1
|
Li T, Cai S, Cai Z, Fu Y, Liu W, Zhu X, Lai C, Cui L, Pan W, Li Y. TriticeaeSSRdb: a comprehensive database of simple sequence repeats in Triticeae. FRONTIERS IN PLANT SCIENCE 2024; 15:1412953. [PMID: 38841284 PMCID: PMC11150838 DOI: 10.3389/fpls.2024.1412953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Accepted: 05/08/2024] [Indexed: 06/07/2024]
Abstract
Microsatellites, known as simple sequence repeats (SSRs), are short tandem repeats of 1 to 6 nucleotide motifs found in all genomes, particularly eukaryotes. They are widely used as co-dominant markers in genetic analyses and molecular breeding. Triticeae, a tribe of grasses, includes major cereal crops such as bread wheat, barley, and rye, as well as abundant forage and lawn grasses, playing a crucial role in global food production and agriculture. To enhance genetic work and expedite the improvement of Triticeae crops, we have developed TriticeaeSSRdb, an integrated and user-friendly database. It contains 3,891,705 SSRs from 21 species and offers browsing options based on genomic regions, chromosomes, motif types, and repeat motif sequences. Advanced search functions allow personalized searches based on chromosome location and length of SSR. Users can also explore the genes associated with SSRs, design customized primer pairs for PCR validation, and utilize practical tools for whole-genome browsing, sequence alignment, and in silico SSR prediction from local sequences. We continually update TriticeaeSSRdb with additional species and practical utilities. We anticipate that this database will greatly facilitate trait genetic analyses and enhance molecular breeding strategies for Triticeae crops. Researchers can freely access the database at http://triticeaessrdb.com/.
Collapse
Affiliation(s)
- Tingting Li
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling, Shaanxi, China
| | - Shaoshuai Cai
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Zhibo Cai
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling, Shaanxi, China
| | - Yi Fu
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Wenqiang Liu
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Xiangdong Zhu
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Chongde Lai
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
- The Public Instrument Platform of Jiangxi Agricultural University, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Licao Cui
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Wenqiu Pan
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling, Shaanxi, China
| | - Yihan Li
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| |
Collapse
|
2
|
Raza A, Chen H, Zhang C, Zhuang Y, Sharif Y, Cai T, Yang Q, Soni P, Pandey MK, Varshney RK, Zhuang W. Designing future peanut: the power of genomics-assisted breeding. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:66. [PMID: 38438591 DOI: 10.1007/s00122-024-04575-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 02/03/2024] [Indexed: 03/06/2024]
Abstract
KEY MESSAGE Integrating GAB methods with high-throughput phenotyping, genome editing, and speed breeding hold great potential in designing future smart peanut cultivars to meet market and food supply demands. Cultivated peanut (Arachis hypogaea L.), a legume crop greatly valued for its nourishing food, cooking oil, and fodder, is extensively grown worldwide. Despite decades of classical breeding efforts, the actual on-farm yield of peanut remains below its potential productivity due to the complicated interplay of genotype, environment, and management factors, as well as their intricate interactions. Integrating modern genomics tools into crop breeding is necessary to fast-track breeding efficiency and rapid progress. When combined with speed breeding methods, this integration can substantially accelerate the breeding process, leading to faster access of improved varieties to farmers. Availability of high-quality reference genomes for wild diploid progenitors and cultivated peanuts has accelerated the process of gene/quantitative locus discovery, developing markers and genotyping assays as well as a few molecular breeding products with improved resistance and oil quality. The use of new breeding tools, e.g., genomic selection, haplotype-based breeding, speed breeding, high-throughput phenotyping, and genome editing, is probable to boost genetic gains in peanut. Moreover, renewed attention to efficient selection and exploitation of targeted genetic resources is also needed to design high-quality and high-yielding peanut cultivars with main adaptation attributes. In this context, the combination of genomics-assisted breeding (GAB), genome editing, and speed breeding hold great potential in designing future improved peanut cultivars to meet market and food supply demands.
Collapse
Affiliation(s)
- Ali Raza
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Hua Chen
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Chong Zhang
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Yuhui Zhuang
- College of Life Science, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Yasir Sharif
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Tiecheng Cai
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Qiang Yang
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China
| | - Pooja Soni
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, India
| | - Manish K Pandey
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, India
| | - Rajeev K Varshney
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
| | - Weijian Zhuang
- Key Laboratory of Ministry of Education for Genetics, Center of Legume Crop Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou, 350002, China.
| |
Collapse
|
3
|
Vinay ND, Singh K, Ellur RK, Chinnusamy V, Jaiswal S, Iquebal MA, Munshi AD, Matsumura H, Boopalakrishnan G, Jat GS, Kole C, Gaikwad AB, Kumar D, Dey SS, Behera TK. High-quality Momordica balsamina genome elucidates its potential use in improving stress resilience and therapeutic properties of bitter gourd. FRONTIERS IN PLANT SCIENCE 2024; 14:1258042. [PMID: 38333042 PMCID: PMC10851156 DOI: 10.3389/fpls.2023.1258042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/29/2023] [Indexed: 02/10/2024]
Abstract
Introduction Momordica balsamina is the closest wild species that can be crossed with an important fruit vegetable crop, Momordica charantia, has immense medicinal value, and placed under II subclass of primary gene pool of bitter gourd. M. balsamina is tolerant to major biotic and abiotic stresses. Genome characterization of Momordica balsamina as a wild relative of bitter gourd will contribute to the knowledge of the gene pool available for improvement in bitter gourd. There is potential to transfer gene/s related to biotic resistance and medicinal importance from M. balsamina to M. charantia to produce high-quality, better yielding and stress tolerant bitter gourd genotypes. Methods The present study provides the first and high-quality chromosome-level genome assembly of M. balsamina with size 384.90 Mb and N50 30.96 Mb using sequence data from 10x Genomics, Nanopore, and Hi-C platforms. Results A total of 6,32,098 transposons elements; 2,15,379 simple sequence repeats; 5,67,483 transcription factor binding sites; 3,376 noncoding RNA genes; and 41,652 protein-coding genes were identified, and 4,347 disease resistance, 67 heat stress-related, 05 carotenoid-related, 15 salt stress-related, 229 cucurbitacin-related, 19 terpenes-related, 37 antioxidant activity, and 06 sex determination-related genes were characterized. Conclusion Genome sequencing of M. balsamina will facilitate interspecific introgression of desirable traits. This information is cataloged in the form of webgenomic resource available at http://webtom.cabgrid.res.in/mbger/. Our finding of comparative genome analysis will be useful to get insights into the patterns and processes associated with genome evolution and to uncover functional regions of cucurbit genomes.
Collapse
Affiliation(s)
- N. D. Vinay
- Division of Vegetable Science, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Kalpana Singh
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ranjith Kumar Ellur
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Viswanathan Chinnusamy
- Division of Plant Physiology, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anilabha Das Munshi
- Division of Vegetable Science, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | | | - G. Boopalakrishnan
- Division of Vegetable Science, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Gograj Singh Jat
- Division of Vegetable Science, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | | | - Ambika Baladev Gaikwad
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Dinesh Kumar
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Shyam Sundar Dey
- Division of Vegetable Science, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Tusar Kanti Behera
- Division of Vegetable Science, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
- Indian Council of Agricultural Research (ICAR)-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, India
| |
Collapse
|
4
|
Erdoğan İ, Cevher-Keskin B, Bilir Ö, Hong Y, Tör M. Recent Developments in CRISPR/Cas9 Genome-Editing Technology Related to Plant Disease Resistance and Abiotic Stress Tolerance. BIOLOGY 2023; 12:1037. [PMID: 37508466 PMCID: PMC10376527 DOI: 10.3390/biology12071037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023]
Abstract
The revolutionary CRISPR/Cas9 genome-editing technology has emerged as a powerful tool for plant improvement, offering unprecedented precision and efficiency in making targeted gene modifications. This powerful and practical approach to genome editing offers tremendous opportunities for crop improvement, surpassing the capabilities of conventional breeding techniques. This article provides an overview of recent advancements and challenges associated with the application of CRISPR/Cas9 in plant improvement. The potential of CRISPR/Cas9 in terms of developing crops with enhanced resistance to biotic and abiotic stresses is highlighted, with examples of genes edited to confer disease resistance, drought tolerance, salt tolerance, and cold tolerance. Here, we also discuss the importance of off-target effects and the efforts made to mitigate them, including the use of shorter single-guide RNAs and dual Cas9 nickases. Furthermore, alternative delivery methods, such as protein- and RNA-based approaches, are explored, and they could potentially avoid the integration of foreign DNA into the plant genome, thus alleviating concerns related to genetically modified organisms (GMOs). We emphasize the significance of CRISPR/Cas9 in accelerating crop breeding processes, reducing editing time and costs, and enabling the introduction of desired traits at the nucleotide level. As the field of genome editing continues to evolve, it is anticipated that CRISPR/Cas9 will remain a prominent tool for crop improvement, disease resistance, and adaptation to challenging environmental conditions.
Collapse
Affiliation(s)
- İbrahim Erdoğan
- Department of Agricultural Biotechnology, Faculty of Agriculture, Kirsehir Ahi Evran University, Kırşehir 40100, Türkiye
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
| | - Birsen Cevher-Keskin
- Genetic Engineering and Biotechnology Institute, TÜBİTAK Marmara Research Center, Kocaeli 41470, Türkiye
| | - Özlem Bilir
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
- Trakya Agricultural Research Institute, Atatürk Bulvarı 167/A, Edirne 22100, Türkiye
| | - Yiguo Hong
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
- Research Centre for Plant RNA Signaling, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Mahmut Tör
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
| |
Collapse
|
5
|
Singh J, Sharma A, Sharma V, Gaikwad PN, Sidhu GS, Kaur G, Kaur N, Jindal T, Chhuneja P, Rattanpal HS. Comprehensive genome-wide identification and transferability of chromosome-specific highly variable microsatellite markers from citrus species. Sci Rep 2023; 13:10919. [PMID: 37407627 DOI: 10.1038/s41598-023-37024-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 06/14/2023] [Indexed: 07/07/2023] Open
Abstract
Citrus species among the most important and widely consumed fruit in the world due to Vitamin C, essential oil glands, and flavonoids. Highly variable simple sequence repeats (SSR) markers are one of the most informative and versatile molecular markers used in perennial tree genetic research. SSR survey of Citrus sinensis and Citrus maxima were identified perfect SSRs spanning nine chromosomes. Furthermore, we categorized all SSR motifs into three major classes based on their tract lengths. We designed and validated a class I SSRs in the C. sinensis and C. maxima genome through electronic polymerase chain reaction (ePCR) and found 83.89% in C. sinensis and 78.52% in C. maxima SSRs producing a single amplicon. Then, we selected extremely variable SSRs (> 40 nt) from the ePCR-verified class I SSRs and in silico validated across seven draft genomes of citrus, which provided us a subset of 84.74% in C. sinensis and 77.53% in C. maxima highly polymorphic SSRs. Out of these, 129 primers were validated on 24 citrus genotypes through wet-lab experiment. We found 127 (98.45%) polymorphic HvSSRs on 24 genotypes. The utility of the developed HvSSRs was demonstrated by analysing genetic diversity of 181 citrus genotypes using 17 HvSSRs spanning nine citrus chromosomes and were divided into 11 main groups through 17 HvSSRs. These chromosome-specific SSRs will serve as a powerful genomic tool used for future QTL mapping, molecular breeding, investigation of population genetic diversity, comparative mapping, and evolutionary studies among citrus and other relative genera/species.
Collapse
Affiliation(s)
- Jagveer Singh
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India
- Department of Fruit Science, College of Horticulture & Forestry, Acharya Narendra Deva University of Agricultural & Technology, Kumarganj, 224229, India
| | - Ankush Sharma
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA, 30602, USA
| | - Vishal Sharma
- National Agri-Food Biotechnology Institute, Sector-81, SAS Nagar, Mohali, Punjab, 140308, India
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan, 173229, India
| | - Popat Nanaso Gaikwad
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India
| | - Gurupkar Singh Sidhu
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India.
| | - Gurwinder Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India
| | - Nimarpreet Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India
| | - Taveena Jindal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India
| | - Parveen Chhuneja
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004, India
| | - H S Rattanpal
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, 141004, India
| |
Collapse
|
6
|
Huang R, Li H, Gao C, Yu W, Zhang S. Advances in omics research on peanut response to biotic stresses. FRONTIERS IN PLANT SCIENCE 2023; 14:1101994. [PMID: 37284721 PMCID: PMC10239885 DOI: 10.3389/fpls.2023.1101994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/18/2023] [Indexed: 06/08/2023]
Abstract
Peanut growth, development, and eventual production are constrained by biotic and abiotic stresses resulting in serious economic losses. To understand the response and tolerance mechanism of peanut to biotic and abiotic stresses, high-throughput Omics approaches have been applied in peanut research. Integrated Omics approaches are essential for elucidating the temporal and spatial changes that occur in peanut facing different stresses. The integration of functional genomics with other Omics highlights the relationships between peanut genomes and phenotypes under specific stress conditions. In this review, we focus on research on peanut biotic stresses. Here we review the primary types of biotic stresses that threaten sustainable peanut production, the multi-Omics technologies for peanut research and breeding, and the recent advances in various peanut Omics under biotic stresses, including genomics, transcriptomics, proteomics, metabolomics, miRNAomics, epigenomics and phenomics, for identification of biotic stress-related genes, proteins, metabolites and their networks as well as the development of potential traits. We also discuss the challenges, opportunities, and future directions for peanut Omics under biotic stresses, aiming sustainable food production. The Omics knowledge is instrumental for improving peanut tolerance to cope with various biotic stresses and for meeting the food demands of the exponentially growing global population.
Collapse
Affiliation(s)
- Ruihua Huang
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| | - Hongqing Li
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| | - Caiji Gao
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| | - Weichang Yu
- Guangdong Key Laboratory of Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
- Liaoning Peanut Research Institute, Liaoning Academy of Agricultural Sciences, Fuxing, China
- China Good Crop Company (Shenzhen) Limited, Shenzhen, China
| | - Shengchun Zhang
- Guangdong Key Laboratory of Biotechnology for Plant Development, College of Life Sciences, South China Normal University, Guangzhou, China
| |
Collapse
|
7
|
Pan J, Zhou X, Ahmad N, Zhang K, Tang R, Zhao H, Jiang J, Tian M, Li C, Li A, Zhang X, He L, Ma J, Li X, Tian R, Ma C, Pandey MK, Varshney RK, Wang X, Zhao C. BSA‑seq and genetic mapping identified candidate genes for branching habit in peanut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:4457-4468. [PMID: 36181525 DOI: 10.1007/s00122-022-04231-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
The candidate gene AhLBA1 controlling lateral branch angel of peanut was fine-mapped to a 136.65-kb physical region on chromosome 15 using the BSA-seq and QTL mapping. Lateral branch angel (LBA) is an important plant architecture trait of peanut, which plays key role in lodging, peg soil penetration and pod yield. However, there are few reports of fine mapping and quantitative trait loci (QTLs)/cloned genes for LBA in peanut. In this project, a mapping population was constructed using a spreading variety Tifrunner and the erect variety Fuhuasheng. Through bulked segregant analysis sequencing (BSA-seq), a major gene related to LBA, named as AhLBA1, was preliminarily mapped at the region of Chr.15: 150-160 Mb. Then, using traditional QTL approach, AhLBA1 was narrowed to a 1.12 cM region, corresponding to a 136.65-kb physical interval of the reference genome. Of the nine genes housed in this region, three of them were involved in hormone metabolism and regulation, including one "F-box protein" and two "2-oxoglutarate (2OG) and Fe(II)-dependent oxygenase (2OG oxygenase)" encoding genes. In addition, we found that the level of some classes of cytokinin (CK), auxin and ethylene showed significant differences between spreading and erect peanuts at the junction of main stem and lateral branch. These findings will aid further elucidation of the genetic mechanism of LBA in peanut and facilitating marker-assisted selection (MAS) in the future breeding program.
Collapse
Affiliation(s)
- Jiaowen Pan
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
| | - Ximeng Zhou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Naveed Ahmad
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
| | - Kun Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
- College of Agricultural Science and Technology, Shandong Agriculture and Engineering University, Jinan, 250100, People's Republic of China
| | - Ronghua Tang
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Huiling Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Jing Jiang
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Mengdi Tian
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, People's Republic of China
| | - Changsheng Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
| | - Aiqin Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
| | - Xianying Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
| | - Liangqiong He
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Jing Ma
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Xiaojie Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Ruizheng Tian
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Manish K Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rajeev K Varshney
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China.
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, People's Republic of China.
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China.
| |
Collapse
|
8
|
Patil PG, Jamma S, N M, Bohra A, Pokhare S, Dhinesh Babu K, Murkute AA, Marathe RA. Chromosome-specific potential intron polymorphism markers for large-scale genotyping applications in pomegranate. FRONTIERS IN PLANT SCIENCE 2022; 13:943959. [PMID: 36110362 PMCID: PMC9468638 DOI: 10.3389/fpls.2022.943959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
Despite the availability of whole genome assemblies, the identification and utilization of gene-based marker systems has been limited in pomegranate. In the present study, we performed a genome-wide survey of intron length (IL) markers in the 36,524 annotated genes of the Tunisia genome. We identified and designed a total of 8,812 potential intron polymorphism (PIP) markers specific to 3,445 (13.40%) gene models that span 8 Tunisia chromosomes. The ePCR validation of all these PIP markers on the Tunisia genome revealed single-locus amplification for 1,233 (14%) markers corresponding to 958 (27.80%) genes. The markers yielding single amplicons were then mapped onto Tunisia chromosomes to develop a saturated linkage map. The functional categorization of 958 genes revealed them to be a part of the nucleus and the cytoplasm having protein binding and catalytic activity, and these genes are mainly involved in the metabolic process, including photosynthesis. Further, through ePCR, 1,233 PIP markers were assayed on multiple genomes, which resulted in the identification of 886 polymorphic markers with an average PIC value of 0.62. In silico comparative mapping based on physically mapped PIP markers indicates a higher synteny of Tunisia with the Dabenzi and Taishanhong genomes (>98%) in comparison with the AG2017 genome (95%). We then performed experimental validation of a subset of 100 PIP primers on eight pomegranate genotypes and identified 76 polymorphic markers, with 15 having PIC values ≥0.50. We demonstrated the potential utility of the developed markers by analyzing the genetic diversity of 31 pomegranate genotypes using 24 PIP markers. This study reports for the first time large-scale development of gene-based and chromosome-specific PIP markers, which would serve as a rich marker resource for genetic variation studies, functional gene discovery, and genomics-assisted breeding of pomegranate.
Collapse
Affiliation(s)
| | - Shivani Jamma
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| | - Manjunatha N
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| | - Abhishek Bohra
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Somnath Pokhare
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| | | | | | - Rajiv A. Marathe
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| |
Collapse
|
9
|
Negi A, Singh K, Jaiswal S, Kokkat JG, Angadi UB, Iquebal MA, Umadevi P, Rai A, Kumar D. Rapid Genome-Wide Location-Specific Polymorphic SSR Marker Discovery in Black Pepper by GBS Approach. FRONTIERS IN PLANT SCIENCE 2022; 13:846937. [PMID: 35712605 PMCID: PMC9197322 DOI: 10.3389/fpls.2022.846937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 04/19/2022] [Indexed: 06/15/2023]
Abstract
Black pepper (Piper nigrum), the "King of Spices," is an economically important spice in India and is known for its medicinal and cultural values. SSRs, the tandem repeats of small DNA sequences, are often polymorphic in nature with diverse applications. For population structure, QTL/gene discovery, MAS, and diversity analysis, it is imperative to have their location specificity. The existing PinigSSRdb catalogs ~70K putative SSR markers but these are anonymous (unknown chromosomal location), based on 916 scaffolds rather than 26 chromosomes. Under this study, we generated ddRAD sequence data of 29 black pepper genotypes from all over India, being low-cost and most efficient technique for the identification of polymorphic markers. The major limitation of ddRAD with compromised/non-uniform coverage has been successfully overcome by taking advantage of chromosome-wise data availability. The latest black pepper genome assembly was used to extract genome-wide SSRs. A total of 276,230 genomic SSRs were mined distributed over 26 chromosomes, with relative density of 362.88 SSRs/Mb and average distance of 2.76 Kb between two SSRs. This assembly was also used to find the polymorphic SSRs in the generated GBS data of 29 black pepper genotypes utilizing rapid and cost-effective method giving 3,176 polymorphic SSRs, out of which 2015 were found to be hypervariable. The developed web-genomic resource, BlackP2MSATdb (http://webtom.cabgrid.res.in/blackp2msatdb/), is the largest and first reported web resource for genomic and polymorphic SSRs of black pepper, which is useful to develop varietal signature, coreset, physical map, QTL/gene identification, and MAS in endeavor of black pepper production.
Collapse
Affiliation(s)
- Ankita Negi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Kalpana Singh
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Johnson George Kokkat
- Indian Council of Agricultural Research-Indian Institute of Spices Research, Kozhikode, India
| | - Ulavappa B. Angadi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - P. Umadevi
- Indian Council of Agricultural Research-Indian Institute of Spices Research, Kozhikode, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Mahendragarh, India
| |
Collapse
|
10
|
Han S, Zhou X, Shi L, Zhang H, Geng Y, Fang Y, Xia H, Liu H, Li P, Zhao S, Miao L, Hou L, Zhang Z, Xu J, Ma C, Wang Z, Li H, Zheng Z, Huang B, Dong W, Zhang J, Tang F, Li S, Gao M, Zhang X, Zhao C, Wang X. AhNPR3 regulates the expression of WRKY and PR genes, and mediates the immune response of the peanut (Arachis hypogaea L.). THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 110:735-747. [PMID: 35124871 DOI: 10.1111/tpj.15700] [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: 12/20/2021] [Revised: 01/27/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Systemic acquired resistance is an essential immune response that triggers a broad-spectrum disease resistance throughout the plant. In the present study, we identified a peanut lesion mimic mutant m14 derived from an ethyl methane sulfonate-mutagenized mutant pool of peanut cultivar "Yuanza9102." Brown lesions were observed in the leaves of an m14 mutant from seedling stage to maturity. Using MutMap together with bulked segregation RNA analysis approaches, a G-to-A point mutation was identified in the exon region of candidate gene Arahy.R60CUW, which is the homolog of AtNPR3 (Nonexpresser of PR genes) in Arabidopsis. This point mutation caused a transition from Gly to Arg within the C-terminal transactivation domain of AhNPR3A. The mutation of AhNPR3A showed no effect in the induction of PR genes when treated with salicylic acid. Instead, the mutation resulted in upregulation of WRKY genes and several PR genes, including pathogenesis-related thaumatin- and chitinase-encoding genes, which is consistent with the resistant phenotype of m14 to leaf spot disease. Further study on the AhNPR3A gene will provide valuable insights into understanding the molecular mechanism of systemic acquired resistance in peanut. Moreover, our results indicated that a combination of MutMap and bulked segregation RNA analysis is an effective method for identifying genes from peanut mutants.
Collapse
Affiliation(s)
- Suoyi Han
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Ximeng Zhou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Lei Shi
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Huayang Zhang
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Yun Geng
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
| | - Yuanjin Fang
- Kaifeng Academy of Agriculture and Forestry, Kaifeng, 475000, China
| | - Han Xia
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Hua Liu
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Pengcheng Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Shuzhen Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Lijuan Miao
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Lei Hou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Zhongxin Zhang
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Jing Xu
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Zhenyu Wang
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450000, China
| | - Hongyan Li
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Zheng Zheng
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Bingyan Huang
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Wenzhao Dong
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Jun Zhang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450000, China
| | - Fengshou Tang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450000, China
| | - Shaojian Li
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450000, China
| | - Meng Gao
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450000, China
| | - Xinyou Zhang
- Henan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences; Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, 250100, China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| |
Collapse
|
11
|
Zhang K, Yuan M, Xia H, He L, Ma J, Wang M, Zhao H, Hou L, Zhao S, Li P, Tian R, Pan J, Li G, Thudi M, Ma C, Wang X, Zhao C. BSA‑seq and genetic mapping reveals AhRt2 as a candidate gene responsible for red testa of peanut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1529-1540. [PMID: 35166897 DOI: 10.1007/s00122-022-04051-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
The candidate recessive gene AhRt2 responsible for red testa of peanut was identified through combined BSA-seq and linkage mapping approaches. The testa color of peanuts (Arachis hypogaea L.) is an important trait, and those with red testa are particularly popular owing to the high-anthocyanin content. However, the identification of genes underlying the regulation of the red testa trait in peanut are rarely reported. In order to fine map red testa gene, two F2:4 populations were constructed through the cross of YZ9102 (pink testa) with ZH12 (red testa) and ZH2 (red testa). Genetic analysis indicated that red testa was controlled by a single recessive gene named as AhRt2 (Red testa gene 2). Using BSA-seq approach, AhRt2 was preliminary identified on chromosome 12, which was further mapped to a 530-kb interval using 220 recombinant lines through linkage mapping. Furthermore, functional annotation, expression profiling, and the analyses of sequence variation confirmed that the anthocyanin reductase namely (Arahy.IK60LM) was the most likely candidate gene for AhRt2. It was found that a SNP in the third exon of AhRt2 altered the encoding amino acids, and was associated with red testa in peanut. In addition, a closely linked molecular marker linked with red testa trait in peanut was also developed for future studies. Our results provide valuable insight into the molecular mechanism underlying peanut testa color and present significant diagnostic marker resources for marker-assisted selected breeding in peanut.
Collapse
Affiliation(s)
- Kun Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Agricultural Science and Technology, Shandong Agriculture and Engineering University, Jinan, 250100, People's Republic of China
- College of Tropical Crops, Hainan University, Haikou, 572208, China
| | - Mei Yuan
- Shandong Peanut Research Institute, Qingdao, 266199, Shandong, People's Republic of China
| | - Han Xia
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Liangqiong He
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Jing Ma
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Mingxiao Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Huiling Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Lei Hou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Shuzhen Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Pengcheng Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Ruizheng Tian
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Jiaowen Pan
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Guanghui Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Mahendar Thudi
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- Dr. Rajendra Prasad Central Agricultural University, Pusa, Samsthipur, Bihar, 848125, India
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China.
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China.
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China.
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China.
| |
Collapse
|
12
|
Patil PG, Singh NV, Bohra A, Jamma S, N M, C VS, Karuppannan DB, Sharma J, Marathe RA. Novel miRNA-SSRs for Improving Seed Hardness Trait of Pomegranate (Punica granatum L.). Front Genet 2022; 13:866504. [PMID: 35495126 PMCID: PMC9040167 DOI: 10.3389/fgene.2022.866504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Present research discovered novel miRNA-SSRs for seed type trait from 761 potential precursor miRNA sequences of pomegranate. SSR mining and BLASTx of the unique sequences identified 69 non-coding pre-miRNA sequences, which were then searched for BLASTn homology against Dabenzi genome. Sixty three true pri-miRNA contigs encoding 213 pre-miRNAs were predicted. Analysis of the resulting sequences enabled discovery of SSRs within pri-miRNA (227) and pre-miRNA sequences (79). A total of 132 miRNA-SSRs were developed for seed type trait from 63 true pri-miRNAs, of which 46 were specific to pre-miRNAs. Through ePCR, 123 primers were validated and mapped on eight Tunisia chromosomes. Further, 80 SSRs producing specific amplicons were ePCR-confirmed on multiple genomes i.e. Dabenzi, Taishanhong, AG2017 and Tunisia, yielding a set of 63 polymorphic SSRs (polymorphism information content ≥0.5). Of these, 32 miRNA-SSRs revealed higher polymorphism level (89.29%) when assayed on six pomegranate genotypes. Furthermore, target prediction and network analysis suggested a possible association of miRNA-SSRs i.e. miRNA_SH_SSR69, miRNA_SH_SSR36, miRNA_SH_SSR103, miRNA_SH_SSR35 and miRNA_SH_SSR53 with seed type trait. These miRNA-SSRs would serve as important genomic resource for rapid and targeted improvement of seed type trait of pomegranate.
Collapse
Affiliation(s)
- Prakash Goudappa Patil
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
- *Correspondence: Prakash Goudappa Patil,
| | | | - Abhishek Bohra
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, India
| | - Shivani Jamma
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| | - Manjunatha N
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| | - Venkatesh S. C
- Dept. of Biotechnology and Crop Improvement, University of Horticultural Sciences (UHS), Bagalkot, India
| | | | - Jyotsana Sharma
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| | - Rajiv A. Marathe
- ICAR-National Research Centre on Pomegranate (NRCP), Solapur, India
| |
Collapse
|
13
|
Khan A, Singh K, Jaiswal S, Raza M, Jasrotia RS, Kumar A, Gurjar AKS, Kumari J, Nayan V, Iquebal MA, Angadi UB, Rai A, Datta TK, Kumar D. Whole-Genome-Based Web Genomic Resource for Water Buffalo (Bubalus bubalis). Front Genet 2022; 13:809741. [PMID: 35480326 PMCID: PMC9035531 DOI: 10.3389/fgene.2022.809741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 02/14/2022] [Indexed: 11/13/2022] Open
Abstract
Water buffalo (Bubalus bubalis), belonging to the Bovidae family, is an economically important animal as it is the major source of milk, meat, and drought in numerous countries. It is mainly distributed in tropical and subtropical regions with a global population of approximately 202 million. The advent of low cost and rapid sequencing technologies has opened a new vista for global buffalo researchers. In this study, we utilized the genomic data of five commercially important buffalo breeds, distributed globally, namely, Mediterranean, Egyptian, Bangladesh, Jaffrarabadi, and Murrah. Since there is no whole-genome sequence analysis of these five distinct buffalo breeds, which represent a highly diverse ecosystem, we made an attempt for the same. We report the first comprehensive, holistic, and user-friendly web genomic resource of buffalo (BuffGR) accessible at http://backlin.cabgrid.res.in/buffgr/, that catalogues 6028881 SNPs and 613403 InDels extracted from a set of 31 buffalo tissues. We found a total of 7727122 SNPs and 634124 InDels distributed in four breeds of buffalo (Murrah, Bangladesh, Jaffarabadi, and Egyptian) with reference to the Mediterranean breed. It also houses 4504691 SSR markers from all the breeds along with 1458 unique circRNAs, 37712 lncRNAs, and 938 miRNAs. This comprehensive web resource can be widely used by buffalo researchers across the globe for use of markers in marker trait association, genetic diversity among the different breeds of buffalo, use of ncRNAs as regulatory molecules, post-transcriptional regulations, and role in various diseases/stresses. These SNPs and InDelscan also be used as biomarkers to address adulteration and traceability. This resource can also be useful in buffalo improvement programs and disease/breed management.
Collapse
Affiliation(s)
- Aamir Khan
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Kalpana Singh
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mustafa Raza
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Rahul Singh Jasrotia
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Animesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anoop Kishor Singh Gurjar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Juli Kumari
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Varij Nayan
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
- *Correspondence: Mir Asif Iquebal,
| | - U. B. Angadi
- 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
| |
Collapse
|
14
|
Zhao H, Tian R, Xia H, Li C, Li G, Li A, Zhang X, Zhou X, Ma J, Huang H, Zhang K, Thudi M, Ma C, Wang X, Zhao C. High-Density Genetic Variation Map Reveals Key Candidate Loci and Genes Associated With Important Agronomic Traits in Peanut. Front Genet 2022; 13:845602. [PMID: 35401655 PMCID: PMC8990815 DOI: 10.3389/fgene.2022.845602] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Peanut is one of the most important cash crops with high quality oil, high protein content, and many other nutritional elements, and grown globally. Cultivated peanut (Arachis hypogaea L.) is allotetraploid with a narrow genetic base, and its genetics and molecular mechanisms controlling the agronomic traits are poorly understood. Here, we report a comprehensive genome variation map based on the genotyping of a panel of 178 peanut cultivars using Axiom_Arachis2 SNP array, including 163 representative varieties of different provinces in China, and 15 cultivars from 9 other countries. According to principal component analysis (PCA) and phylogenetic analysis, the peanut varieties were divided into 7 groups, notable genetic divergences between the different areas were shaped by environment and domestication. Using genome-wide association study (GWAS) analysis, we identified several marker-trait associations (MTAs) and candidate genes potentially involved in regulating several agronomic traits of peanut, including one MTA related with hundred seed weight, one MTA related with total number of branches, and 14 MTAs related with pod shape. This study outlines the genetic basis of these peanut cultivars and provides 13,125 polymorphic SNP markers for further distinguishing and utility of these elite cultivars. In addition, the candidate loci and genes provide valuable information for further fine mapping of QTLs and improving the quality and yield of peanut using a genomic-assisted breeding method.
Collapse
Affiliation(s)
- Huiling Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Ruizheng Tian
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Han Xia
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Changsheng Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Guanghui Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Aiqin Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Xianying Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Ximeng Zhou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Jing Ma
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Huailing Huang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Kun Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Agricultural Science and Technology, Shandong Agriculture and Engineering University, Jinan, China
| | - Mahendar Thudi
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- Rajendra Prasad Central Agricultural University, Samsthipur, India
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
- *Correspondence: Xingjun Wang, ; Chuanzhi Zhao,
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
- *Correspondence: Xingjun Wang, ; Chuanzhi Zhao,
| |
Collapse
|
15
|
Zhao C, He L, Xia H, Zhou X, Geng Y, Hou L, Li P, Li G, Zhao S, Ma C, Tang R, Pandey MK, Varshney RK, Wang X. De novo full length transcriptome analysis of Arachis glabrata provides insights into gene expression dynamics in response to biotic and abiotic stresses. Genomics 2021; 113:1579-1588. [PMID: 33819563 DOI: 10.1016/j.ygeno.2021.03.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 03/21/2021] [Accepted: 03/29/2021] [Indexed: 11/26/2022]
Abstract
The perennial ornamental peanut Arachis glabrata represents one of the most adaptable wild Arachis species. This study used PacBio combined with BGISEQ-500 RNA-seq technology to study the transcriptome and gene expression dynamics of A. glabrata. Of the total 109,747 unique transcripts obtained, >90,566 transcripts showed significant homology to known proteins and contained the complete coding sequence (CDS). RNA-seq revealed that 1229, 1039, 1671, 3923, 1521 and 1799 transcripts expressed specifically in the root, stem, leaf, flower, peg and pod, respectively. We also identified thousands of differentially expressed transcripts in response to drought, salt, cold and leaf spot disease. Furthermore, we identified 30 polyphenol oxidase encoding genes associated with the quality of forage, making A. glabrata suitable as a forage crop. Our findings presented the first transcriptome study of A. glabrata which will facilitate genetic and genomics studies and lays the groundwork for a deeper understanding of the A. glabrata genome.
Collapse
Affiliation(s)
- Chuanzhi Zhao
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China; College of Life Sciences, Shandong Normal University, Jinan 250014, People's Republic of China.
| | - Liangqiong He
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, People's Republic of China
| | - Han Xia
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China; College of Life Sciences, Shandong Normal University, Jinan 250014, People's Republic of China
| | - Ximeng Zhou
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China; College of Life Sciences, Shandong Normal University, Jinan 250014, People's Republic of China
| | - Yun Geng
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China
| | - Lei Hou
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China
| | - Pengcheng Li
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China; College of Life Sciences, Shandong Normal University, Jinan 250014, People's Republic of China
| | - Guanghui Li
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China
| | - Shuzhen Zhao
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan 250014, People's Republic of China
| | - Ronghua Tang
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, People's Republic of China
| | - Manish K Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
| | - Xingjun Wang
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan 250100, People's Republic of China; College of Life Sciences, Shandong Normal University, Jinan 250014, People's Republic of China.
| |
Collapse
|
16
|
Patil PG, Singh NV, Bohra A, Raghavendra KP, Mane R, Mundewadikar DM, Babu KD, Sharma J. Comprehensive Characterization and Validation of Chromosome-Specific Highly Polymorphic SSR Markers From Pomegranate ( Punica granatum L.) cv. Tunisia Genome. FRONTIERS IN PLANT SCIENCE 2021; 12:645055. [PMID: 33796127 PMCID: PMC8007985 DOI: 10.3389/fpls.2021.645055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/12/2021] [Indexed: 05/05/2023]
Abstract
The simple sequence repeat (SSR) survey of 'Tunisia' genome (296.85 Mb) identified a total of 365,279 perfect SSRs spanning eight chromosomes, with a mean marker density of 1,230.6 SSRs/Mb. We found a positive trend in chromosome length and the SSR abundance as marker density enhanced with a shorter chromosome length. The highest number of SSRs (60,708) was mined from chromosome 1 (55.56 Mb), whereas the highest marker density (1,294.62 SSRs/Mb) was recorded for the shortest chromosome 8 (27.99 Mb). Furthermore, we categorized all SSR motifs into three major classes based on their tract lengths. Across the eight chromosomes, the class III had maximum number of SSR motifs (301,684, 82.59%), followed by the class II (31,056, 8.50%) and the class I (5,003, 1.37%). Examination of the distribution of SSR motif types within a chromosome suggested the abundance of hexanucleotide repeats in each chromosome followed by dinucleotides, and these results are consistent with 'Tunisia' genome features as a whole. Concerning major repeat types, AT/AG was the most frequent (14.16%), followed by AAAAAT/AAAAAG (7.89%), A/C (7.54%), AAT/AAG (5.23%), AAAT/AAAG (4.37%), and AAAAT/AAAAG (1.2%) types. We designed and validated a total of 3,839 class I SSRs in the 'Tunisia' genome through electronic polymerase chain reaction (ePCR) and found 1,165 (30.34%) SSRs producing a single amplicon. Then, we selected 906 highly variable SSRs (> 40 nt) from the ePCR-verified class I SSRs and in silico validated across multiple draft genomes of pomegranate, which provided us a subset of 265 highly polymorphic SSRs. Of these, 235 primers were validated on six pomegranate genotypes through wet-lab experiment. We found 221 (94%) polymorphic SSRs on six genotypes, and 187 of these SSRs had ≥ 0.5 PIC values. The utility of the developed SSRs was demonstrated by analyzing genetic diversity of 30 pomegranate genotypes using 16 HvSSRs spanning eight pomegranate chromosomes. In summary, we developed a comprehensive set of highly polymorphic genome-wide SSRs. These chromosome-specific SSRs will serve as a powerful genomic tool to leverage future genetic studies, germplasm management, and genomics-assisted breeding in pomegranate.
Collapse
Affiliation(s)
- Prakash Goudappa Patil
- ICAR-National Research Centre on Pomegranate, Solapur, India
- *Correspondence: Prakash Goudappa Patil,
| | | | | | | | - Rushikesh Mane
- ICAR-National Research Centre on Pomegranate, Solapur, India
| | | | | | - Jyotsana Sharma
- ICAR-National Research Centre on Pomegranate, Solapur, India
| |
Collapse
|
17
|
Jiao SQ, Dong AX, Shi TL, Liu H, Porth I, Xin HB, Mao JF. Development of a Large Gene-Associated SSR Marker Set and in-Depth Genetic Characterization in Scarlet Sage. Front Genet 2020; 11:504. [PMID: 32508885 PMCID: PMC7253628 DOI: 10.3389/fgene.2020.00504] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 04/23/2020] [Indexed: 11/25/2022] Open
Abstract
Salvia splendens, scarlet or tropical sage, is a tender perennial herbaceous flowering plant popularly grown in public and private gardens all over the world. In this study, we developed a set of simple sequence repeats (SSRs) from genome-wide sequences to assess the genetic diversity and population structure among 112 cultivars. We obtained 364,379 SSRs by mining scarlet sage’s recently published whole genome sequence; 14,545 gene-associated SSR loci were identified in 2 kb gene flanking regions. Among the 768 gene-associated SSR primer sets we screened, 576 loci successfully amplified in DNA pools of 3–4 different cultivars, of which 271 remained polymorphic when tested across eight individual plants. We searched for the related gene functions attributable to these gene-associated SSRs using diverse databases, resulting in 259 Non-redundant matching sequences, 205 individual Gene Ontology (GO) terms, 236 assigned to eukaryotic orthologous groups, and 67 KEGG-annotated (Kyoto Encyclopedia of Genes and Genomes) sequences. We finally selected 41 polymorphic SSR loci to infer genetic diversity and population structure among 112 S. splendens accessions. Based on the developed gene-associated SSRs, clustering analyses consistently revealed two distinct genetic groups within the core collection of S. splendens cultivars. This work developed and characterized an exhaustive set of genome-wide gene-associated SSR markers for scarlet sage. These SSRs can provide species identification, genetic diversity and population structure information for S. splendens, and will therefore be important tools for the management and protection of S. splendens germplasm.
Collapse
Affiliation(s)
- Si-Qian Jiao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Ai-Xiang Dong
- Beijing Key Laboratory of Greening Plants Breeding, Beijing Institute of Landscape Architecture, Beijing, China
| | - Tian-Le Shi
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Hui Liu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Ilga Porth
- Département des Sciences du Bois et de la Forêt, Pavillon Charles-Eugène-Marchand, Université Laval, Québec, QC, Canada
| | - Hai-Bo Xin
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Beijing Key Laboratory of Greening Plants Breeding, Beijing Institute of Landscape Architecture, Beijing, China
| | - Jian-Feng Mao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| |
Collapse
|
18
|
Pandey MK, Pandey AK, Kumar R, Nwosu CV, Guo B, Wright GC, Bhat RS, Chen X, Bera SK, Yuan M, Jiang H, Faye I, Radhakrishnan T, Wang X, Liang X, Liao B, Zhang X, Varshney RK, Zhuang W. Translational genomics for achieving higher genetic gains in groundnut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1679-1702. [PMID: 32328677 PMCID: PMC7214508 DOI: 10.1007/s00122-020-03592-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Accepted: 04/01/2020] [Indexed: 05/13/2023]
Abstract
KEY MESSAGE Groundnut has entered now in post-genome era enriched with optimum genomic and genetic resources to facilitate faster trait dissection, gene discovery and accelerated genetic improvement for developing climate-smart varieties. Cultivated groundnut or peanut (Arachis hypogaea), an allopolyploid oilseed crop with a large and complex genome, is one of the most nutritious food. This crop is grown in more than 100 countries, and the low productivity has remained the biggest challenge in the semiarid tropics. Recently, the groundnut research community has witnessed fast progress and achieved several key milestones in genomics research including genome sequence assemblies of wild diploid progenitors, wild tetraploid and both the subspecies of cultivated tetraploids, resequencing of diverse germplasm lines, genome-wide transcriptome atlas and cost-effective high and low-density genotyping assays. These genomic resources have enabled high-resolution trait mapping by using germplasm diversity panels and multi-parent genetic populations leading to precise gene discovery and diagnostic marker development. Furthermore, development and deployment of diagnostic markers have facilitated screening early generation populations as well as marker-assisted backcrossing breeding leading to development and commercialization of some molecular breeding products in groundnut. Several new genomics applications/technologies such as genomic selection, speed breeding, mid-density genotyping assay and genome editing are in pipeline. The integration of these new technologies hold great promise for developing climate-smart, high yielding and more nutritious groundnut varieties in the post-genome era.
Collapse
Affiliation(s)
- Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
- University of Southern Queensland (USQ), Toowoomba, Australia.
| | - Arun K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rakesh Kumar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Central University of Karnataka, Gulbarga, India
| | | | - Baozhu Guo
- Crop Protection and Management Research Unit, United State Department of Agriculture - Agricultural Research Service (USDA-ARS), Tifton, USA
| | - Graeme C Wright
- University of Southern Queensland (USQ), Toowoomba, Australia
- Peanut Company of Australia (PCA), Kingaroy, Australia
| | - Ramesh S Bhat
- University of Agricultural Sciences (UAS), Dharwad, India
| | - Xiaoping Chen
- Crops Research Institute (CRI), Guangdong Academy of Agricultural Sciences (GAAS), Guangzhou, China
| | - Sandip K Bera
- ICAR-Directorate of Groundnut Research (DGR), Junagadh, India
| | - Mei Yuan
- Shandong Peanut Research Institute (SPRI), Qingdao, China
| | - Huifang Jiang
- Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Issa Faye
- Institut Sénégalais de Recherches Agricoles (ISRA)-Centre National de Recherches Agronomiques (CNRA), Bambey, Senegal
| | | | - Xingjun Wang
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
| | - Xuanquiang Liang
- Crops Research Institute (CRI), Guangdong Academy of Agricultural Sciences (GAAS), Guangzhou, China
| | - Boshou Liao
- Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Xinyou Zhang
- Henan Academy of Agricultural Sciences (HAAS), Zhenzhou, China
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
| | - Weijian Zhuang
- Institute of Oil Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
| |
Collapse
|
19
|
Cao Y, Chen M, Dong D, Xie S, Liu M. Environmental pollutants damage airway epithelial cell cilia: Implications for the prevention of obstructive lung diseases. Thorac Cancer 2020. [PMID: 31975505 DOI: 10.1111/tca.v11.310.1111/1759-7714.13323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2023] Open
Abstract
Mucociliary epithelium lining the upper and lower respiratory tract constitutes the first line of defense of the airway and lungs against inhaled pollutants and pathogens. The concerted beating of multiciliated cells drives mucociliary clearance. Abnormalities in both the structure and function of airway cilia have been implicated in obstructive lung diseases. Emerging evidence reveals a close correlation between lung diseases and environmental stimuli such as sulfur dioxide and tobacco particles. However, the underlying mechanism remains to be described. In this review, we emphasize the importance of airway cilia in mucociliary clearance and discuss how environmental pollutants affect the structure and function of airway cilia, thus shedding light on the function of airway cilia in preventing obstructive lung diseases and revealing the negative effects of environmental pollutants on human health.
Collapse
Affiliation(s)
- Yu Cao
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Miao Chen
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Dan Dong
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Songbo Xie
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Min Liu
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| |
Collapse
|
20
|
Ojiewo CO, Janila P, Bhatnagar-Mathur P, Pandey MK, Desmae H, Okori P, Mwololo J, Ajeigbe H, Njuguna-Mungai E, Muricho G, Akpo E, Gichohi-Wainaina WN, Variath MT, Radhakrishnan T, Dobariya KL, Bera SK, Rathnakumar AL, Manivannan N, Vasanthi RP, Kumar MVN, Varshney RK. Advances in Crop Improvement and Delivery Research for Nutritional Quality and Health Benefits of Groundnut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2020; 11:29. [PMID: 32153601 PMCID: PMC7046547 DOI: 10.3389/fpls.2020.00029] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Accepted: 01/13/2020] [Indexed: 05/28/2023]
Abstract
Groundnut is an important global food and oil crop that underpins agriculture-dependent livelihood strategies meeting food, nutrition, and income security. Aflatoxins, pose a major challenge to increased competitiveness of groundnut limiting access to lucrative markets and affecting populations that consume it. Other drivers of low competitiveness include allergens and limited shelf life occasioned by low oleic acid profile in the oil. Thus grain off-takers such as consumers, domestic, and export markets as well as processors need solutions to increase profitability of the grain. There are some technological solutions to these challenges and this review paper highlights advances in crop improvement to enhance groundnut grain quality and nutrient profile for food, nutrition, and economic benefits. Significant advances have been made in setting the stage for marker-assisted allele pyramiding for different aflatoxin resistance mechanisms-in vitro seed colonization, pre-harvest aflatoxin contamination, and aflatoxin production-which, together with pre- and post-harvest management practices, will go a long way in mitigating the aflatoxin menace. A breakthrough in aflatoxin control is in sight with overexpression of antifungal plant defensins, and through host-induced gene silencing in the aflatoxin biosynthetic pathway. Similarly, genomic and biochemical approaches to allergen control are in good progress, with the identification of homologs of the allergen encoding genes and development of monoclonal antibody based ELISA protocol to screen for and quantify major allergens. Double mutation of the allotetraploid homeologous genes, FAD2A and FAD2B, has shown potential for achieving >75% oleic acid as demonstrated among introgression lines. Significant advances have been made in seed systems research to bridge the gap between trait discovery, deployment, and delivery through innovative partnerships and action learning.
Collapse
Affiliation(s)
- Chris O. Ojiewo
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Pasupuleti Janila
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Pooja Bhatnagar-Mathur
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish K. Pandey
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Haile Desmae
- Research Program – West and Central Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Bamako, Mali
| | - Patrick Okori
- Research Program – Eastern and Southern Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Lilongwe, Malawi
| | - James Mwololo
- Research Program – Eastern and Southern Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Lilongwe, Malawi
| | - Hakeem Ajeigbe
- Research Program – West and Central Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Kano, Nigeria
| | - Esther Njuguna-Mungai
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Geoffrey Muricho
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Essegbemon Akpo
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | - Wanjiku N. Gichohi-Wainaina
- Research Program – Eastern and Southern Africa, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Lilongwe, Malawi
| | - Murali T. Variath
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Thankappan Radhakrishnan
- Indian Council of Agricultural Research - Directorate of Groundnut Research (ICAR-DGR), Junagadh, India
| | - Kantilal L. Dobariya
- Main Oilseeds Research Station, Junagadh Agricultural University (JAU), Junagadh, India
| | - Sandip Kumar Bera
- Indian Council of Agricultural Research - Directorate of Groundnut Research (ICAR-DGR), Junagadh, India
| | | | - Narayana Manivannan
- National Pulses Research Center, Tamil Nadu Agricultural University (TNAU), Pudukkottai, India
| | - Ragur Pandu Vasanthi
- Regional Agricultural Research Station, Acharya NG Ranga Agricultural University (ANGRAU), Tirupati, India
| | - Mallela Venkata Nagesh Kumar
- Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University (PJTSAU), Hyderabad, India
| | - Rajeev K. Varshney
- Research Program – Genetic Gains, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| |
Collapse
|
21
|
Cao Y, Chen M, Dong D, Xie S, Liu M. Environmental pollutants damage airway epithelial cell cilia: Implications for the prevention of obstructive lung diseases. Thorac Cancer 2020; 11:505-510. [PMID: 31975505 PMCID: PMC7049516 DOI: 10.1111/1759-7714.13323] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/03/2020] [Accepted: 01/04/2020] [Indexed: 01/11/2023] Open
Abstract
Mucociliary epithelium lining the upper and lower respiratory tract constitutes the first line of defense of the airway and lungs against inhaled pollutants and pathogens. The concerted beating of multiciliated cells drives mucociliary clearance. Abnormalities in both the structure and function of airway cilia have been implicated in obstructive lung diseases. Emerging evidence reveals a close correlation between lung diseases and environmental stimuli such as sulfur dioxide and tobacco particles. However, the underlying mechanism remains to be described. In this review, we emphasize the importance of airway cilia in mucociliary clearance and discuss how environmental pollutants affect the structure and function of airway cilia, thus shedding light on the function of airway cilia in preventing obstructive lung diseases and revealing the negative effects of environmental pollutants on human health.
Collapse
Affiliation(s)
- Yu Cao
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Miao Chen
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Dan Dong
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Songbo Xie
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| | - Min Liu
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China
| |
Collapse
|
22
|
Zhao Y, Ma J, Li M, Deng L, Li G, Xia H, Zhao S, Hou L, Li P, Ma C, Yuan M, Ren L, Gu J, Guo B, Zhao C, Wang X. Whole-genome resequencing-based QTL-seq identified AhTc1 gene encoding a R2R3-MYB transcription factor controlling peanut purple testa colour. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:96-105. [PMID: 31131506 PMCID: PMC6920131 DOI: 10.1111/pbi.13175] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 05/15/2019] [Accepted: 05/20/2019] [Indexed: 05/08/2023]
Abstract
Peanut (Arachis hypogaea. L) is an important oil crop worldwide. The common testa colours of peanut varieties are pink or red. But the peanut varieties with dark purple testa have been focused in recent years due to the potential high levels of anthocyanin, an added nutritional value of antioxidant. However, the genetic mechanism regulating testa colour of peanut is unknown. In this study, we found that the purple testa was decided by the female parent and controlled by a single major gene named AhTc1. To identify the candidate gene controlling peanut purple testa, whole-genome resequencing-based approach (QTL-seq) was applied, and a total of 260.9 Gb of data were generated from the parental and bulked lines. SNP index analysis indicated that AhTc1 located in a 4.7 Mb region in chromosome A10, which was confirmed by bulked segregant RNA sequencing (BSR) analysis in three segregation populations derived from the crosses between pink and purple testa varieties. Allele-specific markers were developed and demonstrated that the marker pTesta1089 was closely linked with purple testa. Further, AhTc1 encoding a R2R3-MYB gene was positional cloned. The expression of AhTc1 was significantly up-regulated in the purple testa parent YH29. Overexpression of AhTc1 in transgenic tobacco plants led to purple colour of leaves, flowers, pods and seeds. In conclusion, AhTc1, encoding a R2R3-MYB transcription factor and conferring peanut purple testa, was identified, which will be useful for peanut molecular breeding selection for cultivars with purple testa colour for potential increased nutritional value to consumers.
Collapse
Affiliation(s)
- Yuhan Zhao
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Junjie Ma
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong UniversityJinanChina
| | - Ming Li
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
| | - Li Deng
- Kaifeng Academy of Agriculture and ForestryKaifengChina
| | - Guanghui Li
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
| | - Han Xia
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Shuzhen Zhao
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Lei Hou
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
| | - Pengcheng Li
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Changle Ma
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Mei Yuan
- Shandong Peanut Research InstituteShandong, QingdaoChina
| | - Li Ren
- Kaifeng Academy of Agriculture and ForestryKaifengChina
| | - Jianzhong Gu
- Kaifeng Academy of Agriculture and ForestryKaifengChina
| | - Baozhu Guo
- Crop Protection and Management Research UnitUSDA‐Agricultural Research ServiceTiftonGAUSA
- Department of Plant PathologyUniversity of GeorgiaTiftonGAUSA
| | - Chuanzhi Zhao
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
- Crop Protection and Management Research UnitUSDA‐Agricultural Research ServiceTiftonGAUSA
- Department of Plant PathologyUniversity of GeorgiaTiftonGAUSA
| | - Xingjun Wang
- Biotechnology Research CenterShandong Academy of Agricultural SciencesShandong Provincial Key Laboratory of Crop Genetic ImprovementEcology and PhysiologyJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
| |
Collapse
|
23
|
Kumari R, Wankhede DP, Bajpai A, Maurya A, Prasad K, Gautam D, Rangan P, Latha M, John K. J, A. S, Bhat KV, Gaikwad AB. Genome wide identification and characterization of microsatellite markers in black pepper (Piper nigrum): A valuable resource for boosting genomics applications. PLoS One 2019; 14:e0226002. [PMID: 31834893 PMCID: PMC6910694 DOI: 10.1371/journal.pone.0226002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Accepted: 11/18/2019] [Indexed: 11/23/2022] Open
Abstract
Black pepper is one of the most valued and widely used spices in the world and dominates multi-billion dollar global spices trade. India is amongst the major producers, consumers and exporters of black pepper. In spite of its commercial and cultural importance, black pepper has received meagre attention in terms of generation of genomic resources. Availability of markers distributed throughout the genome would facilitate and accelerate genetic studies, QTL identification, genetic enhancement and crop improvement in black pepper. In this perspective, the sequence information from the recently sequenced black pepper (Piper nigrum) genome has been used for identification and characterisation of Simple Sequence Repeats (SSRs). Total 69,126 SSRs were identified from assembled genomic sequence of P. nigrum. The SSR frequency was 158 per MB making it, one SSR for every 6.3 kb in the assembled genome. Among the different types of microsatellite repeat motifs, dinucleotides were the most abundant (48.6%), followed by trinucleotide (23.7%) and compound repeats (20.62%). A set of 85 SSRs were used for validation, of which 74 produced amplification products of expected size. Genetic diversity of 30 black pepper accessions using 50 SSRs revealed four distinct clusters. Further, the cross species transferability of the SSRs was checked in nine other Piper species. Out of 50 SSRs used, 19 and 31 SSRs were amplified in nine and seven species, respectively. Thus the identified SSRs may have application in other species of the genus Piper where genome sequence is not available yet. Present study reports the first NGS based genomic SSRs in black pepper and thus constitute a valuable resource for a whole fleet of applications in genetics and plant breeding studies such as genetic map construction, QTL identification, map-based gene cloning, marker-assisted selection and evolutionary studies in Piper nigrum and related species.
Collapse
Affiliation(s)
- Ratna Kumari
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | | | - Akansha Bajpai
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Avantika Maurya
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Kartikay Prasad
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Dikshant Gautam
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Parimalan Rangan
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - M. Latha
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Joseph John K.
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Suma A.
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Kangila V. Bhat
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ambika B. Gaikwad
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
- * E-mail:
| |
Collapse
|
24
|
Lu Q, Hong Y, Li S, Liu H, Li H, Zhang J, Lan H, Liu H, Li X, Wen S, Zhou G, Varshney RK, Jiang H, Chen X, Liang X. Genome-wide identification of microsatellite markers from cultivated peanut (Arachis hypogaea L.). BMC Genomics 2019; 20:799. [PMID: 31675924 PMCID: PMC6824139 DOI: 10.1186/s12864-019-6148-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 09/29/2019] [Indexed: 12/03/2022] Open
Abstract
Background Microsatellites, or simple sequence repeats (SSRs), represent important DNA variations that are widely distributed across the entire plant genome and can be used to develop SSR markers, which can then be used to conduct genetic analyses and molecular breeding. Cultivated peanut (A. hypogaea L.), an important oil crop worldwide, is an allotetraploid (AABB, 2n = 4× = 40) plant species. Because of its complex genome, genomic marker development has been very challenging. However, sequencing of cultivated peanut genome allowed us to develop genomic markers and construct a high-density physical map. Results A total of 8,329,496 SSRs were identified, including 3,772,653, 4,414,961, and 141,882 SSRs that were distributed in subgenome A, B, and nine scaffolds, respectively. Based on the flanking sequences of the identified SSRs, a total of 973,984 newly developed SSR markers were developed in subgenome A (462,267), B (489,394), and nine scaffolds (22,323), with an average density of 392.45 markers per Mb. In silico PCR evaluation showed that an average of 88.32% of the SSR markers generated only one in silico-specific product in two tetraploid A. hypogaea varieties, Tifrunner and Shitouqi. A total of 39,599 common SSR markers were identified among the two A. hypogaea varieties and two progenitors, A. duranensis and A. ipaensis. Additionally, an amplification effectiveness of 44.15% was observed by real PCR validation. Moreover, a total of 1276 public SSR loci were integrated with the newly developed SSR markers. Finally, a previously known leaf spot quantitative trait locus (QTL), qLLS_T13_A05_7, was determined to be in a 1.448-Mb region on chromosome A05. In this region, a total of 819 newly developed SSR markers were located and 108 candidate genes were detected. Conclusions The availability of these newly developed and public SSR markers both provide a large number of molecular markers that could potentially be used to enhance the process of trait genetic analyses and improve molecular breeding strategies for cultivated peanut.
Collapse
Affiliation(s)
- Qing Lu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Yanbin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Shaoxiong Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Hao Liu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Haifen Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Jianan Zhang
- MolBreeding Biotechnology Co., Ltd., Shijiazhuang, China
| | - Haofa Lan
- MolBreeding Biotechnology Co., Ltd., Shijiazhuang, China
| | - Haiyan Liu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Xingyu Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Shijie Wen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Guiyuan Zhou
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China.
| | - Xuanqiang Liang
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Guangdong Provincial Key Laboratory for Crop Genetic Improvement, Guangzhou, 510640, China.
| |
Collapse
|
25
|
Ojiewo C, Monyo E, Desmae H, Boukar O, Mukankusi‐Mugisha C, Thudi M, Pandey MK, Saxena RK, Gaur PM, Chaturvedi SK, Fikre A, Ganga Rao NPVR, SameerKumar CV, Okori P, Janila P, Rubyogo JC, Godfree C, Akpo E, Omoigui L, Nkalubo S, Fenta B, Binagwa P, Kilango M, Williams M, Mponda O, Okello D, Chichaybelu M, Miningou A, Bationo J, Sako D, Diallo S, Echekwu C, Umar ML, Oteng‐Frimpong R, Mohammed H, Varshney RK. Genomics, genetics and breeding of tropical legumes for better livelihoods of smallholder farmers. PLANT BREEDING = ZEITSCHRIFT FUR PFLANZENZUCHTUNG 2019; 138:487-499. [PMID: 31787790 PMCID: PMC6876654 DOI: 10.1111/pbr.12554] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 11/04/2017] [Indexed: 05/04/2023]
Abstract
Legumes are important components of sustainable agricultural production, food, nutrition and income systems of developing countries. In spite of their importance, legume crop production is challenged by a number of biotic (diseases and pests) and abiotic stresses (heat, frost, drought and salinity), edaphic factors (associated with soil nutrient deficits) and policy issues (where less emphasis is put on legumes compared to priority starchy staples). Significant research and development work have been done in the past decade on important grain legumes through collaborative bilateral and multilateral projects as well as the CGIAR Research Program on Grain Legumes (CRP-GL). Through these initiatives, genomic resources and genomic tools such as draft genome sequence, resequencing data, large-scale genomewide markers, dense genetic maps, quantitative trait loci (QTLs) and diagnostic markers have been developed for further use in multiple genetic and breeding applications. Also, these mega-initiatives facilitated release of a number of new varieties and also dissemination of on-the-shelf varieties to the farmers. More efforts are needed to enhance genetic gains by reducing the time required in cultivar development through integration of genomics-assisted breeding approaches and rapid generation advancement.
Collapse
Affiliation(s)
- Chris Ojiewo
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)NairobiKenya
| | - Emmanuel Monyo
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)NairobiKenya
| | | | - Ousmane Boukar
- International Institute of Tropical Agriculture (IITA)KanoNigeria
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Stanley Nkalubo
- National Agricultural Research Organization (NARO)NamulongeUganda
| | - Berhanu Fenta
- Ethiopian Institute of Agricultural Research (EIAR)MelkassaEthiopia
| | - Papias Binagwa
- Selian Agricultural Research Institute (SARI)ArushaTanzania
| | | | | | | | - David Okello
- National Semi Arid Resources Research Institute (NaSARRI)SorotiUganda
| | | | - Amos Miningou
- Environmental Institute for Agricultural Research (INERA)OuagadougouBurkina Faso
| | - Joseph Bationo
- Environmental Institute for Agricultural Research (INERA)OuagadougouBurkina Faso
| | | | | | | | | | | | | | | |
Collapse
|
26
|
Desmae H, Janila P, Okori P, Pandey MK, Motagi BN, Monyo E, Mponda O, Okello D, Sako D, Echeckwu C, Oteng‐Frimpong R, Miningou A, Ojiewo C, Varshney RK. Genetics, genomics and breeding of groundnut ( Arachis hypogaea L.). PLANT BREEDING = ZEITSCHRIFT FUR PFLANZENZUCHTUNG 2019; 138:425-444. [PMID: 31598026 PMCID: PMC6774334 DOI: 10.1111/pbr.12645] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 04/10/2018] [Accepted: 07/13/2018] [Indexed: 05/04/2023]
Abstract
Groundnut is an important food and oil crop in the semiarid tropics, contributing to household food consumption and cash income. In Asia and Africa, yields are low attributed to various production constraints. This review paper highlights advances in genetics, genomics and breeding to improve the productivity of groundnut. Genetic studies concerning inheritance, genetic variability and heritability, combining ability and trait correlations have provided a better understanding of the crop's genetics to develop appropriate breeding strategies for target traits. Several improved lines and sources of variability have been identified or developed for various economically important traits through conventional breeding. Significant advances have also been made in groundnut genomics including genome sequencing, marker development and genetic and trait mapping. These advances have led to a better understanding of the groundnut genome, discovery of genes/variants for traits of interest and integration of marker-assisted breeding for selected traits. The integration of genomic tools into the breeding process accompanied with increased precision of yield trialing and phenotyping will increase the efficiency and enhance the genetic gain for release of improved groundnut varieties.
Collapse
Affiliation(s)
- Haile Desmae
- International Crop Research Institute for the Semi‐Arid Tropics (ICRISAT)BamakoMali
| | | | | | | | | | | | - Omari Mponda
- Division of Research and Development (DRD)Tanzania Agricultural Research Institute (TARI) ‐ NaliendeleMtwaraTanzania
| | - David Okello
- National Agricultural Research Organization (NARO)EntebbeUganda
| | | | | | | | - Amos Miningou
- Institut National d'Environnement et de Recherches Agricoles (INERA)OuagadougouBurkina Faso
| | | | | |
Collapse
|
27
|
Nanomaterials-based Electrochemical Immunosensors. MICROMACHINES 2019; 10:mi10060397. [PMID: 31207970 PMCID: PMC6630602 DOI: 10.3390/mi10060397] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 06/11/2019] [Accepted: 06/13/2019] [Indexed: 12/19/2022]
Abstract
With the development of nanomaterials and sensor technology, nanomaterials-based electrochemical immunosensors have been widely employed in various fields. Nanomaterials for electrode modification are emerging one after another in order to improve the performance of electrochemical immunosensors. When compared with traditional detection methods, electrochemical immunosensors have the advantages of simplicity, real-time analysis, high sensitivity, miniaturization, rapid detection time, and low cost. Here, we summarize recent developments in electrochemical immunosensors based on nanomaterials, including carbon nanomaterials, metal nanomaterials, and quantum dots. Additionally, we discuss research challenges and future prospects for this field of study.
Collapse
|
28
|
Tahoor A, Khan JA, Mahfooz S. A comparative survey of microsatellites among wild and domestic cat provides valuable resources for marker development. Mol Biol Rep 2019; 46:3025-3033. [PMID: 30864111 DOI: 10.1007/s11033-019-04739-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 03/03/2019] [Indexed: 10/27/2022]
Abstract
Information on the level and distribution of genetic variation is important for conservation plan of captive population of an endangered species such as tiger and cheetah. We assayed the frequency of microsatellites in the genomic and genic sequences of wild cats (Panthera tigris, Acinonyx jubatus) and compared it with the domestic cat (Felis catus). Frequency, relative abundance and density of microsatellites were highest in the domestic cat when compared with wild cats. The frequency of microsatellites was positively correlated with the G+C content of genomic and genic sequences. The maximum frequency of microsatellites among all three sequence sets was of di-nucleotide repeats (genomic-88.1%; genic-70.4%), whereas the hexa-nucleotide repeat represents < 0.5%. Motif conservation study among the genomic and genic sequences revealed conservation of 81.3% and 51.0% motif within the members of family Felidae. A total 40,233 primers from genic sequences were designed in order to enrich the members of family Felidae with genomic resources. The designed primers could be useful in determining the molecular genetics of population structure and individualization of a particular cat.
Collapse
Affiliation(s)
- Azram Tahoor
- Department of Wildlife Sciences, Aligarh Muslim University, Aligarh, Uttar Pradesh, 202002, India
| | - Jamal Ahmad Khan
- Department of Wildlife Sciences, Aligarh Muslim University, Aligarh, Uttar Pradesh, 202002, India
| | - Sahil Mahfooz
- Department of Biotechnology, V.B.S. Purvanchal University, Jaunpur, Uttar Pradesh, 222003, India. .,Division of Plant Microbe Interaction, CSIR-National Botanical Research Institute, Ranapratap Marg, Lucknow, Uttar Pradesh, 226001, India.
| |
Collapse
|
29
|
Das R, Arora V, Jaiswal S, Iquebal MA, Angadi UB, Fatma S, Singh R, Shil S, Rai A, Kumar D. PolyMorphPredict: A Universal Web-Tool for Rapid Polymorphic Microsatellite Marker Discovery From Whole Genome and Transcriptome Data. FRONTIERS IN PLANT SCIENCE 2019; 9:1966. [PMID: 30687361 PMCID: PMC6337687 DOI: 10.3389/fpls.2018.01966] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 12/18/2018] [Indexed: 06/09/2023]
Abstract
Microsatellites are ubiquitously distributed, polymorphic repeat sequence valuable for association, selection, population structure and identification. They can be mined by genomic library, probe hybridization and sequencing of selected clones. Such approach has many limitations like biased hybridization and selection of larger repeats. In silico mining of polymorphic markers using data of various genotypes can be rapid and economical. Available tools lack in some or other aspects like: targeted user defined primer generation, polymorphism discovery using multiple sequence, size and number limits of input sequence, no option for primer generation and e-PCR evaluation, transferability, lack of complete automation and user-friendliness. They also lack the provision to evaluate published primers in e-PCR mode to generate additional allelic data using re-sequenced data of various genotypes for judicious utilization of previously generated data. We developed the tool (PolyMorphPredict) using Perl, R, Java and launched at Apache which is available at http://webtom.cabgrid.res.in/polypred/. It mines microsatellite loci and computes primers from genome/transcriptome data of any species. It can perform e-PCR using published primers for polymorphism discovery and across species transferability of microsatellite loci. Present tool has been evaluated using five species of different genome size having 21 genotypes. Though server is equipped with genomic data of three species for test run with gel simulation, but can be used for any species. Further, polymorphism predictability has been validated using in silico and in vitro PCR of four rice genotypes. This tool can accelerate the in silico microsatellite polymorphism discovery in re-sequencing projects of any species of plant and animal for their diversity estimation along with variety/breed identification, population structure, MAS, QTL and gene discovery, traceability, parentage testing, fungal diagnostics and genome finishing.
Collapse
Affiliation(s)
- Ritwika Das
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Vasu Arora
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - MA Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - UB Angadi
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Samar Fatma
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Rakesh Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sandip Shil
- Research Center, ICAR-Central Plantation Crops Research Institute, Jalpaiguri, 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
| |
Collapse
|
30
|
Qu XJ. Complete plastome sequence of an endangered species, Calocedrus rupestris (Cupressaceae). Mitochondrial DNA B Resour 2019. [DOI: 10.1080/23802359.2019.1565972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Affiliation(s)
- Xiao-Jian Qu
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, College of Life Sciences, Shandong Normal University, Ji’nan, Shandong, China
| |
Collapse
|
31
|
Bhat NN, Mahiya-Farooq, Padder BA, Shah M, Dar M, Nabi A, Bano A, Rasool RS, Sana-Surma. Microsatellite mining in the genus Colletotrichum. GENE REPORTS 2018. [DOI: 10.1016/j.genrep.2018.09.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
|
32
|
Chen M, Xie S. Therapeutic targeting of cellular stress responses in cancer. Thorac Cancer 2018; 9:1575-1582. [PMID: 30312004 PMCID: PMC6275842 DOI: 10.1111/1759-7714.12890] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Revised: 09/13/2018] [Accepted: 09/14/2018] [Indexed: 11/30/2022] Open
Abstract
Similar to bacteria, yeast, and other organisms that have evolved pathways to respond to environmental stresses, cancer cells develop mechanisms that increase genetic diversity to facilitate adaptation to a variety of stressful conditions, including hypoxia, nutrient deprivation, exposure to DNA-damaging agents, and immune responses. To survive, cancer cells trigger mechanisms that drive genomic instability and mutation, alter gene expression programs, and reprogram the metabolic pathways to evade growth inhibition signaling and immune surveillance. A deeper understanding of the molecular mechanisms that underlie the pathways used by cancer cells to overcome stresses will allow us to develop more efficacious strategies for cancer therapy. Herein, we overview several key stresses imposed on cancer cells, including oxidative, metabolic, mechanical, and genotoxic, and discuss the mechanisms that drive cancer cell responses. The therapeutic implications of these responses are also considered, as these factors pave the way for the targeting of stress adaption pathways in order to slow cancer progression and block resistance to therapy.
Collapse
Affiliation(s)
- Miao Chen
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical SciencesShandong Normal UniversityJinanChina
| | - Songbo Xie
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical SciencesShandong Normal UniversityJinanChina
| |
Collapse
|
33
|
Khera P, Pandey MK, Mallikarjuna N, Sriswathi M, Roorkiwal M, Janila P, Sharma S, Shilpa K, Sudini H, Guo B, Varshney RK. Genetic imprints of domestication for disease resistance, oil quality, and yield component traits in groundnut (Arachis hypogaea L.). Mol Genet Genomics 2018; 294:365-378. [PMID: 30467595 DOI: 10.1007/s00438-018-1511-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 11/08/2018] [Indexed: 11/29/2022]
Abstract
Ploidy difference between wild Arachis species and cultivated genotypes hinder transfer of useful alleles for agronomically important traits. To overcome this genetic barrier, two synthetic tetraploids, viz., ISATGR 1212 (A. duranensis ICG 8123 × A. ipaensis ICG 8206) and ISATGR 265-5A (A. kempff-mercadoi ICG 8164 × A. hoehnei ICG 8190), were used to generate two advanced backcross (AB) populations. The AB-populations, namely, AB-pop1 (ICGV 91114 × ISATGR 1212) and AB-pop2, (ICGV 87846 × ISATGR 265-5A) were genotyped with DArT and SSR markers. Genetic maps were constructed for AB-pop1 and AB-pop2 populations with 258 loci (1415.7 cM map length and map density of 5.5 cM/loci) and 1043 loci (1500.8 cM map length with map density of 1.4 cM/loci), respectively. Genetic analysis identified large number of wild segments in the population and provided a good source of diversity in these populations. Phenotyping of these two populations identified several introgression lines with good agronomic, oil quality, and disease resistance traits. Quantitative trait locus (QTL) analysis showed that the wild genomic segments contributed favourable alleles for foliar disease resistance while cultivated genomic segments mostly contributed favourable alleles for oil quality and yield component traits. These populations, after achieving higher stability, will be useful resource for genetic mapping and QTL discovery for wild species segments in addition to using population progenies in breeding program for diversifying the gene pool of cultivated groundnut.
Collapse
Affiliation(s)
- Pawan Khera
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Nalini Mallikarjuna
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manda Sriswathi
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish Roorkiwal
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Pasupuleti Janila
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Shivali Sharma
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Krishna Shilpa
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Harikishan Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Baozhu Guo
- Crop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, USA
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
| |
Collapse
|
34
|
Xie S, Wu Y, Hao H, Li J, Guo S, Xie W, Li D, Zhou J, Gao J, Liu M. CYLD deficiency promotes pancreatic cancer development by causing mitotic defects. J Cell Physiol 2018; 234:9723-9732. [PMID: 30362575 DOI: 10.1002/jcp.27658] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 10/02/2018] [Indexed: 12/22/2022]
Abstract
Successful treatment of pancreatic cancer, which has the highest mortality rate among all types of malignancies, has challenged oncologists for decades, and early detection would undoubtedly increase favorable patient outcomes. The identification of proteins involved in pancreatic cancer progression could lead to biomarkers for early detection of this disease. This study identifies one potential candidate, cylindromatosis (CYLD), a deubiquitinase and microtubule-binding protein that plays a suppressive role in pancreatic cancer development. In pancreatic cancer samples, downregulation of CYLD expression resulted from a loss in the copy number of the CYLD gene; additionally, reduced expression of CYLD negatively correlated with the clinicopathological parameters. Further study demonstrated that CYLD deficiency promoted colony formation in vitro and pancreatic cancer growth in vivo. Mechanistic studies revealed that CYLD is essential for spindle orientation and properly oriented cell division; CYLD deficiency resulted in a substantial increase in chromosome missegregation. Taken together, these data indicate a critical role for CYLD in suppressing pancreatic tumorigenesis, implicating its potential as a biomarker for early detection of pancreatic cancer and a prognostic indicator of patient outcomes.
Collapse
Affiliation(s)
- Songbo Xie
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China
| | - Yuhan Wu
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China
| | - Huijie Hao
- State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials of the Ministry of Education, Tianjin Key Laboratory of Protein Science, College of Life Sciences, Nankai University, Tianjin, China
| | - Jingrui Li
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China
| | - Song Guo
- State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials of the Ministry of Education, Tianjin Key Laboratory of Protein Science, College of Life Sciences, Nankai University, Tianjin, China
| | - Wei Xie
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China
| | - Dengwen Li
- State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials of the Ministry of Education, Tianjin Key Laboratory of Protein Science, College of Life Sciences, Nankai University, Tianjin, China
| | - Jun Zhou
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China.,State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials of the Ministry of Education, Tianjin Key Laboratory of Protein Science, College of Life Sciences, Nankai University, Tianjin, China
| | - Jinmin Gao
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China
| | - Min Liu
- College of Life Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Normal University, Jinan, Shandong, China
| |
Collapse
|
35
|
Du P, Li L, Liu H, Fu L, Qin L, Zhang Z, Cui C, Sun Z, Han S, Xu J, Dai X, Huang B, Dong W, Tang F, Zhuang L, Han Y, Qi Z, Zhang X. High-resolution chromosome painting with repetitive and single-copy oligonucleotides in Arachis species identifies structural rearrangements and genome differentiation. BMC PLANT BIOLOGY 2018; 18:240. [PMID: 30333010 PMCID: PMC6192370 DOI: 10.1186/s12870-018-1468-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 10/03/2018] [Indexed: 05/25/2023]
Abstract
BACKGROUND Arachis contains 80 species that carry many beneficial genes that can be utilized in the genetic improvement of peanut (Arachis hypogaea L. 2n = 4x = 40, genome AABB). Chromosome engineering is a powerful technique by which these genes can be transferred and utilized in cultivated peanut. However, their small chromosomes and insufficient cytological markers have made chromosome identification and studies relating to genome evolution quite difficult. The development of efficient cytological markers or probes is very necessary for both chromosome engineering and genome discrimination in cultivated peanut. RESULTS A simple and efficient oligonucleotide multiplex probe to distinguish genomes, chromosomes, and chromosomal aberrations of peanut was developed based on eight single-stranded oligonucleotides (SSONs) derived from repetitive sequences. High-resolution karyotypes of 16 Arachis species, two interspecific F1 hybrids, and one radiation-induced M1 plant were then developed by fluorescence in situ hybridization (FISH) using oligonucleotide multiplex, 45S and 5S rDNAs, and genomic in situ hybridization (GISH) using total genomic DNA of A. duranensis (2n = 2x = 20, AA) and A. ipaënsis (2n = 2x = 20, BB) as probes. Genomes, chromosomes, and aberrations were clearly identifiable in the established karyotypes. All eight cultivars had similar karyotypes, whereas the eight wild species exhibited various chromosomal variations. In addition, a chromosome-specific SSON library was developed based on the single-copy sequence of chromosome 6A of A. duranensis. In combination with repetitive SSONs and rDNA FISH, the single-copy SSON library was applied to identify the corresponding A3 chromosome in the A. duranensis karyotype. CONCLUSIONS The development of repetitive and single-copy SSON probes for FISH and GISH provides useful tools for the differentiation of chromosomes and identification of structural chromosomal rearrangement. It facilitates the development of high-resolution karyotypes and detection of chromosomal variations in Arachis species. To our knowledge, the methodology presented in this study demonstrates for the first time the correlation between a sequenced chromosome region and a cytologically identified chromosome in peanut.
Collapse
Affiliation(s)
- Pei Du
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Lina Li
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Hua Liu
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Liuyang Fu
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Li Qin
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Zhongxin Zhang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Caihong Cui
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Ziqi Sun
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Suoyi Han
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Jing Xu
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Xiaodong Dai
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Bingyan Huang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Wenzhao Dong
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Fengshou Tang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China
| | - Lifang Zhuang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yonghua Han
- Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, 221116, China
| | - Zengjun Qi
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Xinyou Zhang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, Henan, China.
| |
Collapse
|
36
|
Jia M, Li S, Zang L, Lu X, Zhang H. Analysis of Biomolecules Based on the Surface Enhanced Raman Spectroscopy. NANOMATERIALS (BASEL, SWITZERLAND) 2018; 8:E730. [PMID: 30223597 PMCID: PMC6165412 DOI: 10.3390/nano8090730] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 09/10/2018] [Accepted: 09/14/2018] [Indexed: 12/24/2022]
Abstract
Analyzing biomolecules is essential for disease diagnostics, food safety inspection, environmental monitoring and pharmaceutical development. Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for detecting biomolecules due to its high sensitivity, rapidness and specificity in identifying molecular structures. This review focuses on the SERS analysis of biomolecules originated from humans, animals, plants and microorganisms, combined with nanomaterials as SERS substrates and nanotags. Recent advances in SERS detection of target molecules were summarized with different detection strategies including label-free and label-mediated types. This comprehensive and critical summary of SERS analysis of biomolecules might help researchers from different scientific backgrounds spark new ideas and proposals.
Collapse
Affiliation(s)
- Min Jia
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan 250014, China.
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University (BTBU), Beijing 100048, China.
| | - Shenmiao Li
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
| | - Liguo Zang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan 250014, China.
| | - Xiaonan Lu
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
| | - Hongyan Zhang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan 250014, China.
| |
Collapse
|
37
|
Liu M, Ran J, Zhou J. Non-canonical functions of the mitotic kinesin Eg5. Thorac Cancer 2018; 9:904-910. [PMID: 29927078 PMCID: PMC6068462 DOI: 10.1111/1759-7714.12792] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 05/24/2018] [Accepted: 05/24/2018] [Indexed: 01/25/2023] Open
Abstract
Kinesins are widely expressed, microtubule-dependent motors that play vital roles in microtubule-associated cellular activities, such as cell division and intracellular transport. Eg5, also known as kinesin-5 or kinesin spindle protein, is a member of the kinesin family that contributes to the formation and maintenance of the bipolar mitotic spindle during cell division. Small-molecule compounds that inhibit Eg5 activity have been shown to impair spindle assembly, block mitotic progression, and possess anti-cancer activity. Recent studies focusing on the localization and functions of Eg5 in plants have demonstrated that in addition to spindle organization, this motor protein has non-canonical functions, such as chromosome segregation and cytokinesis, that have not been observed in animals. In this review, we discuss the structure, function, and localization of Eg5 in various organisms, highlighting the specific role of this protein in plants. We also propose directions for the future studies of novel Eg5 functions based on the lessons learned from plants.
Collapse
Affiliation(s)
- Min Liu
- College of Life Sciences, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Provincial Key Laboratory of Animal Resistance BiologyShandong Normal UniversityJinanChina
| | - Jie Ran
- College of Life Sciences, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Provincial Key Laboratory of Animal Resistance BiologyShandong Normal UniversityJinanChina
| | - Jun Zhou
- College of Life Sciences, Collaborative Innovation Center of Cell Biology in Universities of Shandong, Institute of Biomedical Sciences, Shandong Provincial Key Laboratory of Animal Resistance BiologyShandong Normal UniversityJinanChina
| |
Collapse
|
38
|
Identification of the Candidate Proteins Related to Oleic Acid Accumulation during Peanut ( Arachis hypogaea L.) Seed Development through Comparative Proteome Analysis. Int J Mol Sci 2018; 19:ijms19041235. [PMID: 29670063 PMCID: PMC5979506 DOI: 10.3390/ijms19041235] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 04/10/2018] [Accepted: 04/11/2018] [Indexed: 01/14/2023] Open
Abstract
Peanuts (Arachis hypogaea L.) are an important oilseed crop, containing high contents of protein and fatty acids (FA). The major components of FA found in peanut oil are unsaturated FAs, including oleic acid (OA, C18:1) and linoleic acid (LOA, C18:2). Moreover, the high content of OA in peanut oil is beneficial for human health and long-term storage due to its antioxidant activity. However, the dynamic changes in proteomics related to OA accumulation during seed development still remain largely unexplored. In the present study, a comparative proteome analysis based on iTRAQ (isobaric Tags for Relative and Absolute Quantification) was performed to identify the critical candidate factors involved in OA formation. A total of 389 differentially expressed proteins (DEPs) were identified between high-oleate cultivar Kainong176 and low-oleate cultivar Kainong70. Among these DEPs, 201 and 188 proteins were upregulated and downregulated, respectively. In addition, these DEPs were categorized into biosynthesis pathways of unsaturated FAs at the early stage during the high-oleic peanut seed development, and several DEPs involved in lipid oxidation pathway were found at the stage of seed maturation. Meanwhile, 28 DEPs were sporadically distributed in distinct stages of seed formation, and their molecular functions were directly correlated to FA biosynthesis and degradation. Fortunately, the expression of FAB2 (stearoyl-acyl carrier protein desaturase), the rate-limiting enzyme in the upstream biosynthesis process of OA, was significantly increased in the early stage and then decreased in the late stage of seed development in the high-oleate cultivar Kainong176. Furthermore, real-time PCR verified the expression pattern of FAB2 at the mRNA level, which was consistent with its protein abundance. However, opposite results were found for the low-oleate cultivar Kainong70. Overall, the comparative proteome analysis provided valuable insight into the molecular dynamics of OA accumulation during peanut seed development.
Collapse
|
39
|
Classical and Molecular Approaches for Mapping of Genes and Quantitative Trait Loci in Peanut. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/978-3-319-63935-2_7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
|