Yu Lei Liang, Peng Shuai Yan, Wen Xue Li, Wo Na Ding, Gui Xin Li, Ji Ming Xu, Zhong Jie Ding, Shao Jian Zheng
{"title":"连接基因组与农业实践:GWAS在作物改良养分利用效率基因挖掘中的应用。","authors":"Yu Lei Liang, Peng Shuai Yan, Wen Xue Li, Wo Na Ding, Gui Xin Li, Ji Ming Xu, Zhong Jie Ding, Shao Jian Zheng","doi":"10.1111/pce.70027","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>In the context of global food security challenges and unsustainable agricultural practices, improving crop nutrient use efficiency (NUE) has become pivotal for achieving yield stability and environmental sustainability. Traditional breeding approaches face limitations in dissecting complex traits like NUE due to low genetic resolution and restricted allelic diversity. This review highlights the transformative role of genome-wide association studies (GWAS) in bridging genomic insights with agricultural innovation. By leveraging high-throughput sequencing, advanced statistical models, and diverse germplasm resources, GWAS enables precise identification of genetic loci governing nitrogen (N), phosphorus (P), potassium (K), and micronutrient utilization efficiency. We summarize breakthroughs in identification of critical genes (e.g., <i>OsTCP19</i>, <i>ZmNLP3.2</i>, <i>GmPHF1</i>, <i>ZmNAC78</i>) and their regulatory roles in nitrogen-responsive tillering mechanisms, potassium-sodium interaction networks, phosphorus starvation adaptation pathways, or micronutrient accumulation in grains. Furthermore, we discuss the integration of GWAS with multi-omics technologies, epigenetics, and machine learning to overcome challenges such as false positives, genetic heterogeneity, and genotype-environment interactions. These advancements provide a robust framework for developing nutrient-efficient crops through precision breeding, ultimately contributing to sustainable intensification of agriculture by optimizing resource use and minimizing ecological footprints.</p></div>","PeriodicalId":222,"journal":{"name":"Plant, Cell & Environment","volume":"48 10","pages":"7271-7283"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bridging Genomic Insights to Agricultural Practice: GWAS Applications in Mining Nutrient Utilization Efficiency Genes for Crop Improvement\",\"authors\":\"Yu Lei Liang, Peng Shuai Yan, Wen Xue Li, Wo Na Ding, Gui Xin Li, Ji Ming Xu, Zhong Jie Ding, Shao Jian Zheng\",\"doi\":\"10.1111/pce.70027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>In the context of global food security challenges and unsustainable agricultural practices, improving crop nutrient use efficiency (NUE) has become pivotal for achieving yield stability and environmental sustainability. Traditional breeding approaches face limitations in dissecting complex traits like NUE due to low genetic resolution and restricted allelic diversity. This review highlights the transformative role of genome-wide association studies (GWAS) in bridging genomic insights with agricultural innovation. By leveraging high-throughput sequencing, advanced statistical models, and diverse germplasm resources, GWAS enables precise identification of genetic loci governing nitrogen (N), phosphorus (P), potassium (K), and micronutrient utilization efficiency. We summarize breakthroughs in identification of critical genes (e.g., <i>OsTCP19</i>, <i>ZmNLP3.2</i>, <i>GmPHF1</i>, <i>ZmNAC78</i>) and their regulatory roles in nitrogen-responsive tillering mechanisms, potassium-sodium interaction networks, phosphorus starvation adaptation pathways, or micronutrient accumulation in grains. Furthermore, we discuss the integration of GWAS with multi-omics technologies, epigenetics, and machine learning to overcome challenges such as false positives, genetic heterogeneity, and genotype-environment interactions. These advancements provide a robust framework for developing nutrient-efficient crops through precision breeding, ultimately contributing to sustainable intensification of agriculture by optimizing resource use and minimizing ecological footprints.</p></div>\",\"PeriodicalId\":222,\"journal\":{\"name\":\"Plant, Cell & Environment\",\"volume\":\"48 10\",\"pages\":\"7271-7283\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plant, Cell & Environment\",\"FirstCategoryId\":\"2\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/pce.70027\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant, Cell & Environment","FirstCategoryId":"2","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/pce.70027","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Bridging Genomic Insights to Agricultural Practice: GWAS Applications in Mining Nutrient Utilization Efficiency Genes for Crop Improvement
In the context of global food security challenges and unsustainable agricultural practices, improving crop nutrient use efficiency (NUE) has become pivotal for achieving yield stability and environmental sustainability. Traditional breeding approaches face limitations in dissecting complex traits like NUE due to low genetic resolution and restricted allelic diversity. This review highlights the transformative role of genome-wide association studies (GWAS) in bridging genomic insights with agricultural innovation. By leveraging high-throughput sequencing, advanced statistical models, and diverse germplasm resources, GWAS enables precise identification of genetic loci governing nitrogen (N), phosphorus (P), potassium (K), and micronutrient utilization efficiency. We summarize breakthroughs in identification of critical genes (e.g., OsTCP19, ZmNLP3.2, GmPHF1, ZmNAC78) and their regulatory roles in nitrogen-responsive tillering mechanisms, potassium-sodium interaction networks, phosphorus starvation adaptation pathways, or micronutrient accumulation in grains. Furthermore, we discuss the integration of GWAS with multi-omics technologies, epigenetics, and machine learning to overcome challenges such as false positives, genetic heterogeneity, and genotype-environment interactions. These advancements provide a robust framework for developing nutrient-efficient crops through precision breeding, ultimately contributing to sustainable intensification of agriculture by optimizing resource use and minimizing ecological footprints.
期刊介绍:
Plant, Cell & Environment is a premier plant science journal, offering valuable insights into plant responses to their environment. Committed to publishing high-quality theoretical and experimental research, the journal covers a broad spectrum of factors, spanning from molecular to community levels. Researchers exploring various aspects of plant biology, physiology, and ecology contribute to the journal's comprehensive understanding of plant-environment interactions.