Evidence map›Paper›PMID 38162921›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2023

Exploring genetic diversity and ascertaining genetic loci associated with important fruit quality traits in apple (

Poonam, Rajnish Sharma, Parul Sharma, Naveen C Sharma, Kuldeep Kumar, Krishna Nand Singh, Vinay Bhardwaj, Narender Negi, Neena Chauhan

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Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2023. 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
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

PoonamDepartment of Biotechnology, Dr YS Parmar University of Horticulture & Forestry, Solan, HP 173 230 India.
Rajnish SharmaDepartment of Biotechnology, Dr YS Parmar University of Horticulture & Forestry, Solan, HP 173 230 India.ORCID 0000-0002-3854-3014
Parul SharmaDepartment of Biotechnology, Dr YS Parmar University of Horticulture & Forestry, Solan, HP 173 230 India.
Naveen C SharmaDepartment of Fruit Science, Dr YS Parmar University of Horticulture & Forestry, Solan, HP 173 230 India.
Kuldeep KumarICAR-Indian Institute of Pulses Research, Kanpur, UP 208 024 India.
Krishna Nand SinghDepartment of Botany, University of Delhi, North Campus, New Delhi, India.
Vinay BhardwajICAR-Central Potato Research Institute, Shimla, HP 171 004 India.
Narender NegiICAR-NBPGR Regional Station, Phagli, Shimla, HP 171 004 India.
Neena ChauhanRHR&TS, Dr YS Parmar University of Horticulture & Forestry, Mashobra, Shimla, HP, 171 007 India.
Dr. Yashwant Singh Parmar University of Horticulture and Forestry · INCentral Potato Research Institute · INIndian Council of Agricultural Research · INIndian Institute of Pulses Research · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic diversity is the primary source of variability in any crop improvement program, and the diverse germplasm of any crop species represents an important genetic resource for gene or allele mining to meet future needs. Huge genetic and phenotypic diversity is present in the apple gene pool, even though, breeding programs have been mainly focused on a few traits of interests, which have resulted in the reduction of the diversity in the cultivated lines of apple. Therefore, the present study was carried out on 70 diverse apple genotypes with the objective of analyzing the genetic diversity and to identify the genetic loci associated with important fruit quality traits. A total of 140 SSR primers were used to characterize the 70 genotypes of apples, out of which only 88 SSRs were found to be polymorphic. The PIC values varied from 0.03 to 0.75. The value of MI, EMR, and RP varied from 0.03 to 3.5, 0.5 to 5.0, and 1.89 to 6.74, respectively. The dendrogram and structure analysis divided all the genotypes into two main groups. In addition to this, large phenotypic variability was observed for the fruit quality traits under study indicated the suitability of the genotypes for association studies. Altogether 71 novel MTAs were identified for 10 fruit quality traits, of which 15 for fruit length, 15 for fruit diameter, 12 for fruit weight, 2 for total sugar, 2 for TSS, 4 for reducing sugar, 5 for non-reducing sugar, 5 for fruit firmness, 5 for fruit acidity and 6 for anthocyanin, respectively. Consistent with the physicochemical evaluation of traits, there was a significant correlation coefficient among different fruit quality characters, and many common markers were found to be associated with these traits (fruit diameter, length, TSS, total sugar, acidity and anthocyanin, respectively) by using the different modeling techniques (GLM, MLM). The inferred genetic structure, diversity pattern and the identified MTAs will be serving as resourceful grounds for better predictions and understanding of apple genome towards efficient conservation and utilization of apple germplasm for facilitating genetic improvement of fruit quality traits. Furthermore, these findings also suggested that association mapping could be a viable alternative to the conventional QTL mapping approach in apple. Graphic abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-023-01382-w.

Indexed as

AppleAssociation mappingFruit quality traitsMarker-trait associationsPopulation structureSSR molecular markers

Identifiers

PMID38162921
PMCPMC10754789
OpenAlexW4388496071

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