Study on the origin of the Baise horse based on whole-genome resequencing.

The Baise horse, an indigenous horse breed mainly distributed in the Baise region of Guangxi province in southwest China, has a long history as draft animal. However, there is a lack of research regarding the origin and ancestral composition of the Baise horse. In this study, whole-genome resequencing data from 236 horses of seven Chinese indigenous horse breeds, five foreign horse breeds, and four Przewalski's horses were used to investigate the relationships between the Baise horse and other horse breeds. The results showed that foreign horse breeds had no significant impact on the formation of the Baise horse. The two southwestern horse populations, the Debao pony and the Jinjiang horse, exhibit the closest genetic affinity with the Baise horse. This is consistent with their adjacent geographical distribution. Analysis of the migration route revealed a gene flow from the Chakouyi horse into the Baise horse. In summary, our results confirm that the formation of the Baise horse did not involve participation from foreign breeds. Geographical distance emerges as a crucial factor in determining the genetic relationships with the Baise horse. Gene flows of indigenous horse breeds along ancient routes of trade activities had played a role in the formation of the Baise horse.

Whole-Genome Sequence Analysis Reveals the Origin of the Chakouyi Horse.

The Chakouyi horse is an ancient Chinese indigenous horse breed distributed in Gansu Province in northwestern China, and is also one of the key breeds protected by the government. However, the origin of the Chakouyi horse remains unclear. As it is distributed in a key region of the Silk Road, it was speculated that the origin of the Chakouyi horse might involve the foreign horse breeds found along this ancient commercial artery. In this study, whole-genome resequencing data of 12 horse breeds, including both indigenous and foreign horses, were applied to reveal the genetic relationships between the Chakouyi horse and other breeds, as well as the ancestry of this ancient breed. An analysis of the population structure and admixture showed that there is no close genetic affinity between the Chakouyi horse and the foreign horses while Chinese indigenous horse populations were grouped together in accordance with their geographic locations, and the Chakouyi horse showed a closer relationship with Kazak horses, Mongolian horses, and Tibetan horses. The results from the ancestral composition prediction indicated that the Kazak horse and the Mongolian horse might be two ancestors of the Chakouyi horse. Furthermore, the genome-wide selection signature analysis revealed that the DMRT3 gene was positively selected in the Chakouyi horse and related to the gait trait of the breed. Our results provide insights into the native origin of the Chakouyi horse and indicate that Kazak and Mongolian horses played important roles in the formation of the Chakouyi horse. Genetic communication between the Chakouyi horse and other horse populations could be attributed, at least partially, to population migrations and trade activities along the ancient commercial routes.

A Novel Fractional-Order Chaotic Phase Synchronization Model for Visual Selection and Shifting.

Visual information processing is one of the fields of cognitive informatics. In this paper, a two-layer fractional-order chaotic network, which can simulate the mechanism of visual selection and shifting, is established. Unlike other object selection models, the proposed model introduces control units to select object. The first chaotic network layer of the model is used to implement image segmentation. A control layer is added as the second layer, consisting of a central neuron, which controls object selection and shifting. To implement visual selection and shifting, a strategy is proposed that can achieve different subnets corresponding to the objects in the first layer synchronizing with the central neuron at different time. The central unit acting as the central nervous system synchronizes with different subnets (hybrid systems), implementing the mechanism of visual selection and shifting in the human system. The proposed model corresponds better with the human visual system than the typical model of visual information encoding and transmission and provides new possibilities for further analysis of the mechanisms of the human cognitive system. The reasonability of the proposed model is verified by experiments using artificial and natural images.