The Rice "hybrid" Population Reveals the Mysteries of Genetic Interaction
- 1Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China
2State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu 611130, China
Received date: 2024-06-07
Accepted date: 2024-06-21
Online published: 2024-07-05
Abstract
Revealing the intrinsic relationship between gene interactions and phenotypes is a key issue in life science research. Most phenotypes are controlled by multiple genes in a coordinated manner, exhibiting complex genetic effects such as dominance and epistasis in addition to additive effects. In a recent study, a “hybrid” population of rice containing 18 421 recombinant inbred lines was constructed, successfully identifying 96 high-confidence candidate genes controlling 16 agronomic traits. The study analyzed the epistatic effects among genes, constructed a genetic interaction network consisting of 19 hub genes, revealed potential interactions among genes, and discovered 170 “masking” epistatic interac-tions. This research provides important data and material resources for genetic studies in rice, establishes a new paradigm for crop genetics research, greatly accelerates the discovery of genes related to important traits, advances the functional analysis of quantitative trait gene interactions, and provides genetic resources and theoretical support for mole-cular breeding.
Key words： “hybrid” population; quantitative traits; genetic pleiotropy; epistasis
Cite this article
Hao Wang , Peng Qin , Shigui Li . The Rice "hybrid" Population Reveals the Mysteries of Genetic Interaction[J]. Chinese Bulletin of Botany, 2024 , 59(4) : 529 -532 . DOI: 10.11983/CBB24090
References
| [1] | Forsberg SKG, Bloom JS, Sadhu MJ, Kruglyak L, Carlborg ? (2017). Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast. Nat Genet 49, 497-503. |
| [2] | Gros PA, Le Nagard H, Tenaillon O (2009). The evolution of epistasis and its links with genetic robustness, complexity and drift in a phenotypic model of adaptation. Genetics 182, 277-293. |
| [3] | Li T, Ning Z, Yang ZJ, Zhai RR, Zheng CQ, Xu WZ, Wang YP, Ying KJ, Chen YW, Shen X (2021). Total genetic contribution assessment across the human genome. Nat Commun 12, 2845. |
| [4] | Liu HJ, Yan JB (2019). Crop genome-wide association study: a harvest of biological relevance. Plant J 97, 8-18. |
| [5] | Liu YQ, Wang HR, Jiang ZM, Wang W, Xu RN, Wang QH, Zhang ZH, Li AF, Liang Y, Ou SJ, Liu XJ, Cao SY, Tong HN, Wang YH, Zhou F, Liao H, Hu B, Chu CC (2021). Genomic basis of geographical adaptation to soil nitrogen in rice. Nature 590, 600-605. |
| [6] | Si LZ, Chen JY, Huang XH, Gong H, Luo JH, Hou QQ, Zhou TY, Lu TT, Zhu JJ, Shangguan YY, Chen EW, Gong CX, Zhao Q, Jing YF, Zhao Y, Li Y, Cui LL, Fan DL, Lu YQ, Weng QJ, Wang YC, Zhan QL, Liu KY, Wei XH, An K, An G, Han B (2016). OsSPL13 controls grain size in cultivated rice. Nat Genet 48, 447-456. |
| [7] | Stearns FW (2010). One hundred years of pleiotropy: a retrospective. Genetics 186, 767-773. |
| [8] | Watanabe K, Stringer S, Frei O, Umi?evi? Mirkov M, de Leeuw C, Polderman TJC, van der Sluis S, Andreassen OA, Neale BM, Posthuma D (2019). A global overview of pleiotropy and genetic architecture in complex traits. Nat Genet 51, 1339-1348. |
| [9] | Wei X, Chen M, Zhang Q, Gong J, Liu J, Yong K, Wang Q, Fan J, Chen S, Hua H, Luo Z, Zhao X, Wang X, Li W, Cong J, Yu X, Wang Z, Huang R, Chen J, Zhou X, Qiu J, Xu P, Murray J, Wang H, Xu Y, Xu C, Xu G, Yang J, Han B, Huang X (2024). Genomic investigation of 18 421 lines reveals the genetic architecture of rice. Science 385, eadm8762. |