Evidence map›Paper›PMID 40668192›Full record

ArticleG3 (Bethesda, Md.)2025

Genetic linkage mapping in Megathyrsus maximus (Jacq.) with multiple dosage markers.

Gabriel de Siqueira Gesteira, Getulio Caixeta Ferreira, Marcelo Mollinari, Mateus Figueiredo Santos, Liana Jank, Mariane de Mendonça Vilela, Andrea Raposo, Lucimara Chiari, Zhao-Bang Zeng, Antonio Augusto Franco Garcia

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gabriel de Siqueira GesteiraBioinformatics Research Center, Department of Horticultural Science, North Carolina State University, Raleigh, NC 27607, USA.ORCID 0000-0002-4106-7346
Getulio Caixeta FerreiraDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of Sao Paulo, Piracicaba, SP 13418-900, Brazil.ORCID 0000-0003-4982-8274
Marcelo MollinariBioinformatics Research Center, Department of Horticultural Science, North Carolina State University, Raleigh, NC 27607, USA.ORCID 0000-0002-7001-8498
Mateus Figueiredo SantosEmbrapa Beef Cattle, Campo Grande, MS 79106-550, Brazil.
Liana JankEmbrapa Beef Cattle, Campo Grande, MS 79106-550, Brazil.
Mariane de Mendonça VilelaEmbrapa Beef Cattle, Campo Grande, MS 79106-550, Brazil.
Andrea RaposoEmbrapa Beef Cattle, Campo Grande, MS 79106-550, Brazil.
Lucimara ChiariEmbrapa Beef Cattle, Campo Grande, MS 79106-550, Brazil.ORCID 0000-0003-3030-7532
Zhao-Bang ZengBioinformatics Research Center, Department of Horticultural Science, North Carolina State University, Raleigh, NC 27607, USA.ORCID 0000-0002-3115-1149
Antonio Augusto Franco GarciaDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of Sao Paulo, Piracicaba, SP 13418-900, Brazil.ORCID 0000-0003-0634-3277

Funding

Coordination for the Improvement of Higher Education Personnel (CAPES)Embrapa Beef CattleNational Council for Scientific and Technological Development (CNPq)University Global Partnership Network (UGPN)
6 · The paper itself

Abstract

Megathyrsus maximus (Jacq.), commonly known as guinea grass, is a forage crop widely used to form pastures and feed livestock. The species stands out for presenting high yield and nutritional quality in the leaves and its ability to be clonally propagated by seeds. In this work, we construct a dense and informative genetic linkage map for M. maximus using multiple dosage markers. We sequenced DNA from leaf samples of 224 individuals from a biparental cross between two tetraploid genotypes, then analyzed the raw sequencing data to find variants and call dosage-based genotypes using four related reference genomes. With the multiple dosage genotypes for both parents and all individuals, we constructed a highly informative genetic linkage map using state-of-the-art methods coupled with the multipoint Hidden Markov Model approach. We present the densest and most informative genetic linkage map to date for the species, with 7,095 markers distributed across eight homology groups, spanning 1573.31 cM of the genome. Both parents and all individuals in the mapping population were phased according to the species' ploidy level. There was no evidence of double-reduction or preferential pairing in the studied population. The linkage analysis provided in this work can help unravel the evolutionary pathway of the species, understand the genetic behavior of quantitative traits, assist in the assembly of reference genomes, and support the adoption of genomics-assisted selection strategies in M. maximus breeding programs.

Indexed as

Chromosome MappingGene DosageGenetic LinkagePoaceaeGenetic MarkersGenome, PlantGenotypeQuantitative Trait LociGenetic Markersautotetraploidguineagrasslinkage mappolyploid

Identifiers

PMID40668192
PMCPMC12405877

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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.