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      Co-localization of quantitative trait loci for pod and kernel traits and development of molecular marker for kernel weight on chromosome Arahy05 in peanut ( Arachis hypogaea L.)

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          Abstract

          Key message

          Stable QTL for pod and kernel traits were co-localized on chromosome Arahy05, and an INDEL marker at 106,411,957 on Arahy05 was developed and validated to be useful for marker-assisted selection of kernel weight.

          Abstract

          Pod and kernel traits, such as hundred pod weight (HPW), and hundred kernel weight (HKW), along with pod and kernel sizes, are pivotal determinants of yield in peanut breeding programs. This study sought to identify quantitative trait loci (QTL) that are associated with these pod and kernel traits in peanuts. To achieve this, a recombinant inbred line (RIL) population, was derived from a cross between Yuhua15, a cultivar known for its high yield, and a germplasm accession W1202. The investigation uncovered stable and major QTL that are significantly associated with both pod and kernel weight and were consistently co-localized on chromosomes Arahy05 and Arahy08. Furthermore, an INDEL marker was identified and characterized in the QTL interval on Arahy05. An extensive re-sequencing analysis comprising 395 germplasm accessions led to the discovery of two principal haplotypes within a 500-kb window flanking the aforementioned INDEL marker. The haplotypes exhibited a significant correlation with the HKW in our diverse panel of germplasm accessions. Notably, the 170 accessions harboring the haplotype associated with an increased HKW primarily represented botanical varieties, specifically Arachis hypogaea var. hypogaea and A. hypogaea var. hirsuta. On the other hand, the 137 accessions associated with the alternative haplotype, which corresponded to a reduced HKW, were predominately identified as belonging to botanical varieties within A. hypogaea subsp. fastigiata. The INDEL marker located on Arahy05, which demonstrates close linkage to the pod and kernel traits, would be an efficient approach for marker-assisted selection (MAS) of pod and kernel weight in breeding programs.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00122-024-04749-z.

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          Most cited references29

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          A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.

          We describe a new computer program, SnpEff, for rapidly categorizing the effects of variants in genome sequences. Once a genome is sequenced, SnpEff annotates variants based on their genomic locations and predicts coding effects. Annotated genomic locations include intronic, untranslated region, upstream, downstream, splice site, or intergenic regions. Coding effects such as synonymous or non-synonymous amino acid replacement, start codon gains or losses, stop codon gains or losses, or frame shifts can be predicted. Here the use of SnpEff is illustrated by annotating ~356,660 candidate SNPs in ~117 Mb unique sequences, representing a substitution rate of ~1/305 nucleotides, between the Drosophila melanogaster w(1118); iso-2; iso-3 strain and the reference y(1); cn(1) bw(1) sp(1) strain. We show that ~15,842 SNPs are synonymous and ~4,467 SNPs are non-synonymous (N/S ~0.28). The remaining SNPs are in other categories, such as stop codon gains (38 SNPs), stop codon losses (8 SNPs), and start codon gains (297 SNPs) in the 5'UTR. We found, as expected, that the SNP frequency is proportional to the recombination frequency (i.e., highest in the middle of chromosome arms). We also found that start-gain or stop-lost SNPs in Drosophila melanogaster often result in additions of N-terminal or C-terminal amino acids that are conserved in other Drosophila species. It appears that the 5' and 3' UTRs are reservoirs for genetic variations that changes the termini of proteins during evolution of the Drosophila genus. As genome sequencing is becoming inexpensive and routine, SnpEff enables rapid analyses of whole-genome sequencing data to be performed by an individual laboratory.
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            MapChart: software for the graphical presentation of linkage maps and QTLs.

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              QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations

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                Author and article information

                Contributors
                huangbingyan@aliyun.com
                haasz@126.com
                Journal
                Theor Appl Genet
                Theor Appl Genet
                TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0040-5752
                1432-2242
                9 October 2024
                9 October 2024
                2024
                : 137
                : 11
                : 250
                Affiliations
                [1 ]College of Agriculture, Nanjing Agricultural University, ( https://ror.org/05td3s095) Nanjing, 210095 China
                [2 ]GRID grid.495707.8, ISNI 0000 0001 0627 4537, Henan Academy of Agricultural Sciences/Henan Institute of Crop Molecular Breeding/Shennong Laboratory/Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, ; Zhengzhou, 450002 China
                [3 ]Shangqiu Academy of Agriculture and Forestry, Shangqiu, 476002 China
                Author notes

                Communicated by Janila Pasupuleti.

                Author information
                http://orcid.org/0000-0002-1942-997X
                Article
                4749
                10.1007/s00122-024-04749-z
                11464562
                39384636
                93d17131-9add-4076-9c8f-4ddbbf46688e
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 30 November 2023
                : 18 September 2024
                Funding
                Funded by: National Key R &D Project
                Award ID: 2022YFD1200400
                Award Recipient :
                Funded by: China Agriculture Research System
                Award ID: CARS-13
                Award Recipient :
                Funded by: Major Science and Technology Projects of Henan Province
                Award ID: 201300111000
                Award Recipient :
                Funded by: Henan Provincial R&D Projects of Interregional Cooperation for Local Scientific and Technological Development Guided by Central Government
                Award ID: YDZX20214100004191
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2024

                Genetics
                Genetics

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