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Genetic dissection of fruiting body-related traits using quantitative trait loci mapping in Lentinula edodes

  • Applied genetics and molecular biotechnology
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Abstract

To provide a better understanding of the genetic architecture of fruiting body formation of Lentinula edodes, quantitative trait loci (QTLs) mapping was employed to uncover the loci underlying seven fruiting body-related traits (FBRTs). An improved L. edodes genetic linkage map, comprising 572 markers on 12 linkage groups with a total map length of 983.7 cM, was constructed by integrating 82 genomic sequence-based insertion-deletion (InDel) markers into a previously published map. We then detected a total of 62 QTLs for seven target traits across two segregating testcross populations, with individual QTLs contributing 5.5 %–30.2 % of the phenotypic variation. Fifty-three out of the 62 QTLs were clustered in six QTL hotspots, suggesting the existence of main genomic regions regulating the morphological characteristics of fruiting bodies in L. edodes. A stable QTL hotspot on MLG2, containing QTLs for all investigated traits, was identified in both testcross populations. QTLs for related traits were frequently co-located on the linkage groups, demonstrating the genetic basis for phenotypic correlation of traits. Meta-QTL (mQTL) analysis was performed and identified 16 mQTLs with refined positions and narrow confidence intervals (CIs). Nine genes, including those encoding MAP kinase, blue-light photoreceptor, riboflavin-aldehyde-forming enzyme and cyclopropane-fatty-acyl-phospholipid synthase, and cytochrome P450s, were likely to be candidate genes controlling the shape of fruiting bodies. The study has improved our understanding of the genetic architecture of fruiting body formation in L. edodes. To our knowledge, this is the first genome-wide QTL detection of FBRTs in L. edodes. The improved genetic map, InDel markers and QTL hotspot regions revealed here will assist considerably in the conduct of future genetic and breeding studies of L. edodes.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 31372117; 31000929), the industry (agriculture), the Science and Technology Plans of Hubei Province (Grant No. 2012DBA19001) and the Fundamental Research Funds for the Central Universities of China (Grant No. 2012ZYTS041).

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Authors and Affiliations

  1. Institute of Applied Mycology, Huazhong Agricultural University, Wuhan, 430070, Hubei Province, People’s Republic of China

    Wen-bing Gong, Yan Zhou, Yin-bing Bian & Yang Xiao

  2. Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, People’s Republic of China

    Wen-bing Gong

  3. School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, People’s Republic of China

    Lei Li, Hoi-shan Kwan & Man-kit Cheung

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  1. Wen-bing Gong
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  2. Lei Li
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  3. Yan Zhou
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Correspondence to Yang Xiao.

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Gong, Wb., Li, L., Zhou, Y. et al. Genetic dissection of fruiting body-related traits using quantitative trait loci mapping in Lentinula edodes . Appl Microbiol Biotechnol 100, 5437–5452 (2016). https://doi.org/10.1007/s00253-016-7347-5

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