Evidence map›Paper›PMID 39546404›Full record

ArticleDatabase : the journal of biological databases and curation2024

The Genomic SSR Millets Database (GSMDB): enhancing genetic resources for sustainable agriculture.

Sonu Kumar, Sangeeta Singh, Rakesh Kumar, Dinesh Gupta

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sonu KumarTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, Delhi 110067, India.ORCID 0009-0006-2978-3012
Sangeeta SinghTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, Delhi 110067, India.ORCID 0000-0003-3600-9982
Rakesh KumarTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, Delhi 110067, India.
Dinesh GuptaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, Delhi 110067, India.ORCID 0000-0002-7548-8835

Funding

Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India BT/IC-06/003/91 and BT/PR40151/BTIS/137/5/2021
6 · The paper itself

Abstract

The global population surge demands increased food production and nutrient-rich options to combat rising food insecurity. Climate-resilient crops are vital, with millets emerging as superfoods due to nutritional richness and stress tolerance. Given limited genomic information, a comprehensive genetic resource is crucial to advance millet research. Whole-genome sequencing provides an unprecedented opportunity, and molecular genetic methodologies, particularly simple sequence repeats (SSRs), play a pivotal role in DNA fingerprinting, constructing linkage maps, and conducting population genetic studies. SSRs are composed of repetitive DNA sequences where one to six nucleotides are repeated in tandem and distributed throughout the genome. Different millet species exhibit genomic variations attributed to the presence of SSRs. While SSRs have been identified in a few millet species, the existing information only covers some of the sequenced genomes. Moreover, there is an absence of complete gene annotation and visualization features for SSRs. Addressing this disparity and leveraging the de-novo millet genome assembly available from the NCBI, we have developed the Genomic SSR Millets Database (GSMDB; https://bioinfo.icgeb.res.in/gsmdb/). This open-access repository provides a web-based tool offering search functionalities and comprehensive details on 6.747645 million SSRs mined from the genomic sequences of seven millet species. The database, featuring unrestricted public access and JBrowse visualization, is a pioneering resource for the research community dedicated to advancing millet cultivars and related species. GSMDB holds immense potential to support myriad studies, including genetic diversity assessments, genetic mapping, marker-assisted selection, and comparative population investigations aiming to facilitate the millet breeding programs geared toward ensuring global food security. Database URL: https://bioinfo.icgeb.res.in/gsmdb/.

Indexed as

Databases, GeneticGenome, PlantMicrosatellite RepeatsAgricultureCrops, AgriculturalGenomicsMillets

Identifiers

PMID39546404
PMCPMC11566590

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.