Evidence map›Paper›PMID 21484332›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011

Integrating sorghum whole genome sequence information with a compendium of sorghum QTL studies reveals uneven distribution of QTL and of gene-rich regions with significant implications for crop improvement.

E S Mace, D R Jordan

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

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60citing papers in PubMed
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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

  1. Article
  2. Article
  3. The genetic architecture of temperature-induced partial fertility restoration in ATAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  7. Review
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  9. Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  17. Article
  18. Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

E S MaceDepartment of Employment, Economic Development and Innovation, Hermitage Research Station, 604 Yangan Road, Warwick, QLD, 4370, Australia. emma.mace@deedi.qld.gov.au
D R Jordan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive analysis was conducted using 48 sorghum QTL studies published from 1995 to 2010 to make information from historical sorghum QTL experiments available in a form that could be more readily used by sorghum researchers and plant breeders. In total, 771 QTL relating to 161 unique traits from 44 studies were projected onto a sorghum consensus map. Confidence intervals (CI) of QTL were estimated so that valid comparisons could be made between studies. The method accounted for the number of lines used and the phenotypic variation explained by individual QTL from each study. In addition, estimated centimorgan (cM) locations were calculated for the predicted sorghum gene models identified in Phytozome (JGI GeneModels SBI v1.4) and compared with QTL distribution genome-wide, both on genetic linkage (cM) and physical (base-pair/bp) map scales. QTL and genes were distributed unevenly across the genome. Heterochromatic enrichment for QTL was observed, with approximately 22% of QTL either entirely or partially located in the heterochromatic regions. Heterochromatic gene enrichment was also observed based on their predicted cM locations on the sorghum consensus map, due to suppressed recombination in heterochromatic regions, in contrast to the euchromatic gene enrichment observed on the physical, sequence-based map. The finding of high gene density in recombination-poor regions, coupled with the association with increased QTL density, has implications for the development of more efficient breeding systems in sorghum to better exploit heterosis. The projected QTL information described, combined with the physical locations of sorghum sequence-based markers and predicted gene models, provides sorghum researchers with a useful resource for more detailed analysis of traits and development of efficient marker-assisted breeding strategies.

Indexed as

Chromosome MappingGenome, PlantQuantitative Trait LociBreedingCrops, AgriculturalGenes, PlantGenetic LinkageGenetic MarkersModels, GeneticSorghumGenetic Markers

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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.