1
|
Geethanjali S, Kadirvel P, Anumalla M, Hemanth Sadhana N, Annamalai A, Ali J. Streamlining of Simple Sequence Repeat Data Mining Methodologies and Pipelines for Crop Scanning. PLANTS (BASEL, SWITZERLAND) 2024; 13:2619. [PMID: 39339594 PMCID: PMC11435353 DOI: 10.3390/plants13182619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 08/18/2024] [Accepted: 08/29/2024] [Indexed: 09/30/2024]
Abstract
Genetic markers are powerful tools for understanding genetic diversity and the molecular basis of traits, ushering in a new era of molecular breeding in crops. Over the past 50 years, DNA markers have rapidly changed, moving from hybridization-based and second-generation-based to sequence-based markers. Simple sequence repeats (SSRs) are the ideal markers in plant breeding, and they have numerous desirable properties, including their repeatability, codominance, multi-allelic nature, and locus specificity. They can be generated from any species, which requires prior sequence knowledge. SSRs may serve as evolutionary tuning knobs, allowing for rapid identification and adaptation to new circumstances. The evaluations published thus far have mostly ignored SSR polymorphism and gene evolution due to a lack of data regarding the precise placements of SSRs on chromosomes. However, NGS technologies have made it possible to produce high-throughput SSRs for any species using massive volumes of genomic sequence data that can be generated fast and at a minimal cost. Though SNP markers are gradually replacing the erstwhile DNA marker systems, SSRs remain the markers of choice in orphan crops due to the lack of genomic resources at the reference level and their adaptability to resource-limited labor. Several bioinformatic approaches and tools have evolved to handle genomic sequences to identify SSRs and generate primers for genotyping applications in plant breeding projects. This paper includes the currently available methodologies for producing SSR markers, genomic resource databases, and computational tools/pipelines for SSR data mining and primer generation. This review aims to provide a 'one-stop shop' of information to help each new user carefully select tools for identifying and utilizing SSRs in genetic research and breeding programs.
Collapse
Affiliation(s)
- Subramaniam Geethanjali
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore 641003, India
| | - Palchamy Kadirvel
- Crop Improvement Section, ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad 500030, India
| | - Mahender Anumalla
- Rice Breeding Innovation Platform, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines
- IRRI South Asia Hub, Patancheru, Hyderabad 502324, India
| | - Nithyananth Hemanth Sadhana
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore 641003, India
| | - Anandan Annamalai
- Indian Council of Agricultural Research (ICAR), Indian Institute of Seed Science, Bengaluru 560065, India
| | - Jauhar Ali
- Rice Breeding Innovation Platform, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines
| |
Collapse
|
2
|
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
|
3
|
Feng Y, Zheng K, Lin X, Huang J. Plant growth, physiological variation and homological relationship of Cyclocarya species in ex situ conservation. CONSERVATION PHYSIOLOGY 2022; 10:coac016. [PMID: 35539008 PMCID: PMC9082347 DOI: 10.1093/conphys/coac016] [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: 06/25/2021] [Revised: 11/25/2021] [Accepted: 03/22/2022] [Indexed: 06/14/2023]
Abstract
Natural forests of Cyclocarya paliurus have been seriously damaged because of the extreme demand for leaf medicinal uses, making conservation of this valuable, medicinal woody species necessary. Because of geographical differentiation and diverse adaptability, in this study we analysed the variations in plant growth and physiological response to environmental factors at a resource plantation of ex situ conservation and determined the homological relationships between local provenance (from Fujian Province, FJ) and introduced provenances showing high-survival rate and better growth (from Zhejiang, Hubei, Guizhou and Jiangxi Province). Our results suggested the following: (i) Plant growth: FJ had the highest plant height but not the largest basal diameter in comparison to that of other provenances. (ii) Physiological responses during the growth periods: water content in leaf of FJ had similar change with that of other provenances, except for the provenance from Guizhou Province; total soluble sugar content in leaf of FJ was more than that of other provenances; calcium content in leaf of all provenances was higher as compared to K, Mg and Na; the highest activity among four kinds of antioxidant enzymes in all provenances was superoxide dismutase, then was polyphenol oxidase and peroxidase, finally was catalase; and total flavonoid among three kinds of secondary metabolites in all provenances showed the greatest content, followed by polysaccharides and total triterpenoid. (iii) Relation analysis: plant growth and physiological responses related with environmental factors, especially temperature and precipitation. (iv) Homological relationships: leaf characteristics among six provenances varied in colour, area and common petiole length, but not the shape of leaf base or apex. Cyclocarya paliurus distributed in Fujian Province showed a very close homological relationship with that distributed in Zhejiang Province by simple sequence repeat. These findings will provide knowledge on physiological response to environmental factors and aid to select suitable provenances for Cyclocarya cultivation.
Collapse
Affiliation(s)
| | - Kailing Zheng
- Quanzhou Institute of Agricultural Science, Chidian Town, Jinjiang City, Fujian Province, 362000, China
| | - Xiulian Lin
- Horticulture Department, Huizhou Engineering Vocational College, Xiaojinkou Street, Guangdong Province, 561023, China
| | - Junpo Huang
- School of Resource and Environmental Science, Quanzhou Normal University, Donghai Street, Quanzhou City, Fujian Province, 362000, China
| |
Collapse
|
4
|
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
|
5
|
Genome-wide simple sequence repeats (SSR) markers discovered from whole-genome sequence comparisons of multiple spinach accessions. Sci Rep 2021; 11:9999. [PMID: 33976335 PMCID: PMC8113571 DOI: 10.1038/s41598-021-89473-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 04/13/2021] [Indexed: 02/03/2023] Open
Abstract
The availability of well-assembled genome sequences and reduced sequencing costs have enabled the resequencing of many additional accessions in several crops, thus facilitating the rapid discovery and development of simple sequence repeat (SSR) markers. Although the genome sequence of inbred spinach line Sp75 is available, previous efforts have resulted in a limited number of useful SSR markers. Identification of additional polymorphic SSR markers will support genetics and breeding research in spinach. This study aimed to use the available genomic resources to mine and catalog a large number of polymorphic SSR markers. A search for SSR loci on six chromosome sequences of spinach line Sp75 using GMATA identified a total of 42,155 loci with repeat motifs of two to six nucleotides in the Sp75 reference genome. Whole-genome sequences (30x) of additional 21 accessions were aligned against the chromosome sequences of the reference genome and in silico genotyped using the HipSTR program by comparing and counting repeat numbers variation across the SSR loci among the accessions. The HipSTR program generated SSR genotype data were filtered for monomorphic and high missing loci, and a final set of the 5986 polymorphic SSR loci were identified. The polymorphic SSR loci were present at a density of 12.9 SSRs/Mb and were physically mapped. Out of 36 randomly selected SSR loci for validation, two failed to amplify, while the remaining were all polymorphic in a set of 48 spinach accessions from 34 countries. Genetic diversity analysis performed using the SSRs allele score data on the 48 spinach accessions showed three main population groups. This strategy to mine and develop polymorphic SSR markers by a comparative analysis of the genome sequences of multiple accessions and computational genotyping of the candidate SSR loci eliminates the need for laborious experimental screening. Our approach increased the efficiency of discovering a large set of novel polymorphic SSR markers, as demonstrated in this report.
Collapse
|
6
|
Bhattarai G, Shi A, Kandel DR, Solís-Gracia N, da Silva JA, Avila CA. Genome-wide simple sequence repeats (SSR) markers discovered from whole-genome sequence comparisons of multiple spinach accessions. Sci Rep 2021. [PMID: 33976335 DOI: 10.1038/s41598-021-89472-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023] Open
Abstract
The availability of well-assembled genome sequences and reduced sequencing costs have enabled the resequencing of many additional accessions in several crops, thus facilitating the rapid discovery and development of simple sequence repeat (SSR) markers. Although the genome sequence of inbred spinach line Sp75 is available, previous efforts have resulted in a limited number of useful SSR markers. Identification of additional polymorphic SSR markers will support genetics and breeding research in spinach. This study aimed to use the available genomic resources to mine and catalog a large number of polymorphic SSR markers. A search for SSR loci on six chromosome sequences of spinach line Sp75 using GMATA identified a total of 42,155 loci with repeat motifs of two to six nucleotides in the Sp75 reference genome. Whole-genome sequences (30x) of additional 21 accessions were aligned against the chromosome sequences of the reference genome and in silico genotyped using the HipSTR program by comparing and counting repeat numbers variation across the SSR loci among the accessions. The HipSTR program generated SSR genotype data were filtered for monomorphic and high missing loci, and a final set of the 5986 polymorphic SSR loci were identified. The polymorphic SSR loci were present at a density of 12.9 SSRs/Mb and were physically mapped. Out of 36 randomly selected SSR loci for validation, two failed to amplify, while the remaining were all polymorphic in a set of 48 spinach accessions from 34 countries. Genetic diversity analysis performed using the SSRs allele score data on the 48 spinach accessions showed three main population groups. This strategy to mine and develop polymorphic SSR markers by a comparative analysis of the genome sequences of multiple accessions and computational genotyping of the candidate SSR loci eliminates the need for laborious experimental screening. Our approach increased the efficiency of discovering a large set of novel polymorphic SSR markers, as demonstrated in this report.
Collapse
Affiliation(s)
- Gehendra Bhattarai
- Department of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Ainong Shi
- Department of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.
| | - Devi R Kandel
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, 78596, USA
| | - Nora Solís-Gracia
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, 78596, USA
| | - Jorge Alberto da Silva
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, 78596, USA
- Department of Crop and Soil Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Carlos A Avila
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, 78596, USA.
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA.
| |
Collapse
|
7
|
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
|
8
|
Zou X, Huang X, Zhang L, Gao QH. Characterization of Est-SSR markers related to Colletotrichum fructicola infection in strawberry (Fragaria ×ananassa Duchase). BIOTECHNOL BIOTEC EQ 2020. [DOI: 10.1080/13102818.2020.1797530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Affiliation(s)
- Xiaohua Zou
- Shanghai Key Laboratory of Protected Horticultural Technology, Forestry and Fruit Tree Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, PR China
| | - Xilun Huang
- Shanghai Key Laboratory of Protected Horticultural Technology, Forestry and Fruit Tree Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, PR China
| | - Liqing Zhang
- Shanghai Key Laboratory of Protected Horticultural Technology, Forestry and Fruit Tree Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, PR China
| | - Qing-Hua Gao
- Shanghai Key Laboratory of Protected Horticultural Technology, Forestry and Fruit Tree Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, PR China
| |
Collapse
|