ReviewBMC plant biology2021
Genome-wide association study and its applications in the non-model crop Sesamum indicum.
Review in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Integrating Meta-QTL Analysis and Genome-Wide Association Mapping in Ethiopian Sesame (Plants (Basel, Switzerland) · 2026Article
- SesamumGDB: a comprehensive platform for Sesamum genetics and genomics analysis.Database : the journal of biological databases and curation · 2024Article
- Refining flowering date enhances sesame yield independently of day-length.BMC plant biology · 2024Article
- Examining Chlorophyll Extraction Methods in Sesame Genotypes: Uncovering Leaf Coloration Effects and Anatomy Variations.Plants (Basel, Switzerland) · 2024Article
- Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.International journal of molecular sciences · 2024Review
- Full-length transcriptome and RNA-Seq analyses reveal the resistance mechanism of sesame in response to Corynespora cassiicola.BMC plant biology · 2024Article
- Omics technologies towards sesame improvement: a review.Molecular biology reports · 2023Review
- Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing.BMC plant biology · 2023Article
- Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement.International journal of molecular sciences · 2023Review
- Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame.Frontiers in genetics · 2023Article
- Identification of Chilling Accumulation-Associated Genes for Litchi Flowering by Transcriptome-Based Genome-Wide Association Studies.Frontiers in plant science · 2022Article
- Discovering favorable genes, QTLs, and genotypes as a genetic resource for sesame (Frontiers in genetics · 2022Review
- Multi-locus genome-wide association studies reveal genomic regions and putative candidate genes associated with leaf spot diseases in African groundnut (Frontiers in plant science · 2022Article
- Genome-wide association analysis uncovers the genetic architecture of tradeoff between flowering date and yield components in sesame.BMC plant biology · 2021Article
- Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.Frontiers in plant science · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSesame is a rare example of non-model and minor crop for which numerous genetic loci and candidate genes underlying features of interest have been disclosed at relatively high resolution. These progresses have been achieved thanks to the applications of the genome-wide association study (GWAS) approach. GWAS has benefited from the availability of high-quality genomes, re-sequencing data from thousands of genotypes, extensive transcriptome sequencing, development of haplotype map and web-based functional databases in sesame.
resultsIn this paper, we reviewed the GWAS methods, the underlying statistical models and the applications for genetic discovery of important traits in sesame. A novel online database SiGeDiD ( http://sigedid.ucad.sn/ ) has been developed to provide access to all genetic and genomic discoveries through GWAS in sesame. We also tested for the first time, applications of various new GWAS multi-locus models in sesame.
conclusionsCollectively, this work portrays steps and provides guidelines for efficient GWAS implementation in sesame, a non-model crop.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.