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Exploring structural variation and gene family architecture with De Novo assemblies of 15 Medicago genomes

Overview of attention for article published in BMC Genomics, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Exploring structural variation and gene family architecture with De Novo assemblies of 15 Medicago genomes
Published in
BMC Genomics, March 2017
DOI 10.1186/s12864-017-3654-1
Pubmed ID
Authors

Peng Zhou, Kevin A. T. Silverstein, Thiruvarangan Ramaraj, Joseph Guhlin, Roxanne Denny, Junqi Liu, Andrew D. Farmer, Kelly P. Steele, Robert M. Stupar, Jason R. Miller, Peter Tiffin, Joann Mudge, Nevin D. Young

Abstract

Previous studies exploring sequence variation in the model legume, Medicago truncatula, relied on mapping short reads to a single reference. However, read-mapping approaches are inadequate to examine large, diverse gene families or to probe variation in repeat-rich or highly divergent genome regions. De novo sequencing and assembly of M. truncatula genomes enables near-comprehensive discovery of structural variants (SVs), analysis of rapidly evolving gene families, and ultimately, construction of a pan-genome. Genome-wide synteny based on 15 de novo M. truncatula assemblies effectively detected different types of SVs indicating that as much as 22% of the genome is involved in large structural changes, altogether affecting 28% of gene models. A total of 63 million base pairs (Mbp) of novel sequence was discovered, expanding the reference genome space for Medicago by 16%. Pan-genome analysis revealed that 42% (180 Mbp) of genomic sequences is missing in one or more accession, while examination of de novo annotated genes identified 67% (50,700) of all ortholog groups as dispensable - estimates comparable to recent studies in rice, maize and soybean. Rapidly evolving gene families typically associated with biotic interactions and stress response were found to be enriched in the accession-specific gene pool. The nucleotide-binding site leucine-rich repeat (NBS-LRR) family, in particular, harbors the highest level of nucleotide diversity, large effect single nucleotide change, protein diversity, and presence/absence variation. However, the leucine-rich repeat (LRR) and heat shock gene families are disproportionately affected by large effect single nucleotide changes and even higher levels of copy number variation. Analysis of multiple M. truncatula genomes illustrates the value of de novo assemblies to discover and describe structural variation, something that is often under-estimated when using read-mapping approaches. Comparisons among the de novo assemblies also indicate that different large gene families differ in the architecture of their structural variation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 26%
Student > Ph. D. Student 18 17%
Student > Master 11 11%
Student > Bachelor 8 8%
Other 7 7%
Other 16 15%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 47%
Biochemistry, Genetics and Molecular Biology 18 17%
Computer Science 7 7%
Economics, Econometrics and Finance 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 6 6%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 March 2019.
All research outputs
#2,461,581
of 24,397,600 outputs
Outputs from BMC Genomics
#700
of 10,971 outputs
Outputs of similar age
#45,964
of 312,881 outputs
Outputs of similar age from BMC Genomics
#26
of 202 outputs
Altmetric has tracked 24,397,600 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,971 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.