Full length transcriptomes analysis of cold-resistance of Apis cerana in Changbai Mountain during overwintering period

Apis cerana in Changbai Mountain is an ecological type of Apis cerana, which is an excellent breeding material with cold-resistant developed by long-term natural selection under the ecological conditions. However, the physiological and molecular mechanisms of Changbai Mountain population under cold stress are still unclear. In this study, the Nanopore sequencing was carried out for the transcriptome of Apis cerana in Changbai Mountain in the coldest period of overwintering, which will provide a reference to the cold-resistant mechanism. We determined 5,941 complete ORF sequences, 1,193 lncRNAs, 619 TFs, 10,866 SSRs and functional annotations of 11,599 new transcripts. Our results showed that the myosin family and the C2H2 zinc finger protein transcription factor family possibly have significant impacts on the response mechanism of cold stress during overwintering. In addition, the cold environment alters genes expression profiles in honeybees via different AS and APA mechanisms. These altered genes in Hippo, Foxo, and MARK pathways help them counter the stress of cold in overwinter period. Our results might provide clues about the response of eastern honeybees to extreme cold, and reflect the possible genetic basis of physiological changes.

Risk assessment of freezing injury during overwintering of wheat in the northern boundary of the Winter Wheat Region in China

Freezing injury is one of the main restriction factors for winter wheat production, especially in the northern part of the Winter Wheat Region in China. It is very important to assess the risk of winter wheat-freezing injury. However, most of the existing climate models are complex and cannot be widely used. In this study, Zunhua which is located in the northern boundary of Winter Wheat Region in China is selected as research region, based on the winter meteorological data of Zunhua from 1956 to 2016, seven freezing disaster-causing factors related to freezing injury were extracted to formulated the freezing injury index (FII) of wheat. Referring to the historical wheat-freezing injury in Zunhua and combining with the cold resistance identification data of the National Winter Wheat Variety Regional Test (NWWVRT), consistency between the FII and the actual freezing injury situation was tested. Furthermore, the occurrence law of freezing injury in Zunhua during the past 60 years was analyzed by Morlet wavelet analyze, and the risk of freezing injury in the short term was evaluated. Results showed that the FII can reflect the occurrence of winter wheat-freezing injury in Zunhua to a certain extent and had a significant linear correlation with the dead tiller rate of wheat (P = 0.014). The interannual variation of the FII in Zunhua also showed a significant downward trend (R² = 0.7412). There are two cycles of freezing injury in 60 years, and it showed that there’s still exist a high risk in the short term. This study provides reference information for the rational use of meteorological data for winter wheat-freezing injury risk assessment.