Evidence map›Paper›PMID 25887443›Full record

ArticleBMC genomics2015

A genetic map of cassava (Manihot esculenta Crantz) with integrated physical mapping of immunity-related genes.

Johana Carolina Soto, Juan Felipe Ortiz, Laura Perlaza-Jiménez, Andrea Ximena Vásquez, Luis Augusto Becerra Lopez-Lavalle, Boby Mathew, Jens Léon, Adriana Jimena Bernal, Agim Ballvora, Camilo Ernesto López

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
16.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

27 citing papers in PubMed, 61 citations in OpenAlex.

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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 3 countries.

Johana Carolina SotoManihot Biotec Laboratory, Biology Department, Universidad Nacional de Colombia, Bogotá, Colombia. jcsotos@unal.edu.co.
Juan Felipe OrtizManihot Biotec Laboratory, Biology Department, Universidad Nacional de Colombia, Bogotá, Colombia. jortizqu@uwyo.edu.
Laura Perlaza-JiménezLaboratory of Mycology and Plant Pathology, Universidad de los Andes, Bogotá, Colombia. lauraperlaza@gmail.com.
Andrea Ximena VásquezManihot Biotec Laboratory, Biology Department, Universidad Nacional de Colombia, Bogotá, Colombia. axvasquezc@unal.edu.co.
Luis Augusto Becerra Lopez-LavalleInternational Center for Tropical Agriculture (CIAT), Cali, Colombia. L.A.Becerra@cgiar.org.
Boby MathewINRES-Plant Breeding University of Bonn, Bonn, Germany. boby.mathew@hotmail.com.
Jens LéonINRES-Plant Breeding University of Bonn, Bonn, Germany. j.leon@uni-bonn.de.
Adriana Jimena BernalLaboratory of Mycology and Plant Pathology, Universidad de los Andes, Bogotá, Colombia. abernal@uniandes.edu.co.
Agim BallvoraINRES-Plant Breeding University of Bonn, Bonn, Germany. ballvora@uni-bonn.de.
Camilo Ernesto LópezManihot Biotec Laboratory, Biology Department, Universidad Nacional de Colombia, Bogotá, Colombia. celopezc@unal.edu.co.
Universidad Nacional de Colombia · COUniversity of Bonn · DEUniversidad de Los Andes · COInternational Center for Tropical Agriculture · COVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCassava, Manihot esculenta Crantz, is one of the most important crops world-wide representing the staple security for more than one billion of people. The development of dense genetic and physical maps, as the basis for implementing genetic and molecular approaches to accelerate the rate of genetic gains in breeding program represents a significant challenge. A reference genome sequence for cassava has been made recently available and community efforts are underway for improving its quality. Cassava is threatened by several pathogens, but the mechanisms of defense are far from being understood. Besides, there has been a lack of information about the number of genes related to immunity as well as their distribution and genomic organization in the cassava genome.

resultsA high dense genetic map of cassava containing 2,141 SNPs has been constructed. Eighteen linkage groups were resolved with an overall size of 2,571 cM and an average distance of 1.26 cM between markers. More than half of mapped SNPs (57.4%) are located in coding sequences. Physical mapping of scaffolds of cassava whole genome sequence draft using the mapped markers as anchors resulted in the orientation of 687 scaffolds covering 45.6% of the genome. One hundred eighty nine new scaffolds are anchored to the genetic cassava map leading to an extension of the present cassava physical map with 30.7 Mb. Comparative analysis using anchor markers showed strong co-linearity to previously reported cassava genetic and physical maps. In silico based searching for conserved domains allowed the annotation of a repertory of 1,061 cassava genes coding for immunity-related proteins (IRPs). Based on physical map of the corresponding sequencing scaffolds, unambiguous genetic localization was possible for 569 IRPs.

conclusionsThis is the first study reported so far of an integrated high density genetic map using SNPs with integrated genetic and physical localization of newly annotated immunity related genes in cassava. These data build a solid basis for future studies to map and associate markers with single loci or quantitative trait loci for agronomical important traits. The enrichment of the physical map with novel scaffolds is in line with the efforts of the cassava genome sequencing consortium.

Indexed as

Chromosome MappingGenome, PlantCluster AnalysisGenetic LinkageGenetic MarkersGenotypeManihotPlant ImmunityPlant ProteinsPolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNAGenetic MarkersPlant Proteins

Identifiers

PMID25887443
PMCPMC4417308
OpenAlexW2073283295

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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.