Acetylcholinesterase (AChE) was purified by affinity chromatography from two populations of the oriental migratory locust, Locusta migratoria manilensis (Meyen), collected from Huanghua and Pingshan Counties, Hebei Province of China. The purification factors and yields were 1661-fold and 19.3%, respectively, for the Huanghua population, and 3897-fold and 39.6% for the Pingshan population. Both the purification factor and yield were significantly lower in the Huanghua population than in the Pingshan population. AChE activity was almost completely inhibited by 10−6 M eserine and BW284C51, but ?5.8% of AChE activity was inhibited by ethopropazine at the same concentration, suggesting that purified AChE from either population was a typical insect AChE. However, AChE purified from the Huanghua population was 62-, 2.0-, and 1.6-fold less sensitive to inhibition by the three organophosphate compounds, chlorpyrifos oxon, demeton-S-methyl, and paraoxon, respectively, than that from the Pingshan population. Significantly lower purification factor and low yield associated with reduced sensitivity of AChE to inhibition by the organophosphates indicated that AChE purified from the Huanghua population was biochemically and pharmacologically different from that of the Pingshan population. Reduced sensitivity of AChE appeared to contribute to organophosphate resistance in the locust from Huanghua County, where insecticides have commonly been used to manage outbreaks of the locust. 相似文献
1. There has been substantial research focused on the roles of microRNAs (miRNAs) and Piwi-interacting RNAs (piRNAs) derived from mammalian spermatozoa; however, comparatively little is known about the role of spermatozoa-derived miRNAs and piRNAs within breeding cockerels’ spermatozoa.
2. A small RNA library of cockerels’ spermatozoa was constructed using Illumina high-throughput sequencing technology. Unique sequences with lengths of 18–26 nucleotides were mapped to miRBase 21.0 and unique sequences with lengths of 25–37 nucleotides were mapped to a piRNA database. A total of 1311 miRNAs and 2448 potential piRNAs were identified. Based on stem-loop qRT-PCR, 8 miRNAs were validated.
3. Potential target genes of the abundant miRNAs were predicted, and further Kyoto Encyclopedia of Genes and Genomes database (KEGG) and Gene Ontology (GO) analyses were performed, which revealed that some candidate miRNAs were involved in the spermatogenesis process, spermatozoa epigenetic programming and further embryonic development.
5. GO and KEGG analyses based on mapping genes of expressed piRNAs were performed, which revealed that spermatozoal piRNAs could play important regulatory roles in embryonic development of offspring.
6. The search for endogenous spermatozoa miRNAs and piRNAs will contribute to a preliminary database for functional and molecular mechanistic studies in embryonic development and spermatozoa epigenetic programming. 相似文献
Bone weight, defined as the total weight of the bones in all the forequarter and hindquarter joints, can reflect somebody conformation traits and skeletal diseases. To gain a better understanding of the genetic determinants of bone weight, we used a composite strategy including multimarker and rare‐marker association to perform genomewide association studies (GWAS) for that character in Simmental cattle. Our strategy consisted of three models: (i) A traditional linear mixed model (LMM) was applied (Q+K‐LMM); (ii) single nucleotide polymorphisms (SNPs) with p‐values less than .05 from the LMM were selected to undergo the least absolute shrinkage and selector operator (Lasso) in the second stage (LMM‐Lasso); (iii) genes containing two or more rare SNPs were examined by performing the sequence kernel association test (gene‐based SKAT). A total of 1,225 cattle were genotyped with an Illumina BovineHD BeadChip containing 770,000 SNPs. After the quality‐control procedures, 1,217 individuals with 608,696 common SNPs and 105,787 rare SNPs (with 0.001 < minor allele frequency [MAF] <0.05) remained in the sample for analysis. A traditional LMM successfully mapped three genes associated with bone weight, while LMM‐Lasso identified nine genes, which included all genes found by traditional LMM. Only a single gene, EPHB3, surpassed the significance threshold after Bonferroni correction in gene‐based SKAT. In conclusion, based on functional annotation and results from previous endeavours, we believe that LCORL, RIMS2, LAP3, PRKAR2B, CHSY1, MAP2K6 and EPHB3 are candidate genes for bone weight. In general, such a comprehensive strategy for GWAS may be useful for researchers seeking to probe the full genetic architecture underlying economic traits in livestock. 相似文献