Evidence map›Paper›PMID 19171067›Full record

ArticleBMC plant biology2009

A consensus genetic map of sorghum that integrates multiple component maps and high-throughput Diversity Array Technology (DArT) markers.

Emma S Mace, Jean-Francois Rami, Sophie Bouchet, Patricia E Klein, Robert R Klein, Andrzej Kilian, Peter Wenzl, Ling Xia, Kirsten Halloran, David R Jordan

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
27.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

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.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 212 citations in OpenAlex.

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  6. Genetic dissection of root architecture in Ethiopian sorghum landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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  18. A reference high-density genetic map of greater yam (Dioscorea alata L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
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  20. 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
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33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Emma S MaceThe Department of Primary Industries & Fisheries, Queensland, Hermitage Research Station, Warwick, QLD 4370, Australia. emma.mace@dpi.qld.gov.au
Jean-Francois Rami
Sophie Bouchet
Patricia E Klein
Robert R Klein
Andrzej Kilian
Peter Wenzl
Ling Xia
Kirsten Halloran
David R Jordan
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversity of Warwick · GBQueensland Department of Agriculture and Fisheries · AUSouthern Plains Agricultural Research Center · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSorghum genome mapping based on DNA markers began in the early 1990s and numerous genetic linkage maps of sorghum have been published in the last decade, based initially on RFLP markers with more recent maps including AFLPs and SSRs and very recently, Diversity Array Technology (DArT) markers. It is essential to integrate the rapidly growing body of genetic linkage data produced through DArT with the multiple genetic linkage maps for sorghum generated through other marker technologies. Here, we report on the colinearity of six independent sorghum component maps and on the integration of these component maps into a single reference resource that contains commonly utilized SSRs, AFLPs, and high-throughput DArT markers.

resultsThe six component maps were constructed using the MultiPoint software. The lengths of the resulting maps varied between 910 and 1528 cM. The order of the 498 markers that segregated in more than one population was highly consistent between the six individual mapping data sets. The framework consensus map was constructed using a "Neighbours" approach and contained 251 integrated bridge markers on the 10 sorghum chromosomes spanning 1355.4 cM with an average density of one marker every 5.4 cM, and were used for the projection of the remaining markers. In total, the sorghum consensus map consisted of a total of 1997 markers mapped to 2029 unique loci (1190 DArT loci and 839 other loci) spanning 1603.5 cM and with an average marker density of 1 marker/0.79 cM. In addition, 35 multicopy markers were identified. On average, each chromosome on the consensus map contained 203 markers of which 58.6% were DArT markers. Non-random patterns of DNA marker distribution were observed, with some clear marker-dense regions and some marker-rare regions.

conclusionThe final consensus map has allowed us to map a larger number of markers than possible in any individual map, to obtain a more complete coverage of the sorghum genome and to fill a number of gaps on individual maps. In addition to overall general consistency of marker order across individual component maps, good agreement in overall distances between common marker pairs across the component maps used in this study was determined, using a difference ratio calculation. The obtained consensus map can be used as a reference resource for genetic studies in different genetic backgrounds, in addition to providing a framework for transferring genetic information between different marker technologies and for integrating DArT markers with other genomic resources. DArT markers represent an affordable, high throughput marker system with great utility in molecular breeding programs, especially in crops such as sorghum where SNP arrays are not publicly available.

Indexed as

Genome, PlantAmplified Fragment Length Polymorphism AnalysisChromosome MappingDNA, PlantGenetic MarkersGenetics, PopulationGenotypeMicrosatellite RepeatsSequence Analysis, DNASoftwareSorghumDNA, PlantGenetic Markers

Identifiers

PMID19171067
PMCPMC2671505
OpenAlexW2002889374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.