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@yongfengzhou.bsky.social

Professor at AGIS, CAAS. #Population_genetics, #Viticulture, #Grapevine, #Perennial_crops #Domestication, #Structural_variation, #Genomic_breeding

38 Followers  |  150 Following  |  10 Posts  |  Joined: 24.01.2025  |  1.839

Latest posts by yongfengzhou.bsky.social on Bluesky

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The haplotype-resolved telomere-to-telomere genome and OMICS analyses reveal genetic responses to tapping in rubber tree - Nature Communications Authors report the assembly of the haplotype-resolved and telomere-to-telomere genome of a key rubber tree variety and uncover major structural variations. It is also revealed that jasmonic acid enhan...

www.nature.com/articles/s41...

11.07.2025 01:30 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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A trans-long-chain prenyl diphosphate synthase promotes ubiquinone 10 biosynthesis in grape VvPDS is an authentic trans-long-chain prenyl diphosphate synthase and is involved in ubiquinone 10 (UQ10) biosynthesis.

trans-long-chain prenyl diphosphate synthase promotes ubiquinone 10 biosynthesis in grape url: academic.oup.com/plphys/artic...

26.06.2025 01:37 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Deep learning empowers genomic selection of pest-resistant grapevine Abstract. Crop pests significantly reduce crop yield and threaten global food security. Conventional pest control relies heavily on insecticides, leading t

Deep learning empowers genomic selection of pest-resistant grapevine academic.oup.com/hr/article/d... @ashs-hort.bsky.social @horticulturer.bsky.social @grapechann.bsky.social @rvkgrapevine.bsky.social

08.05.2025 02:04 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
PanTE: A Comprehensive Framework for Transposable Element Discovery in Graph-based Pangenomes Transposable element (TE) annotation is crucial for understanding genetics, genomics and evolution, yet current methods struggle to identify TEs in graph-based pangenomes. We developed a framework Pan...

PanTE: A Comprehensive Framework for Transposable Element Discovery in Graph-based Pangenomes www.researchsquare.com/article/rs-5...

23.04.2025 07:32 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Redirecting

Population genomics of Vitis pseudoreticulata reveals the genetic basis of fungal resistance in grapevine:
doi.org/10.1016/j.hp...

22.04.2025 15:28 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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The dynamics of wild Vitis species in response to climate change facilitate the breeding of grapevine and its rootstocks with climate resilience Abstract. Climate change presents significant challenges to agricultural suitability and food security, largely due to the limited adaptability of domestic

The dynamics of wild Vitis species in response to climate change facilitate the breeding of grapevine and its rootstocks with climate resilience doi.org/10.1093/hr/u...

22.04.2025 15:26 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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A century of theories of balancing selection Traits that affect organismal fitness are often very genetically variable. This genetic variation is vital for populations to adapt to their environments, but it is also surprising given that nature (after all) β€³selectsβ€³ the best genotypes at the expense of those that fall short. Explaining the extensive genetic variation of fitness-related traits is thus a longstanding puzzle in evolutionary biology, with cascading implications for ecology, conservation, and human health. Balancing selectionβ€”an umbrella term for scenarios of natural selection that maintain genetic variationβ€”is a century-old explanation to resolve this paradox that has gained recent momentum from genome-scale methods for detecting it. Yet evaluating whether balancing selection can, in fact, resolve the paradox is challenging, given the logistical constraints of distinguishing balancing selection from alternative hypotheses and the daunting collection of theoretical models that formally underpin this debate. Here, we track the development of balancing selection theory over the last century and provide an accessible review of this rich collection of models. We first outline the range of biological scenarios that can generate balancing selection. We then examine how fundamental features of genetic systemsβ€”including non-random mating between individuals, differences in ploidy, genetic drift, and different genetic architectures of traitsβ€”have been progressively incorporated into the theory. We end by linking these theoretical predictions to ongoing empirical efforts to understand the evolutionary processes that explain genetic variation. ### Competing Interest Statement We declare no competing interests. Please note that this manuscript includes aspects of narrative review, but also new and confirmatory results that can be found in the Supplemental materials.

Happy to share our latest pre-print on a century of theories of balancing selection. A great international collaboration funded by #eseb #Evolution #EvolutionaryBiology #population_genetics

https://www.biorxiv.org/content/10.1101/2025.02.12.637871v1

14.02.2025 17:35 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Impacts of reproductive systems on grapevine genome and breeding - Nature Communications Effects of reproductive systems on crop genomic variation and breeding remain unclear. Here, the authors report that reproductive types impact genomic landscapes and grapevine breeding based on compar...

We discovered that the reproductive types, namely, crossing, selfing, and cloning, dramatically impact genomic landscapes and grapevine breeding. @nature.com @natureportfolio.nature.com @naturecomms.bsky.social

03.03.2025 13:39 β€” πŸ‘ 8    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

#Clonal crops, such as #grapevine and #potato have amplified genomic #heterozygosity in clonal propagation, we studied #genetic & #epigenetic landscapes of #hemizygous genes in #crops with contrasting reproductive systems.
@pnas.org @grape0.bsky.social www.pnas.org/doi/abs/10.1...

11.02.2025 08:55 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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A genomic variation map provides insights into potato evolution and key agronomic traits Short summary: By resequencing 314 diploid wild and landrace potato accessions, our study reports the domestication, differentiation and introgression of this important crop. Further analysis unveiled...

A genomic variation map provides insights into potato evolution and key agronomic traits: Molecular Plant www.cell.com/molecular-pl...

30.01.2025 12:33 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Grapevine pangenome facilitates trait genetics and genomic breeding - Nature Genetics By constructing a graph-based grapevine pangenome reference (Grapepan v.1.0) and incorporating structural variations and phenotypic maps, the study investigates the genetic basis of agronomic traits, ...

We build a pangenome reference to study the genetic basis of agronomic traits and to establish GS models for grapevine breeding doi.org/10.1038/s415...
#grape; #viticulture; #pangenome; #structructural_variation; #Genomic_selection

24.01.2025 10:37 β€” πŸ‘ 1    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Leveraging a phased pangenome for haplotype design of hybrid potato - Nature A phased pangenomeΒ of potato constructed from 60 wild and cultivated haplotypes shows that substantial hybridization occurred during domestication and enables identification of many putative deleterious variants, providing a basis for the design of improved inbred lines.

Nature research paper: Leveraging a phased pangenome for haplotype design of hybrid potato

https://go.nature.com/40KQbM9

23.01.2025 15:02 β€” πŸ‘ 16    πŸ” 6    πŸ’¬ 0    πŸ“Œ 0
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Complete human recombination maps - Nature Complete human recombination maps are presented that enable exploration of both cross-over and non-cross-over events during meiosis, with the potential to provide insight into the causes of aneuploidies and pregnancy loss.

Nature research paper: Complete human recombination maps

https://go.nature.com/40J595a

23.01.2025 15:33 β€” πŸ‘ 21    πŸ” 8    πŸ’¬ 0    πŸ“Œ 0

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