Evidence map›Paper›PMID 26872939›Full record

ArticleBMC genomics2016

Evaluation of genetic variation among Brazilian soybean cultivars through genome resequencing.

João Vitor Maldonado dos Santos, Babu Valliyodan, Trupti Joshi, Saad M Khan, Yang Liu, Juexin Wang, Tri D Vuong, Marcelo Fernandes de Oliveira, Francismar Corrêa Marcelino-Guimarães, Dong Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
17.1field-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

29 citing papers in PubMed, 65 citations in OpenAlex.

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  16. Genome-wide association study for resistance to the Meloidogyne javanica causing root-knot nematode in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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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

12 authors at 3 institutions in 2 countries.

João Vitor Maldonado dos SantosBrazilian Corporation of Agricultural Research (Embrapa Soja), Carlos João Strass road, Warta County, PR, Brazil. jv_maldonado@hotmail.com.
Babu ValliyodanNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. valliyodanb@missouri.edu.
Trupti JoshiInformatics Institute and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. joshitr@missouri.edu.
Saad M KhanInformatics Institute and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. smk5g5@mail.missouri.edu.
Yang LiuInformatics Institute and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. ylmk2@mail.missouri.edu.
Juexin WangInformatics Institute and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. wangjue@missouri.edu.
Tri D VuongNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. vuongt@missouri.edu.
Marcelo Fernandes de OliveiraBrazilian Corporation of Agricultural Research (Embrapa Soja), Carlos João Strass road, Warta County, PR, Brazil. marcelofernandes.oliveira@embrapa.br.
Francismar Corrêa Marcelino-GuimarãesBrazilian Corporation of Agricultural Research (Embrapa Soja), Carlos João Strass road, Warta County, PR, Brazil. francismar.marcelino@embrapa.br.
Dong XuInformatics Institute and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. xudong@missouri.edu.
Henry T NguyenNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. nguyenhenry@missouri.edu.
Ricardo Vilela AbdelnoorBrazilian Corporation of Agricultural Research (Embrapa Soja), Carlos João Strass road, Warta County, PR, Brazil. ricardo.abdelnoor@embrapa.br.
University of Missouri · USBrazilian Agricultural Research Corporation · BRUniversidade Estadual de Londrina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoybean [Glycine max (L.) Merrill] is one of the most important legumes cultivated worldwide, and Brazil is one of the main producers of this crop. Since the sequencing of its reference genome, interest in structural and allelic variations of cultivated and wild soybean germplasm has grown. To investigate the genetics of the Brazilian soybean germplasm, we selected soybean cultivars based on the year of commercialization, geographical region and maturity group and resequenced their genomes.

resultsWe resequenced the genomes of 28 Brazilian soybean cultivars with an average genome coverage of 14.8X. A total of 5,835,185 single nucleotide polymorphisms (SNPs) and 1,329,844 InDels were identified across the 20 soybean chromosomes, with 541,762 SNPs, 98,922 InDels and 1,093 CNVs that were exclusive to the 28 Brazilian cultivars. In addition, 668 allelic variations of 327 genes were shared among all of the Brazilian cultivars, including genes related to DNA-dependent transcription-elongation, photosynthesis, ATP synthesis-coupled electron transport, cellular respiration, and precursors of metabolite generation and energy. A very homogeneous structure was also observed for the Brazilian soybean germplasm, and we observed 41 regions putatively influenced by positive selection. Finally, we detected 3,880 regions with copy-number variations (CNVs) that could help to explain the divergence among the accessions evaluated.

conclusionsThe large number of allelic and structural variations identified in this study can be used in marker-assisted selection programs to detect unique SNPs for cultivar fingerprinting. The results presented here suggest that despite the diversification of modern Brazilian cultivars, the soybean germplasm remains very narrow because of the large number of genome regions that exhibit low diversity. These results emphasize the need to introduce new alleles to increase the genetic diversity of the Brazilian germplasm.

Indexed as

Genetic VariationGenome, PlantGenomicsHigh-Throughput Nucleotide SequencingAllelesBrazilCluster AnalysisDNA Copy Number VariationsGlycine maxINDEL MutationPhylogenyPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID26872939
PMCPMC4752768
OpenAlexW2254746625

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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.