ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020
Fine mapping and gene cloning in the post-NGS era: advances and prospects.
Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
What it found
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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.
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Who cites it
52 citing papers in PubMed, 149 citations in OpenAlex.
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- Genomics-driven discovery of superior alleles and genes for yellow rust resistance in wheat.Nature genetics · 2025Article
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- Deciphering the regulatory network of lignocellulose biosynthesis in bread wheat through genome-wide association studies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement.Plants (Basel, Switzerland) · 2024Review
- A landscape of resistance gene analogs in sour cherry (Prunus cerasus L.).BMC research notes · 2024Article
- A Study on Genetically Engineered Foods: Need, Benefits, Risk, and Current Knowledge.Cell biochemistry and biophysics · 2024Review
- Genome-wide association study and selective sweep analysis uncover candidate genes controlling curd branch length in cauliflower.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Mining for QTL controlling maize low-phosphorus response genes combined with deep resequencing of RIL parental genomes and in silico GWAS analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
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- Application of bulk segregant RNA-Seq (BSR-Seq) and allele-specific primers to study soybean powdery mildew resistance.BMC plant biology · 2024Article
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- Integration of miRNA dynamics and drought tolerant QTLs in rice reveals the role of miR2919 in drought stress response.BMC genomics · 2023Article
- Genome-wide discovery of di-nucleotide SSR markers based on whole genome re-sequencing data of Cicer arietinum L. and Cicer reticulatum Ladiz.Scientific reports · 2023Article
- Genome engineering of disease susceptibility genes for enhancing resistance in plants.Functional & integrative genomics · 2023Review
- Breeding and Genomic Approaches towards Development of Fusarium Wilt Resistance in Chickpea.Life (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Improvement in traits of agronomic importance is the top breeding priority of crop improvement programs. Majority of these agronomic traits show complex quantitative inheritance. Identification of quantitative trait loci (QTLs) followed by fine mapping QTLs and cloning of candidate genes/QTLs is central to trait analysis. Advances in genomic technologies revolutionized our understanding of genetics of complex traits, and genomic regions associated with traits were employed in marker-assisted breeding or cloning of QTLs/genes. Next-generation sequencing (NGS) technologies have enabled genome-wide methodologies for the development of ultra-high-density genetic linkage maps in different crops, thus allowing placement of candidate loci within few kbs in genomes. In this review, we compare the marker systems used for fine mapping and QTL cloning in the pre- and post-NGS era. We then discuss how different NGS platforms in combination with advanced experimental designs have improved trait analysis and fine mapping. We opine that efficient genotyping/sequencing assays may circumvent the need for cumbersome procedures that were earlier used for fine mapping. A deeper understanding of the trait architectures of agricultural significance will be crucial to accelerate crop improvement.
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Registered trials
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.