Genic microsatellite markers in plants: features and applications.
By Rajeev K. Varshney, A. Graner, M. Sorrells. Trends in Biotechnology, 2005
1,865 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/441709d225d99041ac054dd81d8a130455e8a18b
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Citations in the corpus
- Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, background): “Molecular markers intended for MABC can be selected based on (i) their genome distribution; (ii) haplotype diversity and/or polymorphic information content indices; and (iii) their association with candidate genes and other agronomic traits (excluding target introgression trait) (Xu, 2003; Varshney ”
- Genome-Wide Analysis of Fatty Acid Desaturases in Soybean (Glycine max) (2011, background): “SSR Markers Development and Marker-Assisted Breeding During the last decade, microsatellites or SSRs have been proven to be useful markers in plant genetic research and have been used for marker-assisted breeding purposes (Varshney et al. 2005).”
- Microsatellite and SNP Markers in Wheat Breeding (2007, neutral): “microsatellite motif (Varshney et al., 2005).”
- Molecular markers: It’s application in crop improvement (2009, background): “Most of the large scale, multi species in silico mining efforts for developing EST-SSRs seem to have focused primarily on monocotyledonous crops (Kantety et al. 2002), although ESTs of a few dicot species have been explored for SSR mining (Varshney et al. 2005).”
- Impact of Genomic Technologies on Chickpea Breeding Strategies (2012, background): “SSR markers have also been mined from expressed sequence tags (ESTs) [50,51].”
- EST-derived SSR markers in Jatropha curcas L.: development, characterization, polymorphism, and transferability across the species/genera (2011, background): “…be facilitated by developing DNA-based markers such as SSRs and their applications to estimate the level of genetic diversity and construction of framework linkage map and for association and QTL mapping for tagging the target traits (Varshney et al. 2005a; Gupta and Roy 2002; Collard et al. 2005).”
- Prunus microsatellite marker transferability across rosaceous crops (2010, background): “Overall, our results are consistent with that published on the comparison between genomic and EST SSRs (Varshney et al. 2005), with almond EST SSRs, generally from coding regions, having a higher proportion of cross-species amplification but lower polymorphism, while peach EST SSRs, similar to genom”
- BatchPrimer3: A high throughput web application for PCR and sequencing primer design (2008, methodology): “EST sequences are often used to design SSR primers [11] or other types of primers (such as sequencing primers and conserved primers, see Results ).”
- Diversity distribution and population structure of tea germplasms in China revealed by EST-SSR markers (2011, methodology): “Comparing to genomic SSRs, EST-SSRs were designed to amplify the microsatellite loci present in the encoding parts of genes, which could be used to assess functional diversity by assaying the variation in transcribed and known-function genes (Varshney et al. 2005).”
- Genetic Diversity of Twelve Switchgrass Populations Using Molecular and Morphological Markers (2010, background): “They have been shown to have roles in gene expression, regulation of DNA recombination, transcription and translation, as well as putative roles in providing an adaptive advantage [6, 27, 48].”
- Evaluating potential genetic gains in wheat associated with stress-adaptive trait expression in elite genetic resources under drought and heat stress (2007, background): “, 2007), costeff ective biotechnological interventions have yet to be developed for genetically more complex characteristics such as adaptation to abiotic stress (Snape, 2004; Varshney et al., 2005).”
- Genic Molecular Markers in Plants: Development and Applications (2007, methodology): “Several studies involving GMMs, especially genic SSRs, have been found useful for estimating genetic relationship on one hand (see Gupta et al. 2003 Gupta and Rustgi 2004, Varshney et al. 2005a ) while at the same time these have provided opportunities to examine functional diversity in relation to”
- Genetic and Genomic Resources of Small Millets (2016, background): “…significant role in identifying and tagging numerous agronomically important genes and QTLs for developing genetic maps, gene identification, and plant breeding applications, besides understanding genetic diversity (Gupta et al., 1999; Kumar, 1999; Gupta and Varshney, 2000; Varshney et al., 2005).”
- Molecular markers: actual and potential contributions to wheat genome characterization and breeding (2007, background): “…and their applications have been extensively reviewed (Gupta et al. 1999; Joshi et al. 1999; Gupta et al. 2001; Langridge et al. 2001; Korzun and Ebmeyer 2003; Mohler and Schwarz 2004; Rakoczy-Trojanowska and Bolibok 2004; Röder et al. 2004; Varshney et al. 2005a; Khlestkina and Salina 2006).”