Unknown

Dataset Information

0

Transcriptome profiling provides insights into the molecular mechanisms of maize kernel and silk development.


ABSTRACT:

Background

Maize kernel filling, which is closely related to the process of double fertilization and is sensitive to a variety of environmental conditions, is an important component of maize yield determination. Silk is an important tissue of maize ears that can discriminate pollen and conduct pollination. Therefore, investigating the molecular mechanisms of kernel development and silk senescence will provide important information for improving the pollination rate to obtain high maize yields.

Results

In this study, transcript profiles were determined in an elite maize inbred line (KA105) to investigate the molecular mechanisms functioning in self-pollinated and unpollinated maize kernels and silks. A total of 5285 and 3225 differentially expressed transcripts (DETs) were identified between self-pollinated and unpollinated maize in a kernel group and a silk group, respectively. We found that a large number of genes involved in key steps in the biosynthesis of endosperm storage compounds were upregulated after pollination in kernels, and that abnormal development and senescence appeared in unpollinated kernels (KUP). We also identified several genes with functions in the maintenance of silk structure that were highly expressed in silk. Further investigation suggested that the expression of autophagy-related genes and senescence-related genes is prevalent in maize kernels and silks. In addition, pollination significantly altered the expression levels of senescence-related and autophagy-related genes in maize kernels and silks. Notably, we identified some specific genes and transcription factors (TFs) that are highly expressed in single tissues.

Conclusions

Our results provide novel insights into the potential regulatory mechanisms of self-pollinated and unpollinated maize kernels and silks.

SUBMITTER: Li T 

PROVIDER: S-EPMC8379809 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7585205 | biostudies-literature
| S-EPMC5467848 | biostudies-literature
| S-EPMC7059693 | biostudies-literature
| S-EPMC4674093 | biostudies-literature
| S-EPMC5135356 | biostudies-literature
| S-EPMC6515667 | biostudies-literature
| S-EPMC6032218 | biostudies-literature
| S-EPMC9570349 | biostudies-literature
| S-EPMC4432871 | biostudies-literature
| S-EPMC9361504 | biostudies-literature