Inbreeding in Chinese Fir: Insight into the Rare Self-Fertilizing Event from a Genetic View

Genes (Basel). 2022 Nov 13;13(11):2105. doi: 10.3390/genes13112105.

Abstract

Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) is a fast-growing conifer with great forestation value and prefers outcrossing with high inbreeding depression effect. Previously, we captured a special Chinese fir parent clone named as 'cx569' that lacks early inbreeding depression. In view of the fact that very little has been published about the rare self-fertilizing event in Chinese fir from a genetic view, herein, we conduct an SSR-based study on the variation of open- and self-pollinated offspring of this parent to gain a view of the rare self-fertilizing event. The results indicated that genetic diversity of self-pollinated offspring was significantly reduced by half (Ho: 0.302, vs. 0.595, p = 0.001; He: 0.274 vs. 0.512, p = 0.002) when compared to an open-pollinated set. Self-pollinated offspring also had significantly positive FIS values (FIS = 0.057, p = 0.034) with a much higher proportion of common allele (20.59% vs. 0), reflecting their heterozygote deficiency. Clustering analysis further indicated a separation of the self- and opened- pollinated groups, implying a natural preference of outcrossing for cx569. However, the cx569 still had 6% acceptance for selfing. When accepted 100% for its own pollen, the cx569 led to a genetically unique selfing group. Additionally, this selfing group seemed to be consistently homozygous at seven particular loci. These findings gave us more genetic clues to gain insight into the rare self-fertilizing event in conifer (Chinese fir).

Keywords: Chinese fir; genetic diversity; genetic structure; selfing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles
  • Animals
  • Cunninghamia* / genetics
  • Homozygote
  • Inbreeding
  • Inbreeding Depression*
  • Tracheophyta* / genetics

Grants and funding

This research was funded by the National Natural Science Foundation of China (No. 31972956) and the Key-Area Research and Development Program of Guangdong Province (No. 2020B020215001).