Crop production is threatened by climate change, depletion of fertilizer feedstock, and a number of biotic and abiotic stresses. Through the lens of evolution, climate change is an agent of natural selection that forces crop populations to change and adapt. Climate warming impacts crop productivity, and small increases in average temperature are predicted to decrease crop yield significantly. Therefore, crop breeding to increase yield will have a significant positive impact on global food security. However, variety innovation and breeding have been largely limited by insufficient genetic sources. As we know, crops were domesticated from wild plants through long-time artificial selection and breeding. Genomic variations, such as SNPs or InDel mutations, large structural variations, whole genome duplication, transposon insertion, gene duplication, epigenetic changes, and other elements, may contribute to phenotype variations.
With the rapid development of sequencing technologies, especially single molecular real-time technologies, the sequencing cost has been largely reduced. The longer reads can also provide better performance in many aspects, such as variation detection ranging from single-base-level to large structural-variation-level, expression monitoring ranging from gene-level to transcript-level and single-base-level multitype methylation information of original nucleic acid, which enable researchers to study with larger amounts of data and obtain a better understanding of genetic determination and environmental influences. Combining multi-omics data, including genome sequence, chromosomal spatial information, methylome, transcriptomics, metabolomics, and proteomics, is an efficient strategy to connect the relationship from genotypes to phenotypes and promote the understanding of the genetic basis for agronomic trait improvement.
In this Research Topic, we encourage papers integrating multi-omics data and experiments to uncover the transcriptional regulation of genes associated with abnormal phenotypes, the genetic basis of important agronomic traits, and the function and evolution of genes underlying crop domestication in a phylogenomic view. This collection may provide a better understanding of phenotypic variation for crop domestication and promote the utilization of multi-omics data in genome evolution and genetic basis research for crop improvement.
This research topic aims to shed light on the origins and domestication of crops. We welcome original research and other types of articles falling under, but not limited to:
• High-quality genome and comparative genomics
• Large-scale phylogenomic studies and sub-/neo- functionalization
• Allele regulation and expression models of polyploid crops
• Mapping and molecular mechanism of genes related to important agronomic traits
• Population genetics and crop domestication
Crop production is threatened by climate change, depletion of fertilizer feedstock, and a number of biotic and abiotic stresses. Through the lens of evolution, climate change is an agent of natural selection that forces crop populations to change and adapt. Climate warming impacts crop productivity, and small increases in average temperature are predicted to decrease crop yield significantly. Therefore, crop breeding to increase yield will have a significant positive impact on global food security. However, variety innovation and breeding have been largely limited by insufficient genetic sources. As we know, crops were domesticated from wild plants through long-time artificial selection and breeding. Genomic variations, such as SNPs or InDel mutations, large structural variations, whole genome duplication, transposon insertion, gene duplication, epigenetic changes, and other elements, may contribute to phenotype variations.
With the rapid development of sequencing technologies, especially single molecular real-time technologies, the sequencing cost has been largely reduced. The longer reads can also provide better performance in many aspects, such as variation detection ranging from single-base-level to large structural-variation-level, expression monitoring ranging from gene-level to transcript-level and single-base-level multitype methylation information of original nucleic acid, which enable researchers to study with larger amounts of data and obtain a better understanding of genetic determination and environmental influences. Combining multi-omics data, including genome sequence, chromosomal spatial information, methylome, transcriptomics, metabolomics, and proteomics, is an efficient strategy to connect the relationship from genotypes to phenotypes and promote the understanding of the genetic basis for agronomic trait improvement.
In this Research Topic, we encourage papers integrating multi-omics data and experiments to uncover the transcriptional regulation of genes associated with abnormal phenotypes, the genetic basis of important agronomic traits, and the function and evolution of genes underlying crop domestication in a phylogenomic view. This collection may provide a better understanding of phenotypic variation for crop domestication and promote the utilization of multi-omics data in genome evolution and genetic basis research for crop improvement.
This research topic aims to shed light on the origins and domestication of crops. We welcome original research and other types of articles falling under, but not limited to:
• High-quality genome and comparative genomics
• Large-scale phylogenomic studies and sub-/neo- functionalization
• Allele regulation and expression models of polyploid crops
• Mapping and molecular mechanism of genes related to important agronomic traits
• Population genetics and crop domestication