ArticleMolecular genetics and genomics : MGG2016
A comparative transcriptome analysis of two sets of backcross inbred lines differing in lint-yield derived from a Gossypium hirsutum × Gossypium barbadense population.
Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- 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
- Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits.Journal of advanced research · 2023Article
- Genome-wide characterization of trichome birefringence-like genes provides insights into fiber yield improvement.Frontiers in plant science · 2023Article
- Comparative transcriptome analysis of fiber and nonfiber tissues to identify the genes preferentially expressed in fiber development in Gossypium hirsutum.Scientific reports · 2021Article
- Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line.Frontiers in plant science · 2021Article
- Transcriptome Analysis Suggests That Chromosome Introgression Fragments from Sea Island Cotton (G3 (Bethesda, Md.) · 2017Article
- Article
- De novo and reference transcriptome assembly of transcripts expressed during flowering provide insight into seed setting in tetraploid red clover.Scientific reports · 2017Article
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 at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Upland cotton (Gossypium hirsutum L.) is the most important fiber crop, and its lint-yield improvement is impeded due to its narrow genetic base and the lack of understanding of the genetic basis of yield. Backcross inbred lines (BILs) or near-isogenic lines (NILs) in the same genetic background differing in lint yield, developed through advanced backcrossing, provide an important genomic resource to study the molecular genetic basis of lint yield. In the present study, a high-yield (HY) group and a low-yield (LY) group each with three BILs were selected from a BIL population between G. hirsutum and G. barbadense. Using a microarray-based comparative transcriptome analysis on developing fibers at 10 days post-anthesis (DPA) between the two groups, 1486 differentially expressed genes (DEGs) were identified. A total of 212 DEGs were further mapped in the regions of 24 yield QTL and 11 yield trait QTL hotspots as reported previously, and 81 DEGs mapped with the 7 lint-yield QTL identified in the BIL population from which the two sets of BILs were selected. Gene Ontology annotations and Blast-Mapping-Annotation-KEGG analysis via Blast2GO revealed that more DEGs were associated with catalytic activity and binding, followed by transporters, nucleic acid binding transcription factors, structural molecules and molecular transducer activities. Six DEGs were chosen for a quantitative RT-PCR assay, and the results were consistent with the microarray analysis. The development of DEGs-based markers revealed that 7 single strand conformation polymorphism-based single nucleotide polymorphic (SSCP-SNP) markers were associated with yield traits, and 3 markers with lint yield. In the present study, we identified a number of yield and yield component QTL-co-localizing DEGs and developed several DEG-based SSCP-SNP markers for the traits, thereby providing a set of candidate genes for molecular breeding and genetic manipulation of lint yield in cotton.
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.