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Bulked sample analysis in genetics, genomics and crop improvement

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TLDR
Biological assay has been based on analysis of all individuals collected from sample populations, finding that bulked sample analysis will facilitate plant breeding through development of diagnostic and constitutive markers, agronomic genomics, marker‐assisted selection and selective phenotyping.
Abstract
Biological assay has been based on analysis of all individuals collected from sample populations. Bulked sample analysis (BSA), which works with selected and pooled individuals, has been extensively used in gene mapping through bulked segregant analysis with biparental populations, mapping by sequencing with major gene mutants and pooled genomewide association study using extreme variants. Compared to conventional entire population analysis, BSA significantly reduces the scale and cost by simplifying the procedure. The bulks can be built by selection of extremes or representative samples from any populations and all types of segregants and variants that represent wide ranges of phenotypic variation for the target trait. Methods and procedures for sampling, bulking and multiplexing are described. The samples can be analysed using individual markers, microarrays and high-throughput sequencing at all levels of DNA, RNA and protein. The power of BSA is affected by population size, selection of extreme individuals, sequencing strategies, genetic architecture of the trait and marker density. BSA will facilitate plant breeding through development of diagnostic and constitutive markers, agronomic genomics, marker-assisted selection and selective phenotyping. Applications of BSA in genetics, genomics and crop improvement are discussed with their future perspectives.

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Journal ArticleDOI

Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives

TL;DR: It is proposed that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops.
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Enhancing genetic gain in the era of molecular breeding

TL;DR: All the strategies can be integrated with other widely used conventional approaches in breeding programs to enhance genetic gain and more transdisciplinary approaches, team breeding, will be required to address the challenge of maintaining a plentiful and safe food supply for future generations.
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Genetic mapping of quantitative trait loci in crops

TL;DR: This review of the advances and limitations of family-based mapping and natural population- based mapping instead of linkage mapping and association mapping describes statistical methods used for improving detection power and computational speed and outlines emerging areas such as large-scale meta-analysis for genetic mapping in crops.
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Conventional and Molecular Techniques from Simple Breeding to Speed Breeding in Crop Plants: Recent Advances and Future Outlook

TL;DR: Recent findings on several aspects of crop breeding are summarized to describe the evolution of plant breeding practices, from traditional to modern speed breeding combined with genome editing tools, which aim to produce crop generations with desired traits annually.
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Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants.

TL;DR: Large-scale application of genomic selection in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects, along with significant cost reduction.
References
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Journal ArticleDOI

RNA-Seq: a revolutionary tool for transcriptomics

TL;DR: The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
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Developing and evaluating complex interventions: The new Medical Research Council guidance

TL;DR: The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task and now the council has updated its guidance.
Journal ArticleDOI

A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species

TL;DR: A procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs) is reported, which is simple, quick, extremely specific, highly reproducible, and may reach important regions of the genome that are inaccessible to sequence capture approaches.
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Quantitative analysis of complex protein mixtures using isotope-coded affinity tags

TL;DR: An approach for the accurate quantification and concurrent sequence identification of the individual proteins within complex mixtures based on isotope-coded affinity tags and tandem mass spectrometry is described.
Journal ArticleDOI

Mapping mendelian factors underlying quantitative traits using rflp linkage maps

TL;DR: In this paper, a set of analytical methods that modify and extend the classical theory for mapping such quantitative trait loci (QTLs) are described, and explicit graphs are provided that allow experimental geneticists to estimate, in any particular case, the number of progeny required to map QTLs underlying a quantitative trait.
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