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Morphological and Molecular Data Reveal Three Distinct Populations of Indian Wild Rice Oryza rufipogon Griff. Species Complex

Overview of attention for article published in Frontiers in Plant Science, February 2018
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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11 X users

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Title
Morphological and Molecular Data Reveal Three Distinct Populations of Indian Wild Rice Oryza rufipogon Griff. Species Complex
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00123
Pubmed ID
Authors

Balwant Singh, Nisha Singh, Shefali Mishra, Kabita Tripathi, Bikram P. Singh, Vandna Rai, Ashok K. Singh, Nagendra K. Singh

Abstract

Wild relatives of crops possess adaptive mutations for agronomically important traits, which could play significant role in crop improvement for sustainable agriculture. However, global climate change and human activities pose serious threats to the natural habitats leading to erosion of genetic diversity of wild rice populations. The purpose of this study was to explore and characterize India's huge untapped wild rice diversity inOryza rufipogonGriff. species complex from a wide range of ecological niches. We made strategic expeditions around diversity hot spots in 64 districts of nine different agro-climatic zones of the country and collected 418 wild rice accessions. Significant variation was observed among the accessions for 46 morphological descriptors, allowing classification intoO. nivara, O. rufipogon, andO. sativa f. spontaneamorpho-taxonomic groups. Genome-specificpSINE1markers confirmed all the accessions having AA genome, which were further classified using ecotype-specificpSINE1markers into annual, perennial, intermediate, and an unknown type. Principal component analysis revealed continuous variation for the morphological traits in each ecotype group. Genetic diversity analysis based on multi-allelic SSR markers clustered these accessions into three major groups and analysis of molecular variance for nine agro-climatic zones showed that 68% of the genetic variation was inherent amongst individuals while only 11% of the variation separated the zones, though there was significant correlation between genetic and spatial distances of the accessions. Model based population structure analysis using genome wide bi-allelic SNP markers revealed three sub-populations designated 'Pro-Indica,' 'Pro-Aus,' and 'Mid-Gangetic,' which showed poor correspondence with the morpho-taxonomic classification orpSINE1ecotypes. There was Pan-India distribution of the 'Pro-Indica' and 'Pro-Aus' sub-populations across agro-climatic zones, indicating a more fundamental grouping based on the ancestry closely related to 'Indica' and 'Aus' groups of rice cultivars. The Pro-Indica population has substantial presence in the Eastern Himalayan Region and Lower Gangetic Plains, whereas 'Pro-Aus' sub-population was predominant in the Upper Gangetic Plains, Western Himalayan Region, Gujarat Plains and Hills, and Western Coastal Plains. In contrast 'Mid-Gangetic' population was largely concentrated in the Mid Gangetic Plains. The information presented here will be useful in the utilization of wild rice resources for varietal improvement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 10 21%
Other 4 9%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 45%
Biochemistry, Genetics and Molecular Biology 3 6%
Environmental Science 2 4%
Engineering 2 4%
Social Sciences 2 4%
Other 4 9%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 March 2018.
All research outputs
#3,631,940
of 23,020,670 outputs
Outputs from Frontiers in Plant Science
#1,776
of 20,541 outputs
Outputs of similar age
#81,494
of 437,836 outputs
Outputs of similar age from Frontiers in Plant Science
#54
of 439 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,541 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 91% 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 437,836 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 81% of its contemporaries.
We're also able to compare this research output to 439 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.