Evidence mapPaperPMID 41272450Full record

ArticleBMC genomics2025

Emanating candidate genes responsible for fruit quality traits in citrus through GBS-based genome wide association studies.

Hanu Bala, Maninder Kaur, Pooja Manchanda, Gurteg Singh Uppal, Palvi Malik, Gurupkar Singh Sidhu, Yogesh Vikal

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Hanu BalaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Maninder KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Pooja ManchandaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India. poojamanchanda5@pau.edu.
Gurteg Singh UppalDepartment of Fruit Science, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Palvi MalikGurdev Singh Khush Institute of Genetics, Plant Breeding and Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Gurupkar Singh SidhuSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Yogesh VikalSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.

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6 · The paper itself

Abstract

backgroundHigh throughput genotyping-by-sequencing (GBS) and genome-wide association studies (GWAS) serve as two powerful approaches to delineate the complexity of the biology among citrus genera. The most attributable character in citrus is the fruit quality which is determined by the combination of physical and chemical traits contributing towards the ripening phase, hence crop improvement. Both GBS and GWAS were employed on highly diverse eighty-two different citrus genotypes to study twenty-three fruit quality traits aiming towards the genetic improvement of citrus fruit traits.

resultsGBS generated 215 million-reads covering 38.78Gb of sequence data, with an average of 2.8 million-reads per sample. Eventually, 44,229 high-confidence SNPs were found that spanned on the all the chromosomes from 1 to 9 which were further used for GWAS analysis. Association mapping resulted in the detection of 354 significant loci linked to twenty-three fruit quality traits. Thirty-six pleiotropic SNPs were found and more genetic loci were found to be associated with mesocarp width (MS), seed weight per fruit (SW), juice content in endocarp (JCE), average number of seeds per fruit (ANSF), leaf lamina length (LLL), leaf lamina width (LLW) and ratio of leaf length to leaf width (RLW) on chromosome 5. Twelve candidate genes associated within the 5 Mb linkage disequilibrium (LD) region of these 36 pleiotropic quantitative trait nucleotides (QTNs) were reported. These candidate genes were associated with the fruit quality traits viz. MS, JCE, fruit weight (FW), SW, ANSF, average number of segments per fruit (NSPF), PC, JCE, LLL, LLW and RLW in citrus. We found that the majorly identified candidate gene with loci Cs2g_pb011080 and Cs7g_pb024190 were responsible for controlling pleotropic traits i.e. MS, PC and JCE exhibiting oxidoreductase activity, vital for reducing the bitterness in citrus and promoting fruit quality among citrus genera.

conclusionsThis study suggested that the identified significant loci could be exploited for the selection of desirable character at early stages in future citrus breeding programmes promoting fruit quality attributes leading to accelerated acceptability of citrus.

Indexed as

CitrusFruitGenes, PlantGenome-Wide Association StudyQuantitative Trait, HeritableChromosome MappingGenotypeHigh-Throughput Nucleotide SequencingLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociCitrusFruit quality traitsGenome-wide association mapping (GWAS)Genotyping by sequencing (GBS)Pleiotropic SNPsP-value

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PMID41272450
PMCPMC12750557

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