Epigenetic diversity of Saccharum spp. accessions assessed by methylation-sensitive amplification polymorphism (MSAP)
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The epigenetic diversity of six genotype groups (commercial cultivars, S. officinarum, S. spontaneum, S. robustum, S. barberi, and Erianthus sp.) was assessed through methylation-sensitive amplification polymorphism (MSAP). A total of 1341 MSAP loci were analyzed, of which 1117 (83.29%) were susceptible to cytosine methylation and responsible for a higher proportion of overall diversity among genotypes. The MSAP selective primer combinations captured different proportions of internal and external cytosine methylation loci across genotype groups, while the average external cytosine frequency was higher for all genotype groups. The genotypes were divided into two subpopulations with a high differentiation index (φ st = 0.086) based on epigenetic loci. The genotypes were clustered in three subgroups for both methylated and unmethylated loci, considering dissimilarity values. Four methylated fragments (MFs) were randomly selected and subsequently sequenced and compared with sugarcane public databases using BLASTN. MF alignments suggest that cytosine methylation occurs in sugarcane near CpG islands and tandem repeats within transcribed regions and putative cis-regulatory sequences, which assigned functions are associated with stress adaptation. These results provide the first insights about the distribution of this epigenetic mark in sugarcane genome, and suggest a biological relevance of methylated loci.
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In six sugarcane genotype groups, MSAP analysis of 1341 loci showed 83.29% cytosine methylation, contributing significantly to overall genetic diversity.
“A total of 1341 MSAP loci were analyzed, with 83.29% showing cytosine methylation, contributing significantly to overall genetic diversity.”
From Somaclonal Variation and Clonal Fidelity in Commercial Micropropagation: Challenges and Perspectives (2025) · cites this paper as [146]
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Experimental — accuracy not yet measuredSugarcane genotypes were divided into two subpopulations with high differentiation, and methylated fragments were found near CpG islands and regulatory sequences, suggesting their role in stress adaptation.
“The genotypes were divided into two subpopulations with high differentiation, and methylated fragments were found near CpG islands and regulatory sequences, suggesting their role in stress adaptation [146].”
From Somaclonal Variation and Clonal Fidelity in Commercial Micropropagation: Challenges and Perspectives (2025) · cites this paper as [146]
The Abstract reports two subpopulations and links methylated fragments near CpG islands and putative cis-regulatory sequences to functions associated with stress adaptation. It calls the differentiation index high, but the Structure analysis and Discussion describe the measured 8.6% differentiation as moderate, so the claim overstates the degree of differentiation. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIn Saccharum spp., variation was observed.
“Variation observed”
From Somaclonal Variation and Clonal Fidelity in Commercial Micropropagation: Challenges and Perspectives (2025) · cites this paper as [146]
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
Saitou, N., & Nei, M. (1987) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040454 · Cited by 59,962 · see citing works
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871 · see citing works
Detecting the number of clusters of individuals using the software structure: a simulation study
Evanno, G., Regnaut, S., & Goudet, J. (2005) · Molecular Ecology · doi:10.1111/j.1365-294x.2005.02553.x · Cited by 21,540 · see citing works
Excoffier, L., & Lischer, H. E. L. (2010) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02847.x · Cited by 16,266 · see citing works
AFLP: a new technique for DNA fingerprinting
Vos, P., Hogers, R. C. J., Bleeker, M., Reijans, M., van de Lee, T., Hornes, M., Frijters, A., Pot, J., Paleman, J., Kuiper, M. T. R., et al. (1995) · Nucleic Acids Research · doi:10.1093/nar/23.21.4407 · Cited by 12,433 · see citing works
Earl, D. A., & vonHoldt, B. M. (2011) · Conservation Genetics Resources · doi:10.1007/s12686-011-9548-7 · Cited by 12,389 · see citing works
The interplay between habitat availability and population differentiation
Verkuil, Y. I., Piersma, T., Jukema, J., Zwarts, L., Baker, A. J., & Hooijmeijer, J. C. E. W. (2012) · Biological Journal of the Linnean Society · Cited by 6,547 · see citing works
Function and information content of DNA methylation
Schübeler, D. (2015) · Nature · doi:10.1038/nature14192 · Cited by 2,060 · see citing works
Dynamics and function of DNA methylation in plants
Zhang, H., Lang, Z., & Zhu, J. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0016-z · Cited by 1,829 · see citing works
WD40 proteins propel cellular networks
Stirnimann, C. U., Petsalaki, E., Russell, R. B., & Müller, C. W. (2010) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2010.04.003 · Cited by 629 · see citing works
Plant Receptor-Like Serine Threonine Kinases: Roles in Signaling and Plant Defense
Afzal, A. J., Wood, A. J., & Lightfoot, D. A. (2008) · Molecular Plant-Microbe Interactions · doi:10.1094/mpmi-21-5-0507 · Cited by 613 · see citing works
Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.
Zhang, J.-S., Zhang, X.-T., Tang, H.-B., Zhang, Q., Hua, X.-T., Ma, X.-K., Zhu, F., Jones, T. C., Zhu, X.-G., Bowers, J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0237-2 · Cited by 596 · see citing works
Seo, J., Joo, J., Kim, M., Kim, Y.-K., Nahm, B. H., Song, S. I., Cheong, J., Lee, J. S., Kim, J., & Choi, Y. D. (2010) · The Plant Journal · doi:10.1111/j.1365-313x.2010.04477.x · Cited by 576 · see citing works
Loss of Karma transposon methylation underlies the mantled somaclonal variant of oil palm
Ong‐Abdullah, M., Ordway, J. M., Jiang, N., Ooi, S., Kok, S. Y., Sarpan, N., Nuraziyan, A., Hashim, A. T., Ishak, Z., Rosli, S. K., et al. (2015) · Nature · doi:10.1038/nature15365 · Cited by 523 · see citing works
Evolution and the Genetics of Populations. 4: Variability within and among natural populations
(1980) · Journal of Human Evolution · doi:10.1016/0047-2484(80)90079-2 · Cited by 459 · see citing works
A mosaic monoploid reference sequence for the highly complex genome of sugarcane
Garsmeur, O., Droc, G., Antonise, R., Grimwood, J., Potier, B., Aitken, K. S., Jenkins, J. W., Martin, G., Charron, C., Hervouet, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05051-5 · Cited by 453 · see citing works
DNA Methylation: A Profile of Methods and Applications
Fraga, M. F., & Esteller, M. (2002) · BioTechniques · doi:10.2144/02333rv01 · Cited by 408 · see citing works
(1987) · Developments in crop science · doi:10.1016/b978-0-444-42769-4.50007-2 · Cited by 357 · see citing works
X. (1914) · The American Naturalist · doi:10.1086/279413 · Cited by 341 · see citing works
CHH islands: de novo DNA methylation in near-gene chromatin regulation in maizePreprint
Gent, J. I., Ellis, N. A., Guo, L., Harkess, A., Yao, Y., Zhang, X., & Dawe, R. K. (2012) · Genome Research · doi:10.1101/gr.146985.112 · Cited by 329 · see citing works
Epigenetic Inheritance in Rice Plants
Akimoto, K., Katakami, H., Kim, H. J., Ogawa, E., Sano, C. M., Wada, Y., & Sano, H. (2007) · Annals of Botany · doi:10.1093/aob/mcm110 · Cited by 288 · see citing works
Saccharum species as horticultural classes
Irvine, J. E. (1999) · Theoretical and Applied Genetics · doi:10.1007/s001220051057 · Cited by 261 · see citing works
Exploiting induced and natural epigenetic variation for crop improvement
Springer, N. M., & Schmitz, R. J. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.45 · Cited by 248 · see citing works
Epigenetic and developmental regulation in plant polyploids
Song, Q., & Chen, Z. J. (2015) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2015.02.007 · Cited by 239 · see citing works
Epigenetic mechanisms of plant stress responses and adaptation
Sahu, P. P., Pandey, G., Sharma, N., Puranik, S., Muthamilarasan, M., & Prasad, M. (2013) · Plant Cell Reports · doi:10.1007/s00299-013-1462-x · Cited by 237 · see citing works
Computational Approaches to Identify Promoters and cis-Regulatory Elements in Plant Genomes
Rombauts, S., Florquin, K., Lescot, M., Kathleen Marchal, D., Rouzé, P., & de Peer, Y. V. (2003) · PLANT PHYSIOLOGY · doi:10.1104/pp.102.017715 · Cited by 205 · see citing works
Genetic and epigenetic regulation of stress responses in natural plant populations
Grativol, C., Hemerly, A. S., & Ferreira, P. C. G. (2011) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2011.08.010 · Cited by 182 · see citing works
Lima, M. L., Garcia, A. A. F., Oliveira, K. M., Matsuoka, S., Arizono, H., de Souza, C. L., & de Souza, A. P. (2002) · Theoretical and Applied Genetics · doi:10.1007/s001220200003 · Cited by 182 · see citing works
How to interpret Methylation Sensitive Amplified Polymorphism (MSAP) profiles?
Fulneček, J., & Kovařı́k, A. (2014) · BMC Genetics · doi:10.1186/1471-2156-15-2 · Cited by 175 · see citing works
Schulz, B., Eckstein, R. L., & Durka, W. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12100 · Cited by 163 · see citing works
Hofmeister, B. T., Lee, K. C., Rohr, N. A., Hall, D. W., & Schmitz, R. J. (2017) · Genome biology · doi:10.1186/s13059-017-1288-x · Cited by 145 · see citing works
msap : a tool for the statistical analysis of methylation‐sensitive amplified polymorphism data
Pérez‐Figueroa, A. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12064 · Cited by 141 · see citing works
Oligoclonal interspecific origin of ‘North Indian’ and ‘Chinese’ sugarcanes
D’Hont, A., Paulet, F., & Glaszmann, J. C. (2002) · Chromosome Research · doi:10.1023/a:1015204424287 · Cited by 104 · see citing works
Xu, W., Zhang, N., Jiao, Y., Li, R., Xiao, D., & Wang, Z. (2014) · Molecular Biology Reports · doi:10.1007/s11033-014-3404-2 · Cited by 96 · see citing works
Alonso, C., Pérez, R., Bazaga, P., Medrano, M., & Herrera, C. M. (2015) · Molecular Ecology Resources · doi:10.1111/1755-0998.12426 · Cited by 89 · see citing works
Gachomo, E. W., Jiménez-López, J. C., Baptiste, L. J., & Kotchoni, S. O. (2014) · BMC Plant Biology · doi:10.1186/1471-2229-14-37 · Cited by 80 · see citing works
Genetics, Genomics and Breeding of Sugarcane
(2010) · CRC Press eBooks · doi:10.1201/ebk1578086849 · Cited by 78 · see citing works
DNA Methylation within Transcribed Regions
To, T. K., Saze, H., & Kakutani, T. (2015) · PLANT PHYSIOLOGY · doi:10.1104/pp.15.00543 · Cited by 75 · see citing works
Ali, A., Pan, Y., Wang, Q., Wang, J., Chen, J.-L., & Gao, S. (2019) · Scientific Reports · doi:10.1038/s41598-018-36630-7 · Cited by 74 · see citing works
Nayak, S. N., Song, J., Villa, A., Pathak, B. P., Ayala‐Silva, T., Yang, X., Todd, J., Glynn, N. C., Kuhn, D. N., Glaz, B., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110856 · Cited by 69 · see citing works
Gene‐associated CpG islands in plants as revealed by analyses of genomic sequences
Ashikawa, I. (2001) · The Plant Journal · doi:10.1046/j.1365-313x.2001.01062.x · Cited by 68 · see citing works
Li, N., Xu, C., Zhang, A., Lv, R., Meng, X., Lin, X., Gong, L., Wendel, J. F., & Liu, B. (2019) · New Phytologist · doi:10.1111/nph.15820 · Cited by 66 · see citing works
Guarino, F., Cicatelli, A., Brundu, G., Heinze, B., & Castiglione, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131480 · Cited by 62 · see citing works
Aitken, K. S., Li, J.-C., Jackson, P., Piperidis, G., & McIntyre, C. L. (2006) · Australian Journal of Agricultural Research · doi:10.1071/ar05391 · Cited by 56 · see citing works
The Importance of the Wild Cane Saccharum spontaneum for Bioenergy Genetic Breeding
da Silva, J. A. (2017) · Sugar Tech · doi:10.1007/s12355-017-0510-1 · Cited by 55 · see citing works
Crop Epigenomics: Identifying, Unlocking, and Harnessing Cryptic Variation in Crop Genomes
Ji, L., Neumann, D. A., & Schmitz, R. J. (2015) · Molecular Plant · doi:10.1016/j.molp.2015.01.021 · Cited by 51 · see citing works
Brown, J. S., Schnell, R. J., Power, E. J., Douglas, S. L., & Kuhn, D. N. (2007) · Genetic Resources and Crop Evolution · doi:10.1007/s10722-006-0035-z · Cited by 45 · see citing works
GDdom: An Online Tool for Calculation of Dominant Marker Gene Diversity
Abuzayed, M., Abuzayed, N., Frary, A., & Doğanlar, S. (2016) · Biochemical Genetics · doi:10.1007/s10528-016-9779-0 · Cited by 43 · see citing works
Ku80 gene expression is Sp1-dependent and sensitive to CpG methylation within a novel cis element
Ludwig, D. L., Chen, F., Peterson, S., Nussenzweig, A., Li, G. C., & Chen, D. J. (1997) · Gene · doi:10.1016/s0378-1119(97)00366-1 · Cited by 41 · see citing works
Luu, P., Schöler, H. R., & Araúzo-Bravo, M. J. (2013) · Genome Research · doi:10.1101/gr.155960.113 · Cited by 33 · see citing works
Photosynthetic response to genome methylation affects the growth of Chinese white poplar
Ma, K., Song, Y., Jiang, X., Zhang, Z., Li, B., & Zhang, D. (2012) · Tree Genetics & Genomes · doi:10.1007/s11295-012-0527-2 · Cited by 26 · see citing works
Variation in Genomic Methylation in Natural Populations of Chinese White Poplar
Ma, K., Song, Y., Yang, X., Zhang, Z., & Zhang, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063977 · Cited by 24 · see citing works
Singh, R. B., Singh, B., & Singh, R. K. (2018) · Industrial Crops and Products · doi:10.1016/j.indcrop.2018.10.071 · Cited by 23 · see citing works
Genetic diversity of sugarcane hybrid cultivars by RAPD markers
Singh, P., Singh, S. P., Tiwari, A. K., & Sharma, B. L. (2017) · 3 Biotech · doi:10.1007/s13205-017-0855-x · Cited by 19 · see citing works
Francischini, J. H. M. B., Kemper, E. L., da Costa, J. B. N., Manechini, J. R. V., & Pinto, L. R. (2017) · Genetics and Molecular Research · doi:10.4238/gmr16029585 · Cited by 18 · see citing works
Self-citationliu, X., Li, X., Xu, C., Lin, X., & Deng, Z. (2015) · Sugar Tech · doi:10.1007/s12355-015-0399-5 · Cited by 17 · see citing works
Barbero (2014) · doi:10.1016/j · Cited by 1 · see citing works
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Research works printed but not linked: 1
- Lei CP, Jiun KS, Choo CS, Singh R (2006) Analysis of tissue culturederived regenerants using methylation sensitive AFLP. Asia Pac J Mol Biol Biotechnol 14(2):47-55
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- Authors
- Martins, A. A., da Silva, M. F., & Pinto, L. R.
- Affiliations
- Universidade Estadual Paulista (Unesp) (BR)
- Corresponding author
- Pinto, Luciana Rossini
- Venue
- 3 Biotech
- Published
- 2020-05-24
- Volume
- 10
- Issue
- 6
- Pages
- 265-265
- ISSN
- 2190-572X (ISSN-L)
- 2190-5738
- PMC
- PMC7246279
- OpenAlex
- W3027810313
- Cited by
- 6
- References
- 58
- Citations by year
- 2026: 2 · 2025: 1 · 2022: 3
- FWCI
- 0.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- 3 Biotech (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- Funders
- FAPESP (FAPESP2013/22500-5)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Sugarcane Cultivation and Processing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- sugarcane, Saccharum, epigenetic variation, DNA methylation, cytosine methylation, methylation-sensitive amplification polymorphism, Saccharum spontaneum, Saccharum robustum, Saccharum barberi, Erianthus, CpG islands, tandem repeats, cis-regulatory sequences, stress adaptation, genotype differentiation
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