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A relational database, CnTDB (http://webtom.cabgrid.res.in/cntdb/), based on three-tier architecture has been developed having 285235 transcripts with all blast information, annotations, pathways, 22021 DEGs, transcriptional factors, 10126 and 97117 SSR markers mined from DEGs and de novo transcriptome assembly, respectively.
Of the markers mined from Clementine, 80.5% were successfully transferred to the whole Citrus gene pool.
SSR markers mined from BAC clones (BAC-derived SSR markers) have advantages over other markers without targeted sequence [ 34, 35].
This integrated map is anchored by gene-targeted SSR markers mined from a white clover GeneThresher® (TrGT) genomic DNA sequence and from ESTs.
In this study, we updated the published linkage map by adding simple sequence repeat (SSR) markers mined from the EP155 reference genome sequence (Supporting Information, Table S1), using methods described in Kubisiak et al. (2007).
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A combination of these genic-SSR markers, single nucleotide polymorphism markers being mined from the TSA contigs assembled in this study and genomic SSR markers developed in other laboratories will be a powerful resource for molecular taxonomic studies and construction of a reference molecular map of the pigeonpea genome.
Canonical map construction follows a well-established workflow: an initial discovery phase where genetic markers are mined from a small pool of individuals, followed by genotyping of selected mapping populations using sets of marker panels.
Most of these markers were mined from Nules Clementine BAC end sequences [ 8, 27] and, as a result, were heterozygous for Clementine.
These EST-derived genic markers were mined from conserved M. truncatula gene sequences; therefore, they can be used to anchor genomic regions between pea and M. truncatula and possibly among other members of the legume family.
Over 200 different ready-to-use experimentally validated molecular markers were also mined from the existing literature to further enrich the lab-based studies targeting variety improvement.
Many studies published more recently have embraced NGS technologies in SSR development, pursuing markers that can be mined from publicly available data sets (e.g., the National Center for Biotechnology Information's [NCBI] GenBank) of genic regions compiled using expressed sequence tags (ESTs).
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