<div>Background: The insulin-like growth factor-2 mRNA-binding proteins 1, 2 and 3 (IGF2BP1, IGF2BP2, IGF2BP3) belong to a conserved family of RNA-binding, oncofetal proteins, these RNA-binding proteins (RBPs) modulate important aspects of cell function during development and in cancer. However, the structural variations of IGF2BPs gene generated by retrotransposon insertion have not yet been reported. 
 
Methods: In this study, the bioinformatic prediction was performed to screen for retrotransposon insertion polymorphisms (RIPs) in IGF2BP genes.Sixteen predicted RIPs in IGF2BP genes were identified and three RIPs caused by the youngest SINEA1 retrotransposons and located in IGF2BP3 introns were verified by PCR.&nbsp; 
 
Result:&nbsp;Polymorphisms of these three RIPs in commercial breeds are poor, but in Chinese native pig breeds, all three RIPs showed abundant polymorphisms. This is consistent with the intensive selection of commercial pigs. In summary, our data suggested that there are at least three RIPs caused by SINE retrotransposons in the IGF2BP3 gene. And they shows different polymorphic distribution in Chinese native and commercial breeds, suggesting that they can be used for population genetic analysis.</div>

Three SINE Insertion Polymorphic Sites were Identified in Insulin-like Growth Factor 2 mRNA-binding Proteins

Background: Knowledge about the spatial variability of soil field capacity is important to understand the nuances of soil water holding capacity and how to manage it so that the farm does not need to irrigate or suffer from a drought. 
 
Methods: A study was conducted in order to evaluate the spatial variability of filed capacity of Lalgudi block of Tiruchirapalli district located in Tamil Nadu, India. The soil samples were collected from different locations in Lalgudi block and the field capacity of the soil samples was estimated by using pressure plate apparatus for the soil samples. Geostatistics was applied for identifying the best interpolation method to acquire the spatial map of field capacity. Ordinary kriging and Disjunctive kriging fitted with six models via circular, spherical, exponential, Gaussian, pentaspherical and sine-hole effect model were used for spatial prediction of field capacity. 
 
Result: Initial data exploration resulted in non-normal distribution of field capacity and hence log-transformation was done before kriging was used. The semivariograms showed that the field capacity dataset had moderate spatial dependency in case of both kriging methods and with six models except Sine-Hole effect model in disjunctive kriging. A maximum range of 10709 m was observed in Exponential and Sine-Hole Effect model in ordinary kriging. The cross validation statistics indicated that the circular model in disjunctive kriging gave lesser root mean square value. The significant variability of field capacity should be taken into account in soil management practices.

Three SINE Insertion Polymorphic Sites were Identified in Insulin-like Growth Factor 2 mRNA-binding Proteins

Spatial Variability Analysis of Soil Field Capacity at Lalgudi Block in Tamil Nadu using Geostatistical Models