SynthesisBMC genomics2013
A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton.
Synthesis in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 7 of them syntheses that pooled 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.
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
123 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Meta-analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.).The plant genome · 2023Pooled it
- Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment.BMC genomics · 2023Pooled it
- Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.BMC genomics · 2022Pooled it
- Genome-wide quantitative trait loci mapping on Verticillium wilt resistance in 300 chromosome segment substitution lines from Gossypium hirsutum × Gossypium barbadense.G3 (Bethesda, Md.) · 2021Pooled it
- A meta-analysis of quantitative trait loci for abiotic and biotic stress resistance in tetraploid cotton.Molecular genetics and genomics : MGG · 2017Pooled it
- Genetic analysis of Verticillium wilt resistance in a backcross inbred line population and a meta-analysis of quantitative trait loci for disease resistance in cotton.BMC genomics · 2015Pooled it
- A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations.Molecular genetics and genomics : MGG · 2015Pooled it
- Verticillium Wilt of Cotton: Identification and Detection of the Causal Pathogen and Its Control.Plants (Basel, Switzerland) · 2026Review
- Cotton genetic mapping for plant biotechnology: from markers to graph pan-genomes and sustainable breeding.Frontiers in plant science · 2026Review
- Identification of Stable Meta-QTLs and Candidate Genes Underlying Fiber Quality and Agronomic Traits in Cotton.Plants (Basel, Switzerland) · 2025Article
- Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- High resolution QTL mapping and candidate gene mining for seed oil content and fatty acid composition in soybean.BMC plant biology · 2025Article
- Transcriptome dynamics along with expression analysis of key genes involved in fiber development between Gossypium barbadense and Gossypium darwinii.BMC plant biology · 2025Article
- QTL Mapping and Candidate Gene Analysis for Cotton Fiber Quality and Early Maturity Using FPlants (Basel, Switzerland) · 2025Article
- Molecular dissection of quantitative variation in fiber elongation betweenFrontiers in plant science · 2025Article
- Identification of QTLs for early maturity-related traits based on RIL population of two elite cotton cultivars.BMC plant biology · 2024Article
- Association mapping and candidate gene identification for yield traits in European hazelnut (Plant direct · 2024Article
- Meta-QTL analysis and candidate genes for quality traits, mineral content, and abiotic-related traits in wild emmer.Frontiers in plant science · 2024Article
- Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis.Heliyon · 2023Article
- Genome-Wide Association Study of Lint Percentage inInternational journal of molecular sciences · 2023Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study of quantitative trait loci (QTL) in cotton (Gossypium spp.) is focused on traits of agricultural significance. Previous studies have identified a plethora of QTL attributed to fiber quality, disease and pest resistance, branch number, seed quality and yield and yield related traits, drought tolerance, and morphological traits. However, results among these studies differed due to the use of different genetic populations, markers and marker densities, and testing environments. Since two previous meta-QTL analyses were performed on fiber traits, a number of papers on QTL mapping of fiber quality, yield traits, morphological traits, and disease resistance have been published. To obtain a better insight into the genome-wide distribution of QTL and to identify consistent QTL for marker assisted breeding in cotton, an updated comparative QTL analysis is needed.
resultsIn this study, a total of 1,223 QTL from 42 different QTL studies in Gossypium were surveyed and mapped using Biomercator V3 based on the Gossypium consensus map from the Cotton Marker Database. A meta-analysis was first performed using manual inference and confirmed by Biomercator V3 to identify possible QTL clusters and hotspots. QTL clusters are composed of QTL of various traits which are concentrated in a specific region on a chromosome, whereas hotspots are composed of only one trait type. QTL were not evenly distributed along the cotton genome and were concentrated in specific regions on each chromosome. QTL hotspots for fiber quality traits were found in the same regions as the clusters, indicating that clusters may also form hotspots.
conclusionsPutative QTL clusters were identified via meta-analysis and will be useful for breeding programs and future studies involving Gossypium QTL. The presence of QTL clusters and hotspots indicates consensus regions across cultivated tetraploid Gossypium species, environments, and populations which contain large numbers of QTL, and in some cases multiple QTL associated with the same trait termed a hotspot. This study combines two previous meta-analysis studies and adds all other currently available QTL studies, making it the most comprehensive meta-analysis study in cotton to date.
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.