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Identification of candidate genes involved in Witches’ broom disease resistance in a segregating mapping population of Theobroma cacao L. in Brazil

Overview of attention for article published in BMC Genomics, February 2016
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Title
Identification of candidate genes involved in Witches’ broom disease resistance in a segregating mapping population of Theobroma cacao L. in Brazil
Published in
BMC Genomics, February 2016
DOI 10.1186/s12864-016-2415-x
Pubmed ID
Authors

Stefan Royaert, Johannes Jansen, Daniela Viana da Silva, Samuel Martins de Jesus Branco, Donald S. Livingstone, Guiliana Mustiga, Jean-Philippe Marelli, Ioná Santos Araújo, Ronan Xavier Corrêa, Juan Carlos Motamayor

Abstract

Witches' broom disease (WBD) caused by the fungus Moniliophthora perniciosa is responsible for considerable economic losses for cacao producers. One of the ways to combat WBD is to plant resistant cultivars. Resistance may be governed by a few genetic factors, mainly found in wild germplasm. We developed a dense genetic linkage map with a length of 852.8 cM that contains 3,526 SNPs and is based on the MP01 mapping population, which counts 459 trees from a cross between the resistant 'TSH 1188' and the tolerant 'CCN 51' at the Mars Center for Cocoa Science in Barro Preto, Bahia, Brazil. Seven quantitative trait loci (QTL) that are associated with WBD were identified on five different chromosomes using a multi-trait QTL analysis for outbreeders. Phasing of the haplotypes at the major QTL region on chromosome IX on a diversity panel of genotypes clearly indicates that the major resistance locus comes from a well-known source of WBD resistance, the clone 'SCAVINA 6'. Various potential candidate genes identified within all QTL may be involved in different steps leading to disease resistance. Preliminary expression data indicate that at least three of these candidate genes may play a role during the first 12 h after infection, with clear differences between 'CCN 51' and 'TSH 1188'. We combined the information from a large mapping population with very distinct parents that segregate for WBD, a dense set of mapped markers, rigorous phenotyping capabilities and the availability of a sequenced genome to identify several genomic regions that are involved in WBD resistance. We also identified a novel source of resistance that most likely comes from the 'CCN 51' parent. Thanks to the large population size of the MP01 population, we were able to pick up QTL and markers with relatively small effects that can contribute to the creation and selection of more tolerant/resistant plant material.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 <1%
Unknown 101 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Master 14 14%
Student > Bachelor 11 11%
Student > Ph. D. Student 11 11%
Student > Doctoral Student 8 8%
Other 16 16%
Unknown 23 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 54%
Biochemistry, Genetics and Molecular Biology 14 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Computer Science 3 3%
Environmental Science 1 <1%
Other 3 3%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2016.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from BMC Genomics
#6,694
of 10,656 outputs
Outputs of similar age
#236,114
of 400,580 outputs
Outputs of similar age from BMC Genomics
#188
of 257 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,656 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.