ArticleG3 (Bethesda, Md.)2016
A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification.
Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 40 citations in OpenAlex.
- What metabolomics has taught us about tomato fruit ripening and quality.Journal of experimental botany · 2025Review
- A novel tomato interspecific (Horticulture research · 2024Article
- A wheat chromosome segment substitution line series supports characterization and use of progenitor genetic variation.The plant genome · 2024Article
- An Integrative Transcriptomics and Proteomics Approach to Identify Putative Genes Underlying Fruit Ripening in Tomato near Isogenic Lines with Long Shelf Life.Plants (Basel, Switzerland) · 2023Article
- Gossypium mustelinum genome and an introgression population enrich interspecific genetics and breeding in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Natural variation of respiration-related traits in plants.Plant physiology · 2023Review
- Diversity of tomato leaf form provides novel insights into breeding.Breeding science · 2023Article
- Leaf shape inEcology and evolution · 2020Article
- Analysis of wild tomato introgression lines elucidates the genetic basis of transcriptome and metabolome variation underlying fruit traits and pathogen response.Nature genetics · 2020Article
- Article
- Construction, characteristics and high throughput molecular screening methodologies in some special breeding populations: a horticultural perspective.Journal of genetics · 2019Review
- Sequencing-Based Bin Map Construction of a Tomato Mapping Population, Facilitating High-Resolution Quantitative Trait Loci Detection.The plant genome · 2019Article
- Phenotypic and Molecular Selection of a SuperiorFrontiers in plant science · 2019Article
- A Solanum neorickii introgression population providing a powerful complement to the extensively characterized Solanum pennellii population.The Plant journal : for cell and molecular biology · 2019Article
- Mutations inProceedings of the National Academy of Sciences of the United States of America · 2018Article
- Evolution of a flipped pathway creates metabolic innovation in tomato trichomes through BAHD enzyme promiscuity.Nature communications · 2017Article
- Using RNA-Seq for Genomic Scaffold Placement, Correcting Assemblies, and Genetic Map Creation in a CommonG3 (Bethesda, Md.) · 2017Article
- QTL analysis of cotton fiber length in advanced backcross populations derived from a cross between Gossypium hirsutum and G. mustelinum.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade.GigaScience · 2017Article
- eQTL Regulating Transcript Levels Associated with Diverse Biological Processes in Tomato.Plant physiology · 2016Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Quantitative Trait Loci (QTL) mapping is a powerful technique for dissecting the genetic basis of traits and species differences. Established tomato mapping populations between domesticated tomato (Solanum lycopersicum) and its more distant interfertile relatives typically follow a near isogenic line (NIL) design, such as the S. pennellii Introgression Line (IL) population, with a single wild introgression per line in an otherwise domesticated genetic background. Here, we report on a new advanced backcross QTL mapping resource for tomato, derived from a cross between the M82 tomato cultivar and S. pennellii This so-called Backcrossed Inbred Line (BIL) population is comprised of a mix of BC
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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.