Evidence map›Paper›PMID 39506650›Full record

ArticleBMC genomics2024

Genetic diversity assessment of cucumber landraces using molecular signatures.

Muhammad Sarmad Iftikhar, Hafiza Masooma Naseer Cheema, Asif Ali Khan, Ian Henson DeLacy, Kaye Enid Basford

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Muhammad Sarmad IftikharDepartment of Plant Breeding and Genetics, University of Agriculture Faisalabad, Faisalabad, 38000, Pakistan. m.sarmad@uaf.edu.pk.ORCID https://orcid.org/0000-0003-3376-4712
Hafiza Masooma Naseer CheemaSchool of Biosciences, The University of Melbourne, Parkville, 3052, Australia.
Asif Ali KhanDepartment of Plant Breeding and Genetics, Muhammad Nawaz Sharif University of Agriculture Multan, Multan, 60000, Pakistan.
Ian Henson DeLacySchool of Agriculture and Food Sustainability, The University of Queensland, Brisbane, 4072, Australia.
Kaye Enid BasfordSchool of Agriculture and Food Sustainability, The University of Queensland, Brisbane, 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic profiling of the biodiversity in cultivated crop plants is necessary to preserve important genes and utilize them in a breeding program. Cucumber is used as a model plant to study various characteristics of Cucurbitaceae. Its adaptation to a wide range of climatic conditions suggested analyzing the landraces. The present study was conducted to evaluate the differences, at the genetic level, among landraces spanning five continents. DNA extracted from fifty-six landraces selected from USDA germplasm bank to cover a global representative sample of world cucumber landraces was used for polymerase chain reaction using twenty-eight polymorphic expressed sequence tags simple sequence repeat (EST-SSR) markers. Twenty-eight EST-SSR markers covering all seven chromosomes yielded 98 bands with an average of 3.42 bands per marker. Polymorphic information content ranged from 0.00 (EC35) to 0.74 (EC17) with an average of 0.34. Six clusters provided an appropriate summary of the variation among the landraces, with the two largest groups including 32 (Asiatic) and 17 (European and American) landraces, respectively. Four small groups, three with two members, and one with one member (PI 525155-Egypt) were dissimilar to the two main groups. Landraces from the same region were often clustered together. Genetic similarity of the landraces was revealed by marker banding patterns. The locations of genetic diversity for cucumber landraces can be identified from this study.

Indexed as

Cucumis sativusGenetic VariationMicrosatellite RepeatsExpressed Sequence TagsGenetic MarkersPhylogenyPolymorphism, GeneticGenetic MarkersCucumberCucumis sativusEST-SSRGenetic diversityLandraces

Identifiers

PMID39506650
PMCPMC11539674

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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.