Evidence map›Paper›PMID 29898656›Full record

ArticleBMC evolutionary biology2018

Natural variation in genes potentially involved in plant architecture and adaptation in switchgrass (Panicum virgatum L.).

Bochra A Bahri, Guillaume Daverdin, Xiangyang Xu, Jan-Fang Cheng, Kerrie W Barry, E Charles Brummer, Katrien M Devos

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Article in BMC evolutionary biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Virulence and Genetic Diversity ofPathogens (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Bochra A BahriInstitute of Plant Breeding, Genetics and Genomics (Department of Crop and Soil Sciences), and Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA. bbahri@uga.edu.ORCID 0000-0001-5905-5880
Guillaume DaverdinInstitute of Plant Breeding, Genetics and Genomics (Department of Crop and Soil Sciences), and Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA.
Xiangyang XuInstitute of Plant Breeding, Genetics and Genomics (Department of Crop and Soil Sciences), and Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA.
Jan-Fang ChengDOE Joint Genome Institute, Walnut Creek, California, CA, 94598, USA.
Kerrie W BarryDOE Joint Genome Institute, Walnut Creek, California, CA, 94598, USA.
E Charles BrummerPlant Breeding Center, Plant Sciences Department, University of California, Davis, CA, 95616, USA.
Katrien M DevosInstitute of Plant Breeding, Genetics and Genomics (Department of Crop and Soil Sciences), and Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA.

Funding

Office of Biological and Environmental Research in the Department of Energy (DOE) Office of Science to the BioEnergy Science Center (BESC) DE-PS02-06ER64304
6 · The paper itself

Abstract

backgroundAdvances in genomic technologies have expanded our ability to accurately and exhaustively detect natural genomic variants that can be applied in crop improvement and to increase our knowledge of plant evolution and adaptation. Switchgrass (Panicum virgatum L.), an allotetraploid (2n = 4× = 36) perennial C4 grass (Poaceae family) native to North America and a feedstock crop for cellulosic biofuel production, has a large potential for genetic improvement due to its high genotypic and phenotypic variation. In this study, we analyzed single nucleotide polymorphism (SNP) variation in 372 switchgrass genotypes belonging to 36 accessions for 12 genes putatively involved in biomass production to investigate signatures of selection that could have led to ecotype differentiation and to population adaptation to geographic zones.

resultsA total of 11,682 SNPs were mined from ~ 15 Gb of sequence data, out of which 251 SNPs were retained after filtering. Population structure analysis largely grouped upland accessions into one subpopulation and lowland accessions into two additional subpopulations. The most frequent SNPs were in homozygous state within accessions. Sixty percent of the exonic SNPs were non-synonymous and, of these, 45% led to non-conservative amino acid changes. The non-conservative SNPs were largely in linkage disequilibrium with one haplotype being predominantly present in upland accessions while the other haplotype was commonly present in lowland accessions. Tajima's test of neutrality indicated that PHYB, a gene involved in photoperiod response, was under positive selection in the switchgrass population. PHYB carried a SNP leading to a non-conservative amino acid change in the PAS domain, a region that acts as a sensor for light and oxygen in signal transduction.

conclusionsSeveral non-conservative SNPs in genes potentially involved in plant architecture and adaptation have been identified and led to population structure and genetic differentiation of ecotypes in switchgrass. We suggest here that PHYB is a key gene involved in switchgrass natural selection. Further analyses are needed to determine whether any of the non-conservative SNPs identified play a role in the differential adaptation of upland and lowland switchgrass.

Indexed as

Genes, PlantGenetic VariationAdaptation, PhysiologicalBase SequenceBiomassChromosome MappingGene FlowGenetics, PopulationMutationPanicumPhylogeographyPolymorphism, Single NucleotidePrincipal Component AnalysisUnited StatesSingle nucleotide polymorphisms, Biomass genes, Selection, Subgenome, Population structure, Evolution

Identifiers

PMID29898656
PMCPMC6000970

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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.