Evidence map›Paper›PMID 27155886›Full record

ArticleGenetica2016

Comparative assessment of genetic diversity in cytoplasmic and nuclear genome of upland cotton.

Sharof S Egamberdiev, Sukumar Saha, Ilkhom Salakhutdinov, Johnie N Jenkins, Dewayne Deng, Ibrokhim Y Abdurakhmonov

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Article in Genetica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sharof S EgamberdievCenter of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan, 111215.
Sukumar SahaCrop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS, 39762, USA. Sukumar.saha@ars.usda.gov.
Ilkhom SalakhutdinovCenter of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan, 111215.
Johnie N JenkinsCrop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS, 39762, USA.
Dewayne DengCrop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS, 39762, USA.
Ibrokhim Y AbdurakhmonovCenter of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan, 111215.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of the cytoplasmic genome for many economically important traits is well documented in several crop species, including cotton. There is no report on application of cotton chloroplast specific SSR markers as a diagnostic tool to study genetic diversity among improved Upland cotton lines. The complete plastome sequence information in GenBank provided us an opportunity to report on 17 chloroplast specific SSR markers using a cost-effective data mining strategy. Here we report the comparative analysis of genetic diversity among a set of 42 improved Upland cotton lines using SSR markers specific to chloroplast and nuclear genome, respectively. Our results revealed that low to moderate level of genetic diversity existed in both nuclear and cytoplasm genome among this set of cotton lines. However, the specific estimation suggested that genetic diversity is lower in cytoplasmic genome compared to the nuclear genome among this set of Upland cotton lines. In summary, this research is important from several perspectives. We detected a set of cytoplasm genome specific SSR primer pairs by using a cost-effective data mining strategy. We reported for the first time the genetic diversity in the cytoplasmic genome within a set of improved Upland cotton accessions. Results revealed that the genetic diversity in cytoplasmic genome is narrow, compared to the nuclear genome within this set of Upland cotton accessions. Our results suggested that most of these polymorphic chloroplast SSRs would be a valuable complementary tool in addition to the nuclear SSR in the study of evolution, gene flow and genetic diversity in Upland cotton.

Indexed as

Genetic VariationGenome, ChloroplastGenome, PlantAllelesGene FrequencyGossypiumMicrosatellite RepeatsPhylogenyChloroplast specific SSR markersCytoplasmic genomeGenetic diversityNuclear SSR markersUpland cotton

Identifiers

PMID27155886

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.