Sampling is a bridge between continuous-time and discrete-time signals, which is import-ant to digital signal processing. The fractional Fourier transform (FrFT) that serves as a generaliz-ation of the FT can characterize signals in multiple fractional Fourier domains, and therefore can provide new perspectives for signal sampling and reconstruction. In this paper, we review recent de-velopments of the sampling theorem associated with the FrFT, including signal reconstruction and fractional spectral analysis of uniform sampling, nonuniform samplings due to various factors, and sub-Nyquist sampling, where bandlimited signals in the fractional Fourier domain are mainly taken into consideration. Moreover, we provide several future research topics of the sampling theorem as-sociated with the FrFT.