Comparative analysis of genomic prediction models based on body weight trait in large yellow croaker (Larimichthys crocea) DOI

Jialu Fang,

Qinglei Xu, Limin Feng

и другие.

Aquaculture, Год журнала: 2025, Номер 599, С. 742125 - 742125

Опубликована: Янв. 7, 2025

Язык: Английский

Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction DOI Creative Commons
Yunbi Xu, Xingping Zhang, Huihui Li

и другие.

Molecular Plant, Год журнала: 2022, Номер 15(11), С. 1664 - 1695

Опубликована: Сен. 7, 2022

The first paradigm of plant breeding involves direct selection-based phenotypic observation, followed by predictive using statistical models for quantitative traits constructed based on genetic experimental design and, more recently, incorporation molecular marker genotypes. However, performance or phenotype (P) is determined the combined effects genotype (G), envirotype (E), and environment interaction (GEI). Phenotypes can be predicted precisely training a model data collected from multiple sources, including spatiotemporal omics (genomics, phenomics, enviromics across time space). Integration 3D information profiles (G-P-E), each with multidimensionality, provides both tremendous opportunities great challenges. Here, we review innovative technologies breeding. We then evaluate multidimensional that integrated strategy, particularly envirotypic data, which have largely been neglected in collection are nearly untouched construction. propose smart scheme, genomic-enviromic prediction (iGEP), as an extension genomic prediction, multiomics information, big technology, artificial intelligence (mainly focused machine deep learning). discuss how to implement iGEP, models, environmental indices, factorial structure cross-species prediction. A strategy proposed prediction-based crop redesign at macro (individual, population, species) micro (gene, metabolism, network) scales. Finally, provide perspectives translating into gain through integrative platforms open-source initiatives. call coordinated efforts institutional partnerships, technological support.

Язык: Английский

Процитировано

164

Machine learning bridges omics sciences and plant breeding DOI
Jun Yan, Xiangfeng Wang

Trends in Plant Science, Год журнала: 2022, Номер 28(2), С. 199 - 210

Опубликована: Сен. 21, 2022

Язык: Английский

Процитировано

82

From Classical Radiation to Modern Radiation: Past, Present, and Future of Radiation Mutation Breeding DOI Creative Commons
Liqiu Ma,

Fuquan Kong,

Kai Sun

и другие.

Frontiers in Public Health, Год журнала: 2021, Номер 9

Опубликована: Дек. 21, 2021

Radiation mutation breeding has been used for nearly 100 years and successfully improved crops by increasing genetic variation. Global food production is facing a series of challenges, such as rapid population growth, environmental pollution climate change. How to feed the world's enormous human poses great challenges breeders. Although advanced technologies, gene editing, have provided effective ways breed varieties, editing single or multiple specific target genes, enhancing germplasm diversity through still indispensable in modern classical radiation because it more likely produce random mutations whole genome. In this short review, current status radiation, accelerated particle space discussed, molecular mechanisms radiation-induced are demonstrated. This review also looks into future development breeding, hoping deepen our understanding provide new vitality further breeding.

Язык: Английский

Процитировано

83

Genome-wide atlas of rust resistance loci in wheat DOI Creative Commons
Jingyang Tong,

Cong Zhao,

Dan Liu

и другие.

Theoretical and Applied Genetics, Год журнала: 2024, Номер 137(8)

Опубликована: Июль 9, 2024

Rust diseases, including leaf rust, stripe/yellow and stem significantly impact wheat (Triticum aestivum L.) yields, causing substantial economic losses every year. Breeding deployment of cultivars with genetic resistance is the most effective sustainable approach to control these diseases. The toolkit for breeders select rust has rapidly expanded a multitude loci identified using latest advances in genomics, mapping cloning strategies. goal this review was establish genome atlas that provides comprehensive summary reported associated resistance. Our mapped quantitative trait (QTL) characterised genes three rusts from 170 publications over past two decades. A total 920 QTL or were positioned across 21 chromosomes based on reference (IWGSC RefSeq v2.1). Interestingly, 26 genomic regions contained multiple suggesting they could have pleiotropic effects more We discuss range strategies exploit wealth information efficiently utilise sources resistance, stack desirable develop enhanced disease.

Язык: Английский

Процитировано

13

Genome-wide association study reveals growth-related SNPs and candidate genes in grass carp (Ctenopharyngodon idella) DOI

Yinghu Hao,

Xuewen Jia,

Yuan Li

и другие.

Aquaculture, Год журнала: 2023, Номер 577, С. 739979 - 739979

Опубликована: Авг. 9, 2023

Язык: Английский

Процитировано

20

Developing a liquid capture chip to accelerate the genetic progress of cattle DOI Creative Commons
Yan Chen, Yingwei Guo, Fei Ge

и другие.

Animal Research and One Health, Год журнала: 2024, Номер 2(2), С. 204 - 216

Опубликована: Март 29, 2024

Abstract Large‐scale genotyping at a low cost is crucial for molecular breeding of livestock. In this study, the Cattle110K capture chip was developed, based on by target sequencing system. The panel included 112,180 single necleotide polymorphisms (SNPs), from potential functional regions screened genome‐wide associated BayesB, expression quantitative trait loci‐mapping, ATAC‐seq, and reported markers. All SNPs were distributed evenly cattle genome, with more than 99% markers having minor allele frequency greater 0.05. Assessment results indicated that total 1.2 M high‐quality identified in 110 K regions, averaging approximately 10 per sequence. genotype consistency repetitive samples using liquid 99.21% while concordance between Illumina BovineHD BeadChip averaged 98.17%. A significant association signal slaughter weight carcass length 37.3–41.5 Mb chromosome 6, pinpointing NCAPG‐LCORL locus. This locus has previously been meat traits cattle. Additionally, novel candidate around 3.4 13 73.5 8, significantly correlated hip height marbling score, respectively. We compared accuracy genomic estimated values chip. demonstrated had comparable ability prediction to BeadChip. Advances cost‐effective are expected accelerate genetic progress coming years.

Язык: Английский

Процитировано

7

Development and verification of a 10K liquid chip for Hainan black goat based on genotyping by pinpoint sequencing of liquid captured targets DOI Creative Commons

Yong Meng,

Wencan Zhang, Yiwen Cheng

и другие.

BMC Genomic Data, Год журнала: 2024, Номер 25(1)

Опубликована: Май 7, 2024

China has thousands years of goat breeding and abundant genetic resources. Additionally, the Hainan black is one high-quality local breeds in China. In order to conserve germplasm resources goat, facilitate its improvement further protect diversity goats, it urgent develop a single nucleotide polymorphism (SNP) chip for goat.

Язык: Английский

Процитировано

7

Development of a 45K pepper GBTS liquid-phase gene chip and its application in genome-wide association studies DOI Creative Commons

Zixiong Li,

Zhiqi Jia,

Jisuo Li

и другие.

Frontiers in Plant Science, Год журнала: 2024, Номер 15

Опубликована: Июнь 25, 2024

Introduction Pepper ( Capsicum spp.) is a vegetable that cultivated globally and has undergone extensive domestication, leading to significant diversification in its agronomic traits. With the advancement of genomics pepper reduction sequencing costs, high-throughput detection single nucleotide polymorphisms (SNPs) small insertions-deletions (indels) become increasingly critical for analyzing germplasms improving breeding programs. As result, there pressing need cost-effective, high-throughput, versatile technique suitable both foreground background selection breeding. Methods In present study, Python-based web scraping scripts were utilized systematically extract data from published literatures relevant sequence databases focusing on genomes. Subsequent extraction, SNPs indels meticulously identified filtered. This process culminated delineation core polymorphic sites, which instrumental development specific probes. Following this, comprehensive phenotypic genotypic analyses conducted diverse collection 420 germplasms. Concurrently, genome-wide association study (GWAS) was elucidate genetic determinants helical fruit shape peppers. Results this 45K Genotyping-By-Target-Sequencing (GBTS) liquid-phase gene chip developed GenoBaits platform. composed 45,389 probes, 42,535 are derived sites (CPS) landscape, while 2,854 associated with traits, spanning across 43 The CPS probes spaced at an average interval 68 Kb. We have assessed performance germplasms, successful capture target DNA fragments by 45,387 Furthermore, probe ratio surpassed 70% 410 tested. Using chip, we efficiently genotyped 273 spiciness levels elucidated relationships among Our results allowed precise clustering sister lines C. chinense addition, through GWAS shape, three quantitative trait loci (QTLs): heli2.1, heli11.1, heli11.2. Within heli11.1 QTL, encoding tubulin alpha chain identified, suggesting potential role growth pattern fruits. Discussion summary, GBTS offers robust promising tool advancing research into germplasm new varieties.

Язык: Английский

Процитировано

7

Big data and artificial intelligence‐aided crop breeding: Progress and prospects DOI Creative Commons
Wanchao Zhu, Weifu Li, Hongwei Zhang

и другие.

Journal of Integrative Plant Biology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

ABSTRACT The past decade has witnessed rapid developments in gene discovery, biological big data (BBD), artificial intelligence (AI)‐aided technologies, and molecular breeding. These advancements are expected to accelerate crop breeding under the pressure of increasing demands for food. Here, we first summarize current methods discuss need new ways support efforts. Then, review how combine BBD AI technologies genetic dissection, exploring functional genes, predicting regulatory elements domains, phenotypic prediction. Finally, propose concept intelligent precision design (IPDB) driven by technology offer ideas about implement IPDB. We hope that IPDB will enhance predictability, efficiency, cost compared with technologies. As an example IPDB, explore possibilities offered CropGPT, which combines techniques, bioinformatics, art from breeders, presents open, shareable, cooperative system. provides integrated services communication platforms biologists, bioinformatics experts, germplasm resource specialists, dealers, farmers, should be well suited future

Язык: Английский

Процитировано

7

Development and validation of PCR marker array for molecular selection towards spring, vernalization-independent and winter, vernalization-responsive ecotypes of white lupin (Lupinus albus L.) DOI Creative Commons
Anna Surma, Michał Książkiewicz, Wojciech Bielski

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 21, 2025

Abstract White lupin ( Lupinus albus L.) is an ancient grain legume that still undergoing improvement of domestication traits, including vernalization-responsiveness, providing frost tolerance and preventing winter flowering in autumn-sowing agriculture, vernalization-independence, conferring drought escape by rapid spring-sowing. A recent genome-wide association study highlighted several loci significantly associated with the most contrasting phenotypes, deletions promoter FLOWERING LOCUS T homolog, LalbFTc1 , some DArT-seq/silicoDArT loci. The present aimed to develop validate a versatile PCR marker array enabling molecular selection spring- winter-type white ecotypes. Candidate DArT-seq silicoDArT were transformed into cleaved amplified polymorphic sequence (CAPS) or derived CAPS markers. Developed markers, together those previously published for INDELs quantitative trait from linkage maps, implemented screening germplasm panel subjected 2-year phenotyping phenology traits. Three DArT-seq, two seven INDEL markers positively validated, constituting convenient PCR-based assay accurate reselection towards early thermoneutrality late as well tracking high genetic phenotypic diversity within landraces, revealed study.

Язык: Английский

Процитировано

1