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SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications
DNA marker plays important role as valuable tools to increase crop productivity by finding plausible answers to genetic variations and linking the Quantitative Trait Loci (QTL) of beneficial trait. Prior approaches in development of Short Tandem Repeats (STR) markers were time consuming and ineffici...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672366/ https://www.ncbi.nlm.nih.gov/pubmed/26647370 http://dx.doi.org/10.1093/database/bav111 |
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author | Iquebal, Mir Asif Jaiswal, Sarika Angadi, U.B. Sablok, Gaurav Arora, Vasu Kumar, Sunil Rai, Anil Kumar, Dinesh |
author_facet | Iquebal, Mir Asif Jaiswal, Sarika Angadi, U.B. Sablok, Gaurav Arora, Vasu Kumar, Sunil Rai, Anil Kumar, Dinesh |
author_sort | Iquebal, Mir Asif |
collection | PubMed |
description | DNA marker plays important role as valuable tools to increase crop productivity by finding plausible answers to genetic variations and linking the Quantitative Trait Loci (QTL) of beneficial trait. Prior approaches in development of Short Tandem Repeats (STR) markers were time consuming and inefficient. Recent methods invoking the development of STR markers using whole genomic or transcriptomics data has gained wide importance with immense potential in developing breeding and cultivator improvement approaches. Availability of whole genome sequences and in silico approaches has revolutionized bulk marker discovery. We report world’s first sugarbeet whole genome marker discovery having 145 K markers along with 5 K functional domain markers unified in common platform using MySQL, Apache and PHP in SBMDb. Embedded markers and corresponding location information can be selected for desired chromosome, location/interval and primers can be generated using Primer3 core, integrated at backend. Our analyses revealed abundance of ‘mono’ repeat (76.82%) over ‘di’ repeats (13.68%). Highest density (671.05 markers/Mb) was found in chromosome 1 and lowest density (341.27 markers/Mb) in chromosome 6. Current investigation of sugarbeet genome marker density has direct implications in increasing mapping marker density. This will enable present linkage map having marker distance of ∼2 cM, i.e. from 200 to 2.6 Kb, thus facilitating QTL/gene mapping. We also report e-PCR-based detection of 2027 polymorphic markers in panel of five genotypes. These markers can be used for DUS test of variety identification and MAS/GAS in variety improvement program. The present database presents wide source of potential markers for developing and implementing new approaches for molecular breeding required to accelerate industrious use of this crop, especially for sugar, health care products, medicines and color dye. Identified markers will also help in improvement of bioenergy trait of bioethanol and biogas production along with reaping advantage of crop efficiency in terms of low water and carbon footprint especially in era of climate change. Database URL: http://webapp.cabgrid.res.in/sbmdb/ |
format | Online Article Text |
id | pubmed-4672366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46723662015-12-09 SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications Iquebal, Mir Asif Jaiswal, Sarika Angadi, U.B. Sablok, Gaurav Arora, Vasu Kumar, Sunil Rai, Anil Kumar, Dinesh Database (Oxford) Original Article DNA marker plays important role as valuable tools to increase crop productivity by finding plausible answers to genetic variations and linking the Quantitative Trait Loci (QTL) of beneficial trait. Prior approaches in development of Short Tandem Repeats (STR) markers were time consuming and inefficient. Recent methods invoking the development of STR markers using whole genomic or transcriptomics data has gained wide importance with immense potential in developing breeding and cultivator improvement approaches. Availability of whole genome sequences and in silico approaches has revolutionized bulk marker discovery. We report world’s first sugarbeet whole genome marker discovery having 145 K markers along with 5 K functional domain markers unified in common platform using MySQL, Apache and PHP in SBMDb. Embedded markers and corresponding location information can be selected for desired chromosome, location/interval and primers can be generated using Primer3 core, integrated at backend. Our analyses revealed abundance of ‘mono’ repeat (76.82%) over ‘di’ repeats (13.68%). Highest density (671.05 markers/Mb) was found in chromosome 1 and lowest density (341.27 markers/Mb) in chromosome 6. Current investigation of sugarbeet genome marker density has direct implications in increasing mapping marker density. This will enable present linkage map having marker distance of ∼2 cM, i.e. from 200 to 2.6 Kb, thus facilitating QTL/gene mapping. We also report e-PCR-based detection of 2027 polymorphic markers in panel of five genotypes. These markers can be used for DUS test of variety identification and MAS/GAS in variety improvement program. The present database presents wide source of potential markers for developing and implementing new approaches for molecular breeding required to accelerate industrious use of this crop, especially for sugar, health care products, medicines and color dye. Identified markers will also help in improvement of bioenergy trait of bioethanol and biogas production along with reaping advantage of crop efficiency in terms of low water and carbon footprint especially in era of climate change. Database URL: http://webapp.cabgrid.res.in/sbmdb/ Oxford University Press 2015-12-07 /pmc/articles/PMC4672366/ /pubmed/26647370 http://dx.doi.org/10.1093/database/bav111 Text en © The Author(s) 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Iquebal, Mir Asif Jaiswal, Sarika Angadi, U.B. Sablok, Gaurav Arora, Vasu Kumar, Sunil Rai, Anil Kumar, Dinesh SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications |
title | SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications |
title_full | SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications |
title_fullStr | SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications |
title_full_unstemmed | SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications |
title_short | SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications |
title_sort | sbmdb: first whole genome putative microsatellite dna marker database of sugarbeet for bioenergy and industrial applications |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672366/ https://www.ncbi.nlm.nih.gov/pubmed/26647370 http://dx.doi.org/10.1093/database/bav111 |
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