [PMID: 33045362 PMCID: PMC7546951 DOI: 10.1016/j.ymeth.2020.10.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/16/2020] [Accepted: 10/06/2020] [Indexed: 12/18/2022] Open
Abstract
COVID-19 pandemic posed an unprecedented threat to global public health and economies. There is no effective treatment of the disease, hence, scaling up testing for rapid diagnosis of SARS-CoV-2 infected patients and quarantine them from healthy individuals is one the best strategies to curb the pandemic. Establishing globally accepted easy-to-access diagnostic tests is extremely important to understanding the epidemiology of the present pandemic. While nucleic acid based tests are considered to be more sensitive with respect to serological tests but present gold standard qRT-PCR-based assays possess limitations such as low sample throughput, requirement for sophisticated reagents and instrumentation. To overcome these shortcomings, recent efforts of incorporating LAMP-based isothermal detection, and minimizing the number of reagents required are on rise. CRISPR based novel techniques, when merge with isothermal and allied technologies, promises to provide sensitive and rapid detection of SARS-CoV-2 nucleic acids. Here, we discuss and present compilation of state-of-the-art detection techniques for COVID-19 using CRISPR technology which has tremendous potential to transform diagnostics and epidemiology.
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Affiliation(s)
- Vivek S Javalkote
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India
| | - Nagesh Kancharla
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India
| | - Bhaskar Bhadra
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India
| | - Manish Shukla
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India
| | - Badrish Soni
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India
| | - Michael Goodin
- Department of Plant Pathology, University of Kentucky, Lexington, KY, 40546, USA
| | - Anindya Bandyopadhyay
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India.
| | - Santanu Dasgupta
- Reliance Industries Ltd, R&D-Synthetic Biology group, Reliance Corporate park, Navi Mumbai, India.
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Yepuri V, Jalali S, Kancharla N, Reddy VB, Arockiasamy S. Development of genome wide transposable elements based repeat junction markers in Jatropha (Jatropha curcas L.). Mol Biol Rep 2020; 47:5091-5099. [PMID: 32562173 DOI: 10.1007/s11033-020-05579-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 06/10/2020] [Indexed: 11/29/2022]
Abstract
Jatropha curcas is a potential biodiesel crop and a highly adaptable species to various agro-climatic conditions. In this study, we have utilized transposable elements' (TE) repeat junctions (RJs) which are an important constituent of the genome, used to form a genome-wide molecular marker platform owing to its use in genomic studies of plants. We screened our previously generated Jatropha hybrid genome assembly of size 265 Mbp using RJPrimers pipeline software and identified a total of 1274 TE junctions. For the predicted RJs, we designed 2868 polymerase chain reaction (PCR) based RJ markers (RJMs) flanking the junction regions. In addition to marker design, the identified RJs were utilized to detect 225,517 TEs across the genome. The different types of transposable repeat elements mainly were scattered into Retro, LTR, Copia and Gypsy categories. The efficacy of the designed markers was tested by utilizing a subset of RJMs selected randomly. We have validated 96 randomly selected RJ primers in a group of 32 J. curcas genotypes and more than 90% of the markers effectively intensified as amplicons. Of these, 10 primers were shown to be polymorphic in estimating genetic diversity among the 32 Jatropha lines. UPGMA cluster analysis revealed the formation of two clusters such as A and B exhibiting 85.5% and 87% similarity coefficient respectively. The various RJMs identified in this study could be utilized as a significant asset in Jatropha functional genomics including genome determination, mapping and marker-assisted selection.
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Affiliation(s)
- Vijay Yepuri
- Agronomy Division, Reliance Technology Group, Reliance Industries Limited, Navi Mumbai, Maharashtra, 400701, India
| | - Saakshi Jalali
- Agronomy Division, Reliance Technology Group, Reliance Industries Limited, Navi Mumbai, Maharashtra, 400701, India
| | - Nagesh Kancharla
- Agronomy Division, Reliance Technology Group, Reliance Industries Limited, Navi Mumbai, Maharashtra, 400701, India
| | - V B Reddy
- AgriGenome Labs Private Limited, Hyderabad, 500078, India
| | - S Arockiasamy
- Agronomy Division, Reliance Technology Group, Reliance Industries Limited, Navi Mumbai, Maharashtra, 400701, India.
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