↓ Skip to main content

The first SSR-based genetic linkage map for cultivated groundnut (Arachis hypogaea L.)

Overview of attention for article published in Theoretical and Applied Genetics, December 2008
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
194 Dimensions

Readers on

mendeley
127 Mendeley
Title
The first SSR-based genetic linkage map for cultivated groundnut (Arachis hypogaea L.)
Published in
Theoretical and Applied Genetics, December 2008
DOI 10.1007/s00122-008-0933-x
Pubmed ID
Authors

R. K. Varshney, D. J. Bertioli, M. C. Moretzsohn, V. Vadez, L. Krishnamurthy, R. Aruna, S. N. Nigam, B. J. Moss, K. Seetha, K. Ravi, G. He, S. J. Knapp, D. A. Hoisington

Abstract

Molecular markers and genetic linkage maps are pre-requisites for molecular breeding in any crop species. In case of peanut or groundnut (Arachis hypogaea L.), an amphidiploid (4X) species, not a single genetic map is, however, available based on a mapping population derived from cultivated genotypes. In order to develop a genetic linkage map for tetraploid cultivated groundnut, a total of 1,145 microsatellite or simple sequence repeat (SSR) markers available in public domain as well as unpublished markers from several sources were screened on two genotypes, TAG 24 and ICGV 86031 that are parents of a recombinant inbred line mapping population. As a result, 144 (12.6%) polymorphic markers were identified and these amplified a total of 150 loci. A total of 135 SSR loci could be mapped into 22 linkage groups (LGs). While six LGs had only two SSR loci, the other LGs contained 3 (LG_AhXV) to 15 (LG_AhVIII) loci. As the mapping population used for developing the genetic map segregates for drought tolerance traits, phenotyping data obtained for transpiration, transpiration efficiency, specific leaf area and SPAD chlorophyll meter reading (SCMR) for 2 years were analyzed together with genotyping data. Although, 2-5 QTLs for each trait mentioned above were identified, the phenotypic variation explained by these QTLs was in the range of 3.5-14.1%. In addition, alignment of two linkage groups (LGs) (LG_AhIII and LG_AhVI) of the developed genetic map was shown with available genetic maps of AA diploid genome of groundnut and Lotus and Medicago. The present study reports the construction of the first genetic map for cultivated groundnut and demonstrates its utility for molecular mapping of QTLs controlling drought tolerance related traits as well as establishing relationships with diploid AA genome of groundnut and model legume genome species. Therefore, the map should be useful for the community for a variety of applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 1 <1%
United States 1 <1%
Kyrgyzstan 1 <1%
Brazil 1 <1%
Unknown 123 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Researcher 29 23%
Student > Master 16 13%
Student > Doctoral Student 10 8%
Student > Postgraduate 6 5%
Other 15 12%
Unknown 21 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 69%
Biochemistry, Genetics and Molecular Biology 6 5%
Computer Science 2 2%
Environmental Science 1 <1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 6 5%
Unknown 24 19%
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 20 January 2019.
All research outputs
#3,840,788
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#519
of 3,565 outputs
Outputs of similar age
#20,550
of 170,338 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 18 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% 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 170,338 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 87% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.