Evidence map›Paper›PMID 33668962›Full record

ArticleGenes2021

Genetic Diversity and Population Structure Analysis of

Muhammad Massub Tehseen, Deniz Istipliler, Zakaria Kehel, Carolina P Sansaloni, Marta da Silva Lopes, Ezgi Kurtulus, Sana Muazzam, Kumarse Nazari

Abstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed.

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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

8 authors.

Muhammad Massub TehseenDepartment of Field Crops, Ege University, Bornova, Izmir 35100, Turkey.ORCID 0000-0003-0429-2269
Deniz IstiplilerDepartment of Field Crops, Ege University, Bornova, Izmir 35100, Turkey.
Zakaria KehelInternational Center for Agricultural Research in the Dry Areas (ICARDA), ICARDA-PreBreeding & Genebank Operations, Rabat 10000, Morocco.
Carolina P SansaloniInternational Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco C.P. 56237, Mexico.
Marta da Silva LopesIRTA (Institute for Food and Agricultural Research and Technology), 25198 Lleida, Spain.
Ezgi KurtulusInternational Center for Agricultural Research in the Dry Areas (ICARDA), Turkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Menemen, Izmir 35661, Turkey.ORCID 0000-0002-8735-8704
Sana MuazzamDepartment of Plant Breeding and Genetics, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.ORCID 0000-0002-3667-2373
Kumarse NazariInternational Center for Agricultural Research in the Dry Areas (ICARDA), Turkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Menemen, Izmir 35661, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landraces are a potential source of genetic diversity and provide useful genetic resources to cope with the current and future challenges in crop breeding. Afghanistan is located close to the centre of origin of hexaploid wheat. Therefore, understanding the population structure and genetic diversity of Afghan wheat landraces is of enormous importance in breeding programmes for the development of high-yielding cultivars as well as broadening the genetic base of bread wheat. Here, a panel of 363 bread wheat landraces collected from seven north and north-eastern provinces of Afghanistan were evaluated for population structure and genetic diversity using single nucleotide polymorphic markers (SNPs). The genotyping-by-sequencing of studied landraces after quality control provided 4897 high-quality SNPs distributed across the genomes A (33.75%), B (38.73%), and D (27.50%). The population structure analysis was carried out by two methods using model-based STRUCTURE analysis and cluster-based discriminant analysis of principal components (DAPC). The analysis of molecular variance showed a higher proportion of variation within the sub-populations compared with the variation observed as a whole between sub-populations. STRUCTURE and DAPC analysis grouped the majority of the landraces from Badakhshan and Takhar together in one cluster and the landraces from Baghlan and Kunduz in a second cluster, which is in accordance with the micro-climatic conditions prevalent within the north-eastern agro-ecological zone. Genetic distance analysis was also studied to identify differences among the Afghan regions; the strongest correlation was observed for the Badakhshan and Takhar (0.003), whereas Samangan and Konarha (0.399) showed the highest genetic distance. The population structure and genetic diversity analysis highlighted the complex genetic variation present in the landraces which were highly correlated to the geographic origin and micro-climatic conditions within the agro-climatic zones of the landraces. The higher proportions of admixture could be attributed to historical unsupervised exchanges of seeds between the farmers of the central and north-eastern provinces of Afghanistan. The results of this study will provide useful information for genetic improvement in wheat and is essential for association mapping and genomic prediction studies to identify novel sources for resistance to abiotic and biotic stresses.

Indexed as

Polymorphism, Single NucleotideAfghanistanChromosome MappingDNA, PlantEvolution, MolecularLinkage DisequilibriumPhylogenyPlant BreedingSequence Analysis, DNATriticumDNA, PlantAfghan wheat landracesgenetic diversitypopulation structure

Identifiers

PMID33668962
PMCPMC7996569

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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.