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Identification of QTNs, QTN-by-Environment Interactions, and Their Candidate Genes for Rice Grain-Related Traits across Years using 3VmrMLM

This study utilized a multi-locus 3VmrMLM algorithm to analyze a diverse rice panel across multiple years, identifying stable and environment-dependent genetic loci along with prioritized candidate genes that govern grain shape and weight, thereby providing valuable resources for marker-assisted and environment-aware breeding.

Original authors: Suhong Bu, Shuai Tu, Fangping Li, Qiong Zhao, Qingyu Song, Hongxu Huang, Jieying Liu, Weifeng Yang, Shaokui Wang, Junliang Zhao

Published 2026-10-30
📖 5 min read🧠 Deep dive

Original authors: Suhong Bu, Shuai Tu, Fangping Li, Qiong Zhao, Qingyu Song, Hongxu Huang, Jieying Liu, Weifeng Yang, Shaokui Wang, Junliang Zhao

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ⚕️ This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer

Rice is the staple food for more than half the world's population, and for farmers and breeders, the size and shape of a single grain are matters of immense consequence. These physical traits determine not only how much food a plant can produce but also the quality of the final product. The size of a rice grain is a complex puzzle, shaped by a delicate interplay between the plant's genetic code and the environment in which it grows. While scientists have long known that specific genes act as switches to control whether a grain becomes long and slender or short and round, the full picture remains incomplete. Some genetic instructions work reliably no matter the weather, while others seem to change their behavior depending on the year, the temperature, or the amount of rain. Understanding which genes are stable and which are sensitive to the environment is crucial for developing new rice varieties that can feed a growing world under changing climate conditions.

To solve this puzzle, a team of researchers from South China Agricultural University and other institutions turned their attention to a vast collection of rice plants. They gathered seeds from 413 different rice varieties, representing a diverse array of origins from 53 countries. These plants were grown in a paddy field in Guangzhou, China, over several years, specifically 2014, 2016, and 2018. Because the weather conditions vary naturally from year to year, each growing season served as a distinct environment, allowing the scientists to see how the same genetic makeup responded to different real-world conditions. The team meticulously measured four key traits for every plant: the length of the grain, its width, the ratio of length to width, and the weight of a thousand grains. They then used a powerful statistical approach to scan the entire genetic code of these plants, looking for tiny variations in DNA that correlated with differences in grain size.

The researchers employed a sophisticated method designed to detect many genetic signals at once, rather than testing them one by one. This approach allowed them to identify hundreds of specific locations in the rice genome that influence grain shape and weight. In total, they found 407 distinct genetic markers associated with these traits. Most of these markers had only a small effect on their own, confirming that grain size is controlled by a large number of genes working together. However, the study also revealed a subset of 116 markers that appeared consistently across different years and analytical methods, suggesting these are the most reliable genetic levers for controlling grain size. The team verified their findings by checking if these markers were near genes already known to affect rice, such as GS3 and GW5. They found that many of the known genes were indeed located right next to the markers they discovered, which gave them confidence that their method was working correctly.

Beyond finding stable genetic markers, the study sought to uncover how the environment changes the effect of these genes. The researchers looked for instances where a specific genetic location influenced grain size in one year but not in another, or where the effect changed depending on the conditions. They identified ten such instances, known as gene-by-environment interactions, primarily affecting grain length, width, and the length-to-width ratio. Interestingly, they found no significant interactions for the weight of the grains, suggesting that while the shape of the grain is sensitive to yearly weather changes, its weight is more genetically fixed. One of the most intriguing discoveries was a gene called PHYA, which is involved in how plants sense light. This gene showed a strong interaction with the environment, meaning its effect on grain width changed significantly from year to year. This suggests that the way rice plants perceive light and respond to seasonal changes plays a direct role in determining the final shape of the grain.

To move from statistical signals to actual biological understanding, the team narrowed down their list to a handful of promising candidate genes. They cross-referenced the genetic locations with data on which genes were active during the early stages of grain development and examined the different versions, or haplotypes, of these genes found in the rice collection. This process highlighted fourteen new genes that had not been previously linked to grain size. Among these, three stood out as particularly strong candidates. One gene, OsFKII/FRK2, is involved in how the plant processes sugars and stores starch, a process essential for filling the grain. Another, OsPCF5, is a type of protein that helps regulate how the plant grows and develops. The third, OsSWN3/OsNAC31, is linked to the construction of the cell walls that give the grain its structure. The researchers found that different versions of these genes were associated with measurable differences in grain size, providing a clear link between the DNA sequence and the physical trait.

The study concludes that while many genes contribute to rice grain size, some are robust and reliable across different years, while others are flexible and respond to environmental shifts. By identifying both the stable genetic factors and the ones that change with the environment, the researchers have provided a valuable map for breeders. These findings offer new targets for developing rice varieties that can maintain high yields and quality regardless of whether the growing season is hot, cool, wet, or dry. The work does not claim to have solved the entire mystery of rice genetics, but it has successfully separated the reliable genetic instructions from the environmental noise, offering a clearer path toward feeding the future.

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