Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality

Shi, Huan; Zhu, Yun; Yun, Peng; Lou, Guangming; Wang, Lu; Wang, Yipei; Gao, Guanjun; Zhang, Qinglu; Li, Xianghua; He, Yuqing

doi:10.3390/agronomy12030706

Open AccessArticle

Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality

by

Huan Shi

,

Yun Zhu

,

Peng Yun

,

Guangming Lou

,

Lu Wang

,

Yipei Wang

,

Guanjun Gao

^*,

Qinglu Zhang

,

Xianghua Li

and

Yuqing He

^*

National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China

^*

Authors to whom correspondence should be addressed.

Agronomy 2022, 12(3), 706; https://doi.org/10.3390/agronomy12030706

Submission received: 7 February 2022 / Revised: 28 February 2022 / Accepted: 10 March 2022 / Published: 14 March 2022

(This article belongs to the Special Issue A Themed Issue in Memory of Academician Zhu Yingguo (1939–2017))

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Abstract

Rice (Oryza sativa L.) chalkiness greatly reduces the rice quality and the commercial value. In this study, qWCR4, a previously reported quantitative trait locus (QTL) of white-core rate (WCR), was confirmed by a BC₅F₂ segregation population and further fine mapped to a 35.26 kb region. In the qWCR4 region, LOC_Os04g50060 and LOC_Os04g50070 showed significant differences in expression level in endosperm between two NILs, whereas four other genes had no expression. Starch granules in the central endosperm of chalky grains from NIL(J23B) with higher WCR exhibited a typically round and loosely packed morphology. NIL(J23B) with higher WCR accompanied a higher seed filling speed. Moreover, qWCR4^J23B (qWCR4 allele in J23B) increased WCR, grain numbers per plant, seed setting rate, grain width, and thousand-grain weight, contributing to a superior yield per plant. All in all, our research results not only lay a foundation for map-based cloning of qWCR4 but also provide new genetic resources for rice yield and quality breeding.

Keywords: rice; white-core rate; fine-mapping; quantitative RT-PCR; yield; and quality

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MDPI and ACS Style

Shi, H.; Zhu, Y.; Yun, P.; Lou, G.; Wang, L.; Wang, Y.; Gao, G.; Zhang, Q.; Li, X.; He, Y. Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality. Agronomy 2022, 12, 706. https://doi.org/10.3390/agronomy12030706

AMA Style

Shi H, Zhu Y, Yun P, Lou G, Wang L, Wang Y, Gao G, Zhang Q, Li X, He Y. Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality. Agronomy. 2022; 12(3):706. https://doi.org/10.3390/agronomy12030706

Chicago/Turabian Style

Shi, Huan, Yun Zhu, Peng Yun, Guangming Lou, Lu Wang, Yipei Wang, Guanjun Gao, Qinglu Zhang, Xianghua Li, and Yuqing He. 2022. "Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality" Agronomy 12, no. 3: 706. https://doi.org/10.3390/agronomy12030706

APA Style

Shi, H., Zhu, Y., Yun, P., Lou, G., Wang, L., Wang, Y., Gao, G., Zhang, Q., Li, X., & He, Y. (2022). Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality. Agronomy, 12(3), 706. https://doi.org/10.3390/agronomy12030706

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Fine Mapping of qWCR4, a Rice Chalkiness QTL Affecting Yield and Quality

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