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Genome and transcriptome analysis of the Mesoamerican common bean and the role of gene duplications in establishing tissue and temporal specialization of genes

Overview of attention for article published in Genome Biology, February 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
15 news outlets
blogs
1 blog
twitter
47 X users
facebook
4 Facebook pages

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
296 Mendeley
citeulike
3 CiteULike
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Title
Genome and transcriptome analysis of the Mesoamerican common bean and the role of gene duplications in establishing tissue and temporal specialization of genes
Published in
Genome Biology, February 2016
DOI 10.1186/s13059-016-0883-6
Pubmed ID
Authors

Anna Vlasova, Salvador Capella-Gutiérrez, Martha Rendón-Anaya, Miguel Hernández-Oñate, André E. Minoche, Ionas Erb, Francisco Câmara, Pablo Prieto-Barja, André Corvelo, Walter Sanseverino, Gastón Westergaard, Juliane C. Dohm, Georgios J. Pappas, Soledad Saburido-Alvarez, Darek Kedra, Irene Gonzalez, Luca Cozzuto, Jessica Gómez-Garrido, María A. Aguilar-Morón, Nuria Andreu, O. Mario Aguilar, Jordi Garcia-Mas, Maik Zehnsdorf, Martín P. Vázquez, Alfonso Delgado-Salinas, Luis Delaye, Ernesto Lowy, Alejandro Mentaberry, Rosana P. Vianello-Brondani, José Luís García, Tyler Alioto, Federico Sánchez, Heinz Himmelbauer, Marta Santalla, Cedric Notredame, Toni Gabaldón, Alfredo Herrera-Estrella, Roderic Guigó

Abstract

Legumes are the third largest family of angiosperms and the second most important crop class. Legume genomes have been shaped by extensive large-scale gene duplications, including an approximately 58 million year old whole genome duplication shared by most crop legumes. We report the genome and the transcription atlas of coding and non-coding genes of a Mesoamerican genotype of common bean (Phaseolus vulgaris L., BAT93). Using a comprehensive phylogenomics analysis, we assessed the past and recent evolution of common bean, and traced the diversification of patterns of gene expression following duplication. We find that successive rounds of gene duplications in legumes have shaped tissue and developmental expression, leading to increased levels of specialization in larger gene families. We also find that many long non-coding RNAs are preferentially expressed in germ-line-related tissues (pods and seeds), suggesting that they play a significant role in fruit development. Our results also suggest that most bean-specific gene family expansions, including resistance gene clusters, predate the split of the Mesoamerican and Andean gene pools. The genome and transcriptome data herein generated for a Mesoamerican genotype represent a counterpart to the genomic resources already available for the Andean gene pool. Altogether, this information will allow the genetic dissection of the characters involved in the domestication and adaptation of the crop, and their further implementation in breeding strategies for this important crop.

X Demographics

X Demographics

The data shown below were collected from the profiles of 47 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 4 1%
Mexico 3 1%
Argentina 2 <1%
Italy 1 <1%
Finland 1 <1%
Netherlands 1 <1%
Colombia 1 <1%
Japan 1 <1%
United States 1 <1%
Other 0 0%
Unknown 281 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 17%
Student > Master 49 17%
Researcher 45 15%
Student > Doctoral Student 31 10%
Student > Bachelor 19 6%
Other 49 17%
Unknown 54 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 161 54%
Biochemistry, Genetics and Molecular Biology 49 17%
Environmental Science 6 2%
Computer Science 4 1%
Business, Management and Accounting 3 1%
Other 12 4%
Unknown 61 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 149. 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 15 December 2016.
All research outputs
#281,769
of 26,017,215 outputs
Outputs from Genome Biology
#110
of 4,513 outputs
Outputs of similar age
#4,877
of 316,365 outputs
Outputs of similar age from Genome Biology
#3
of 65 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has done particularly well, scoring higher than 97% 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 316,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.