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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.
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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
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Choi YJ, Yi J, Lee CJ, Kim JW, Jeon MJ, Park JS, Cho SJ. Development of markers using microsatellite loci of two rove beetle species, Paederus fuscipes Curtis and Aleochara (Aleochara) curtula Goeze (Coleoptera: Staphylinidae), followed by analyses of genetic diversity and population structure. Genes Genomics 2022; 44:1471-1476. [PMID: 35982374 DOI: 10.1007/s13258-022-01293-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/18/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND The family Staphylinidae is the most speciose beetle group in the world. The outbreaks of two staphylinid species, Paederus fuscipes and Aleochara (Aleochara) curtula, were recently reported in South Korea. None of research about molecular markers and genetic diversity have been conducted in these two species. OBJECTIVE To develop microsatellite markers and analyze the genetic diversity and population structures of two rove beetle species. METHODS NGS was used to sequence whole genomes of two species, Paederus fuscipes and Aleochara (Aleochara) curtula. Microsatellite loci were selected with flanking primer sequences. Specimens of P. fuscipes and A. curtula were collected from three localities, respectively. Genetic diversity and population structure were analyzed using the newly developed microsatellite markers. RESULTS The number of alleles ranged 5.727-6.636 (average 6.242) and 2.182-5.364 (average 4.091), expected heterozygosity ranged 0.560-0.582 (average 0.570) and 0.368-0.564 (average 0.498), observed heterozygosity ranged 0.458-0.497 (average 0.472) and 0.418-0.644 (average 0.537) in P. fuscipes and A. curtula, respectively. Population structure indicates that individuals of A. curtula are clustered to groups where they were collected, but those of P. fuscipes are not. CONCLUSION Population structures of P. fuscipes were shallow. In A. curtula, however, it was apparent that the genetic compositions of the populations are different significantly depending on collection localities.
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Affiliation(s)
- Yeon-Jae Choi
- Department of Biological Sciences and Biotechnology, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Jeesoo Yi
- Department of Biological Sciences and Biotechnology, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Chan-Jun Lee
- Department of Biological Sciences and Biotechnology, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Ji-Wook Kim
- Department of Biological Sciences and Biotechnology, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Mi-Jeong Jeon
- National Institute of Biological Resources, Environmental Research Complex, Incheon, 22689, Republic of Korea
| | - Jong-Seok Park
- Department of Biological Sciences and Biotechnology, Chungbuk National University, Cheongju, 28644, Republic of Korea.
| | - Sung-Jin Cho
- Department of Biological Sciences and Biotechnology, Chungbuk National University, Cheongju, 28644, Republic of Korea.
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Zhong S, Chen W, Yang H, Shen J, Ren T, Li Z, Tan F, Luo P. Characterization of Microsatellites in the Akebia trifoliata Genome and Their Transferability and Development of a Whole Set of Effective, Polymorphic, and Physically Mapped Simple Sequence Repeat Markers. FRONTIERS IN PLANT SCIENCE 2022; 13:860101. [PMID: 35371184 PMCID: PMC8971770 DOI: 10.3389/fpls.2022.860101] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 02/24/2022] [Indexed: 06/14/2023]
Abstract
Akebia trifoliata is a perennial climbing woody liana plant with a high potential for commercial exploitation and theoretical research. Similarly, microsatellites (simple sequence repeats, SSRs) also have dual roles: as critical markers and as essential elements of the eukaryotic genome. To characterize the profile of SSRs and develop molecular markers, the high-quality assembled genome of A. trifoliata was used. Additionally, to determine the potential transferability of SSR loci, the genomes of Amborella trichopoda, Oryza sativa, Vitis vinifera, Arabidopsis thaliana, Papaver somniferum, and Aquilegia coerulea were also used. We identified 434,293 SSRs with abundant short repeats, such as 290,868 (66.98%) single-nucleotide repeats (SNRs) and 113,299 (26.09%) dinucleotide repeats (DNRs) in the A. trifoliata genome. 398,728 (91.81%) SSRs on 344,283 loci were physically mapped on the chromosomes, and a positive correlation (r = 0.98) was found between the number of SSRs and chromosomal length. Additionally, 342,916 (99.60%) potential SSR markers could be designed from the 344,283 physically mapped loci, while only 36,160 could be viewed as high-polymorphism-potential (HPP) markers, findings that were validated by PCR. Finally, SSR loci exhibited broad potential transferability, particularly DNRs such as the "AT/AT" and "AG/CT" loci, among all angiosperms, a finding that was not related to the genetic divergence distance. Practically, we developed a whole set of effective, polymorphic, and physically anchored molecular markers and found that, evolutionarily, DNRs could be responsible for microsatellite origin and protecting gene function.
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Affiliation(s)
- Shengfu Zhong
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Wei Chen
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Huai Yang
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Jinliang Shen
- College of Forestry, Sichuan Agricultural University, Chengdu, China
| | - Tianheng Ren
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Zhi Li
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Feiquan Tan
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Peigao Luo
- Provincial Key Laboratory for Plant Genetics and Breeding, College of Agronomy, Sichuan Agricultural University, Chengdu, China
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Mathiazhagan M, Chidambara B, Hunashikatti LR, Ravishankar KV. Genomic Approaches for Improvement of Tropical Fruits: Fruit Quality, Shelf Life and Nutrient Content. Genes (Basel) 2021; 12:1881. [PMID: 34946829 PMCID: PMC8701245 DOI: 10.3390/genes12121881] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/23/2021] [Accepted: 11/16/2021] [Indexed: 12/17/2022] Open
Abstract
The breeding of tropical fruit trees for improving fruit traits is complicated, due to the long juvenile phase, generation cycle, parthenocarpy, polyploidy, polyembryony, heterozygosity and biotic and abiotic factors, as well as a lack of good genomic resources. Many molecular techniques have recently evolved to assist and hasten conventional breeding efforts. Molecular markers linked to fruit development and fruit quality traits such as fruit shape, size, texture, aroma, peel and pulp colour were identified in tropical fruit crops, facilitating Marker-assisted breeding (MAB). An increase in the availability of genome sequences of tropical fruits further aided in the discovery of SNP variants/Indels, QTLs and genes that can ascertain the genetic determinants of fruit characters. Through multi-omics approaches such as genomics, transcriptomics, metabolomics and proteomics, the identification and quantification of transcripts, including non-coding RNAs, involved in sugar metabolism, fruit development and ripening, shelf life, and the biotic and abiotic stress that impacts fruit quality were made possible. Utilizing genomic assisted breeding methods such as genome wide association (GWAS), genomic selection (GS) and genetic modifications using CRISPR/Cas9 and transgenics has paved the way to studying gene function and developing cultivars with desirable fruit traits by overcoming long breeding cycles. Such comprehensive multi-omics approaches related to fruit characters in tropical fruits and their applications in breeding strategies and crop improvement are reviewed, discussed and presented here.
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Affiliation(s)
| | | | | | - Kundapura V. Ravishankar
- Division of Basic Sciences, ICAR Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru 560089, India; (M.M.); (B.C.); (L.R.H.)
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Malhotra EV, Jain R, Bansal S, Mali SC, Sharma N, Agrawal A. Development of a new set of genic SSR markers in the genus Gentiana: in silico mining, characterization and validation. 3 Biotech 2021; 11:430. [PMID: 34527507 DOI: 10.1007/s13205-021-02969-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/19/2021] [Indexed: 11/26/2022] Open
Abstract
Gentiana is an important genus of around 360 medicinally important species, majority of which are not well characterized. Despite its importance, very few genomic resources are available for Gentiana L. Till date, the number of informative and robust simple sequence repeat (SSR)-based markers is limited and very few efforts have been made for their development. A set of robust, freely accessible and informative SSR markers for Gentiana is a pre-requisite for any molecular systematic as well as improvement studies in this group of pharmacologically valuable plants. In view of the importance of these plants, Expressed Sequence Tag (EST) sequences of 18 Gentiana species were surveyed for the development of a large set of non-redundant SSR markers. A total of 5808 perfect SSR with an average length of 17 bp and relative abundance of 214 loci/Mb were identified in the analysed 47,487 EST sequences using Krait software. Mapping of the ESTs resulted in gene ontology annotations of 49.14% of the sequences. Based on these perfect SSRs, 2902 primer pairs were designed, and 60 markers were randomly selected and validated on a set of Gentiana kurroo Royle accessions. Among the screened markers, 39 (65%) were found to be cross-species transferable. This is the first report of the largest set of functional, novel genic SSR markers in Gentiana, which will be a valuable resource for future characterization, genotype identification, conservation and genomic studies in the various species of this group of important medicinal plants. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s13205-021-02969-4.
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Affiliation(s)
- Era Vaidya Malhotra
- Tissue Culture and Cryopreservation Unit, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Rishu Jain
- Tissue Culture and Cryopreservation Unit, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sangita Bansal
- Tissue Culture and Cryopreservation Unit, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Suresh Chand Mali
- Tissue Culture and Cryopreservation Unit, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Neelam Sharma
- Tissue Culture and Cryopreservation Unit, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Anuradha Agrawal
- Tissue Culture and Cryopreservation Unit, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
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Dabral A, Shamoon A, Meena RK, Kant R, Pandey S, Ginwal HS, Bhandari MS. Genome skimming-based simple sequence repeat (SSR) marker discovery and characterization in Grevillea robusta. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2021; 27:1623-1638. [PMID: 34305342 PMCID: PMC8285676 DOI: 10.1007/s12298-021-01035-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
Proteaceae, a largely southern hemisphere family consisting of 80 genera distributed in Australia and southern Africa as its centres of greatest diversity, also extends well in northern and southern America. Under this family, Grevillea robusta is a fast-growing species got popularity in farm and avenue plantations. Despite the ecological and economic importance, the species has not yet been investigated for its genetic improvement and genome-based studies. Only a few molecular markers are available for the species or its close relatives, which hinders genomic and population genetics studies. Genetic markers have been intensively applied for the main strategies in breeding programs, especially for the economically important traits. Hence, it is of utmost priority to develop genomic database resources and species-specific markers for studying quantitative genetics in G. robusta. Given this, the present study aimed to develop de novo genome sequencing, robust microsatellites markers, sequence annotation and their validation in different stands of G. robusta in northern India. Library preparation and sequencing were carried out using Illumina paired-end sequencing technology. Approximately, ten gigabases (Gb) sequence data with 70.87 million raw reads assembled into 425,923 contigs (read mapped to 76.48%) comprising 455 Mb genome size (23 × coverage) generated through genome skimming approach. In total, 9421 simple sequence repeat (SSR) primer pairs were successfully designed from 13,335 microsatellite repeats. Afterward, a subset of 161 primer pairs was randomly selected, synthesized and validated. All the tested primers showed successful amplification but only 13 showed polymorphisms. The polymorphic SSRs were further used to estimate the measures of genetic diversity in 12 genotypes each from the states of Punjab, Haryana, Himachal Pradesh and Uttarakhand. Importantly, the average number of alleles (Na), observed heterozygosity (Ho), expected heterozygosity (He), and the polymorphism information content (PIC) were recorded as 2.69, 0.356, 0.557 and 0.388, respectively. The availability of sequence information and newly developed SSR markers could potentially be used in various genetic analyses and improvements through molecular breeding strategies for G. robusta. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12298-021-01035-w.
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Affiliation(s)
- Aman Dabral
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Arzoo Shamoon
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Rajendra K. Meena
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Rama Kant
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Shailesh Pandey
- Forest Pathology Discipline, Division of Forest Protection, Forest Research Institute, Dehradun, Uttarakhand 248 006 India
| | - Harish S. Ginwal
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Maneesh S. Bhandari
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
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