Twenty years of rice genomics research: From sequencing and functional genomics to quantitative genomics

Association Analysis of Agronomic Traits and Construction of Genetic Networks by Resequencing of 306 sugar beet (Beta vulgaris L.) Lines

“…Understanding the genetic networks underlying different traits could bene t breeders in enhancing breeding e ciency by helping them to identify similarities among various genetic resources. For example, in recent decades, functional genomics in rice has rapidly developed, and some key genes controlling yield and grain quality have been identi ed [47]. Such efforts have enabled breeders to select and improve multiple related traits simultaneously, which was the ultimate goal of plant breeding.…”

10k‐level integrated rice database shows power for exploiting rare variants

“…In the 1990s, rice became a model plant to study monocots due to its relatively small genome and efficient transformation system (Izawa and Shimamoto, 1996). Rice is the first crop with a sequenced and assembled reference genome (Wang and Han, 2022), and rice genes have been cloned via the map‐based cloning system, showing that key regulators in rice play critical roles in determining important agronomic traits (Guo et al, 2018; Chen et al, 2022). Meanwhile, the history of rice domestication could be traced to 10,000 years ago spreading in many countries around the world, providing abundant germplasm resources.…”

Editorial: Crop improvement by omics and bioinformatics

“…In the past few decades, remarkable progresses have been achieved in the discovery of yield, quality and resistance genes in crops, and the dissection of plant molecular mechanisms ( Zeng et al., 2017 ; Wang et al., 2018 ; Zelm et al., 2020 ; Chen et al., 2021 ; Liang et al., 2021 ; Ren et al., 2023 ; Wang et al., 2023 ). With the continuous progress in sequencing technology, molecular markers and gene editing, a large number of excellent crop varieties have been cultivated and modern genetic improvement of crops have been realized ( Lei et al., 2021 ; Qin et al., 2021 ; Tang et al., 2022 ; Wang and Han, 2022 ; Shi et al., 2023 ; Wen et al., 2023 ). But it is far from enough compared with the rapid changes in the growing population and environment.…”

“…Many new omics technologies have been developed in recent years, e.g., genomics, transcriptomics, proteomics, metabolomics, interactomics, and phenomics ( Xie et al., 2021 ; Huang et al., 2022 ; Shang et al., 2022 ; Wang and Han, 2022 ; Wang et al., 2022 ; Marand et al., 2023 ; Ren et al., 2023 ). Integrating multi-omics could clarify the mechanisms of many biological processes and explore the interactions among various substances ( Della Coletta et al., 2021 ; Huang et al., 2022 ; Luo et al., 2022 ).…”