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A Comprehensive Phenotypic Investigation of the “Pod-Shattering Syndrome” in Common Bean

Overview of attention for article published in Frontiers in Plant Science, March 2017
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Title
A Comprehensive Phenotypic Investigation of the “Pod-Shattering Syndrome” in Common Bean
Published in
Frontiers in Plant Science, March 2017
DOI 10.3389/fpls.2017.00251
Pubmed ID
Authors

Maria L. Murgia, Giovanna Attene, Monica Rodriguez, Elena Bitocchi, Elisa Bellucci, Davide Fois, Laura Nanni, Tania Gioia, Diego M. Albani, Roberto Papa, Domenico Rau

Abstract

Seed shattering in crops is a key domestication trait due to its relevance for seed dispersal, yield, and fundamental questions in evolution (e.g., convergent evolution). Here, we focused on pod shattering in common bean (Phaseolus vulgaris L.), the most important legume crop for human consuption in the world. With this main aim, we developed a methodological pipeline that comprises a thorough characterization under field conditions, including also the chemical composition and histological analysis of the pod valves. The pipeline was developed based on the assumption that the shattering trait itself can be treated in principle as a "syndrome" (i.e., a set of correlated different traits) at the pod level. We characterized a population of 267 introgression lines that were developed ad-hoc to study shattering in common bean. Three main objectives were sought: (1) to dissect the shattering trait into its "components," of level (percentage of shattering pods per plant) and mode (percentage of pods with twisting or non-twisting valves); (2) to test whether shattering is associated to the chemical composition and/or the histological characteristics of the pod valves; and (3) to test the associations between shattering and other plant traits. We can conclude the following: Very high shattering levels can be achieved in different modes; shattering resistance is mainly a qualitative trait; and high shattering levels is correlated with high carbon and lignin contents of the pod valves and with specific histological charaterstics of the ventral sheath and the inner fibrous layer of the pod wall. Our data also suggest that shattering comes with a "cost," as it is associated with low pod size, low seed weight per pod, high pod weight, and low seed to pod-valves ratio; indeed, it can be more exaustively described as a syndrome at the pod level. Our work suggests that the valve chemical composition (i.e., carbon and lignin content) can be used for a high troughput phenotyping procedures for shattering phenotyping. Finally, we believe that the application of our pipeline will greatly facilitate comparative studies among legume crops, and gene tagging.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Ph. D. Student 7 16%
Student > Bachelor 5 12%
Student > Master 5 12%
Professor 2 5%
Other 5 12%
Unknown 10 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 56%
Biochemistry, Genetics and Molecular Biology 4 9%
Unspecified 2 5%
Economics, Econometrics and Finance 1 2%
Sports and Recreations 1 2%
Other 1 2%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 April 2017.
All research outputs
#17,875,029
of 22,953,506 outputs
Outputs from Frontiers in Plant Science
#12,136
of 20,383 outputs
Outputs of similar age
#223,745
of 310,512 outputs
Outputs of similar age from Frontiers in Plant Science
#317
of 509 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,383 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 310,512 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 509 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.