Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Iquebal, Mir Asif, Jaiswal, Sarika, Angadi, U.B., Sablok, Gaurav, Arora, Vasu, Kumar, Sunil, Rai, Anil, Kumar, Dinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
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
_version_ 1782404557586825216
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
work_keys_str_mv AT iquebalmirasif sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT jaiswalsarika sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT angadiub sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT sablokgaurav sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT aroravasu sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT kumarsunil sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT raianil sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications
AT kumardinesh sbmdbfirstwholegenomeputativemicrosatellitednamarkerdatabaseofsugarbeetforbioenergyandindustrialapplications