Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 572

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

QTL analysis of transgressive segregation in an interspecific tomato cross.

Open access
deVicente, M C, Tanksley, S D·1993·Genetics

Abstract

Two accessions, representing the species Lycopersicon esculentum (cultivated tomato) and Lycopersicon pennellii (a wild relative), were evaluated for 11 quantitative traits and found to be significantly different for 10 of the traits. Transgressive segregation was observed for eight of the traits in a large interspecific F2 population. When restriction fragment length polymorphism markers were used as probes for the quantitative trait loci (QTL) underlying the traits, 74 significant QTL (LOD > 2) were detected. Thirty-six percent of those QTL had alleles with effects opposite to those predicted by the parental phenotypes. These QTL were directly related to the appearance of transgressive individuals in the F2 for those traits which showed transgressive segregation. However, the same types of QTL (with allelic effects opposite to those predicted by the parents) were also observed for traits that did not display transgressive segregation in the F2. One such trait was dry weight accumulation. When two overdominant QTL (detected in the F2) for this trait were backcrossed into the L. esculentum genetic background, transgressive individuals were recovered and their occurrence was associated with the two QTL demonstrating the potential for transgressive segregation for all characters and implicating overdominance as a second cause of transgressive segregation. Epistasis was not implicated in transgressive segregation in either the F2 or backcross generations. Results from this research not only reveal the basis of wide-cross transgressive segregation, but demonstrate that molecular markers can be used to identify QTL (from wild species) responsible for transgressive phenotypes and to selectively transfer them into crop species. This strategy might be used to improve many traits of economic importance including those for which wild species appear phenotypically inferior to their cultivated counterparts.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/genetics/134.2.585

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

See all 572

Metadata

Authors
deVicente, M. C., & Tanksley, S. D.
Venue
Genetics
Published
1993-06-01
Volume
134
Issue
2
Pages
585-596
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
OpenAlex
W1841466207
Cited by
572
References
17
FWCI
12.14
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: QTL analysis of transgressive segregation in an interspecific tomato cross. https://app.cochat.ai/papers/10.1093/genetics/134.2.585
The paper
deVicente, M. C., & Tanksley, S. D. (1993). QTL analysis of transgressive segregation in an interspecific tomato cross. Genetics. https://doi.org/10.1093/genetics/134.2.585

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.