Obesity presents a serious threat to human health and broiler performance.  The expansion of adipose tissue is mainly regulated by the differentiation of preadipocytes.  The differentiation of preadipocytes is a complex biological process regulated by a variety of transcription factors and signaling pathways.  Previous studies have shown that the transcription factor HMG-box protein 1 (HBP1) can regulate the differentiation of mouse 3T3-L1 preadipocytes by activating the Wnt/β-catenin signaling pathway.  However, it is unclear whether HBP1 involved in chicken preadipocyte differentiation and which signaling pathways it regulates.  The aim of the current study was to explore the biological function and molecular regulatory mechanism of HBP1 in the differentiation of chicken preadipocytes.  The expression patterns of chicken HBP1 in abdominal adipose tissue and during preadipocyte differentiation were analyzed by RT-qPCR and Western blot.  The preadipocyte stably overexpressing HBP1 or knockout HBP1 and their control cell line were used to analyze the effect of HBP1 on preadipocyte differentiation by oil red O staining, RT-qPCR and Western blot.  Cignal 45-Pathway Reporter Array was used to screen the signal pathways that HBP1 regulates in the differentiation of chicken preadipocytes.  Chemical inhibitor and siRNA for signal transducer and activator of transcription 3 (STAT3) were used to analyze the effect of STAT3 on preadipocyte differentiation.  The preadipocyte stably overexpressing HBP1 was transfected by the siRNA of STAT3 or treated with a chemical inhibitor of STAT3 for the rescue experiment.  The results of gene expression analysis showed that the expression of HBP1 was related to abdominal fat deposition and preadipocyte differentiation in chickens.  The results of function gain and loss experiments indicated that overexpression/knockout of HBP1 in chicken preadipocytes could inhibit/promote (P<0.05) lipid droplet deposition and the expression of adipogenesis-related genes.  Mechanismlly, HBP1 activates (P<0.05) the signal transducer and activator of transcription 3 (STAT3) signaling pathway by targeting janus kinase 2 (JAK2) transcription.  The results of functional rescue experiments indicated that STAT3 signaling mediated the regulation of HBP1 on chicken preadipocyte differentiation.  In conclusion, HBP1 inhibits chicken preadipocyte differentiation by activating the STAT3 signaling pathway via directly enhancing JAK2 expression.  Our findings provided new insights for further analysis of the molecular genetic basis of chicken adipose tissue growth and development.

This study investigated the carbon (C) and nitrogen (N) gas emissions (N₂O, NH₃, CO₂ and CH₄) from solid pig manure management in China.  Gas emissions were quantified from static piles over 60 days during summer in China’s Yangtze River Basin, using Drager-Tube and static chamber-gas chromatography techniques.  High emissions of NH₃ and N₂O were observed at the early stage of storage, but high emission of CH₄ occured later during storage.  Overall, 62% of the total C in the original pile was lost; CO₂ and CH₄ emissions accounted for 57 and 0.2% of C lost respectively.  Over the same time, 41% of the total N in the original pile was lost; NH₃ and N₂O emissions accounted for 15 and 0.3% of N lost respectively.  The volatilization of NH₃ during storage in summer was 4.56 g NH₃ per kg dry weight.  The total greenhouse gas (GHG) emissions during storage accounted for 67.93 g CO₂ equivalent per kg dry weight; N₂O and CH₄ contributed to 46 and 55% of total GHG emissions respectively.  Given China’s major role in pig production, further attention should given to pig manure management to mitigate its contribution to atmospheric pollution.

Field studies were conducted in 2012 and 2013 to evaluate weed and insect control efficacy with glyphosate at 1 230 g ai (active ingredient) ha–1 and the insecticides acephate (728 g ai ha–1), carbosulfan (135 g ai ha–1), endosulfan (683 g ai ha–1), imidacloprid (32 g ai ha–1), or lambda-cyhalothrin (23 g ai ha–1), as well as glyphosate tank-mixed with these insecticides. Four of the most common weeds in cotton, common purslane, false daisy, goosegrass, and lambsquarters, were manually sown in the cotton field and treated with glyphosate alone or in combination with insecticides. Glyphosate efficacy, based on visual estimates of control and weed fresh weight at 21 d after treatment (DAT), was unaffected by the addition of insecticides. Four weeds were controlled by 93–97% and 86–100% (visual rating) and reduced weed fresh biomass by 98–99% and 96–100% with glyphosate alone and its combination with insecticides, respectively. Addition of glyphosate to acephate improved cotton aphid control compared with acephate alone. However, addition of glyphosate to carbosulfan, endosulfan, imidacloprid, or lambda-cyhalothrin did not affect the aphid control when compared with the insecticide alone treatments. These results indicate that cotton producers could potentially integrate weed and insect management strategies by choosing suitable insecticide mixing partners with glyphosate, thereby reducing the application costs without sacrificing the efficacy of the glyphosate or the insecticides.

The cultivated soybean (Glycine max (L.) Merr.) was distinguished from its wild progenitor Glycine soja Sieb. & Zucc. in growth period structure, by a shorter vegetative phase (V), a prolonged reproductive phase (R) and hence a larger R/V ratio. However, the genetic basis of the domestication of soybean from wild materials is unclear. Here, a panel of 123 cultivated and 97 wild accessions were genotyped using a set of 24 presence/absence variants (PAVs) while at the same time the materials were phenotyped with respect to flowering and maturity times at two trial sites located at very different latitudes. The major result of this study showed that variation at PAVs is informative for assessing patterns of genetic diversity in Glycine spp. The genotyping was largely consistent with the taxonomic status, although a few accessions were intermediate between the two major clades identified. Allelic diversity was much higher in the wild germplasm than in the cultivated materials. A significant domestication signal was detected at 11 of the PAVs at 0.01 level. In particular, this study has provided information for revealing the genetic basis of photoperiodism which was a prominent feature for the domestication of soybean. A significant marker-trait association with R/V ratio was detected at 14 of the PAVs, but stripping out population structure reduced this to three. These results will provide markers information for further finding of R/V related genes that can help to understand the domestication process and introgress novel genes in wild soybean to broaden the genetic base of modern soybean cultivars.

    Information on the center of genetic diversity of soybean (Glycine max) will be helpful not only for designing efficient strategies for breeding programs, but also for understanding the domestication and origin of this species. Here, we describe an analysis of genetic diversity based on simple-sequence repeat (SSR) variations within a core collection of 2 111 accessions of Chinese soybean landraces. Prior to the diversity assessment, the geographic origin of each accession was mapped. The map was then divided into grids each 2.5° in latitude and 5° in longitude. We found two regions that had higher number of alleles (NA) and greater polymorphic information content (PIC) values than the others. These regions are adjacently located within grid position of 30°–35°N×105°–110°E, which includes the valley of the middle and lower reaches of the Wei River, and the valley of the upper reaches of the Hanjiang River. It was also observed that in many regions, genetic diversity decreased with the increase in distance from the center. Another region, in northern Hebei Province (115°–120°E×40°–42.5°N), was observed having higher diversity than any surrounding regions, indicating that this is a sub-center of soybean diversity. Based on the presented results, the domestication and origin of soybean are also discussed.

Secreted frizzled-related protein 2 (SFRP2), a member of the SFRPs family, is associated with cell growth and differentiation in myogenesis. Our previous study suggested that SFRP2 was a potential target of microRNA (miRNA)-1/206, which was considered as myomiRs. To further explore the biological function and regulation mechanisms of the SFRP2 gene in porcine skeletal muscle development, we first analyzed the sequence structure of the porcine SFRP2 gene. Subsequently, we detected its tissue distribution in adult Tongcheng pigs (a Chinese indigenous breed) and investigated its dynamic expression in developmental skeletal muscle (13 prenatal and 7 postnatal time points) in Tongcheng pigs. An interaction analysis between SFRP2 and myomiRs was also performed. The results showed that the expression pattern of the SFRP2 varied greatly across diverse tissues. It exhibited abundant expression in prenatal skeletal muscle and peaked at 55 days post coitus (E55), and had a lower expression in postnatal skeletal muscle, indicating that the SFRP2 gene might affect porcine embryonic skeletal muscle development. Co-expression analysis revealed that the expression levels of SFRP2 correlated negatively with miRNA-1 (r=–0.570, P-value=0.009) and miRNA-206 (r=–0.546, P-value=0.013), but positively with SFRP1 (r=0.613, P-value=0.004). The bioinformatics analysis and dual luciferase assay verified that the SFRP2 was a putative target of miRNA-1/206 in pigs. Therefore, this study is helpful for understanding the biological function and molecular regulation of the SFRP2 gene during porcine skeletal muscle development.

Goosegrass is one of the worst agricultural weeds on a worldwide basis. Understanding of its interference impact in crop field will provide useful information for weed control programs. Field experiments were conducted during 2010–2012 to determine the influence of goosegrass density on cotton growth at the weed densities of 0, 0.125, 0.25, 0.5, 1, 2, and 4 plants m–1 of row. Seed cotton yield tended to decrease with the increase in weed density, and goosegrass at a density of 4 plants m–1 of row significantly reduced cotton yields by 20 to 27%. A density of 11.6–19.2 goosegrass plant m–1 of row would result in a 50% cotton yield loss from the maximum yield according to the hyperbolic decay regression model. Boll production was not affected in the early growing season. But boll numbers per plant were reduced about 25% at the density of 4 plants m–1 of row in the late growing season. Both cotton boll weight and seed numbers per boll were significantly reduced (8%) at 4 goosegrass plants m–1 of row. Cotton plant height, stem diameter and sympodial branch number were not affected as much as cotton yields by goosegrass competition. Seed index, lint percentage and lint fiber properties were unaffected by weed competition. Intraspecific competition resulted in density-dependent effects on weed biomass per plant, 142–387 g dry weight by harvest. Goosegrass biomass m–2 tended to increase with increasing weed density as indicated by a quadratic response. The adverse impact of goosegrass on cotton yield identified in this study has indicated the need of effective goosegrass management.

N6-methyladenosine (m6A) plays a key role in mammalian early embryonic development and cell lineage differentiation. However, the role and mechanisms of 18S ribosomal RNA (rRNA) m6A methyltransferase METTL5 in early embryonic development remain unclear. Here, we found that 18S rRNA m6A methyltransferase METTL5 plays an important role in porcine early embryonic development. METTL5 knockdown and overexpression significantly reduced the developmental efficiency of porcine early embryos and impaired cell lineage allocation. METTL5 knockdown apparently decreased the global translation efficiency in blastocyst, while METTL5 overexpression increased the global translation efficiency. Furthermore, METTL5 knockdown did not affect the abundance of CDX2 mRNA, but resulted in a significant reduction in CDX2 protein levels. Moreover, the low developmental efficiency and abnormal lineage distribution of METTL5 knockdown embryos could be rescued by CDX2 overexpression. Collectively, our results demonstrated that 18S rRNA methyltransferase METTL5 regulates porcine early embryonic development via modulating the translation of CDX2.

Skin and hair pigmentation in animals involve intricate regulatory processes. Circular RNA-microRNA (circRNA-miRNA) networks play vital roles in various biological processes, although their involvement in pigmentation has been underexplored. This study focused on circKIF27 expression, which differs significantly in melanocytes isolated from white and brown Boer coat-colored skin, yet its function remains unclear. Here, we investigated the roles of circKIF27 in melanocytes. In situ hybridization assays demonstrated that circKIF27 is expressed in the cytoplasm of melanocytes. qRT-PCR results revealed differential expression levels of circKIF27 in various tissues of male and female goats. Functional analysis showed that circKIF27 overexpression in melanocytes significantly reduces melanin production (P<0.01) and inhibits cell proliferation (P<0.0001). Bioinformatics analysis identified a putative miR-129-5p binding site on circKIF27, and luciferase reporter assays confirmed their interaction. Overexpression of miR-129-5p in melanocytes enhances melanin production (P<0.01) and promotes cell proliferation (P<0.05). Further analysis revealed that TGIF2 possesses two potential miR-129-5p binding sites, and miR-129-5p overexpression in melanocytes significantly inhibits TGIF2 expression (P<0.0001), suggesting a targeted regulatory relationship between these two molecules. Silencing TGIF2 expression via siRNA-TGIF2 transfection leads to increased melanocyte proliferation (P<0.0001) and increased melanin production (P<0.01). These findings highlight the involvement of the circRNA-miRNA network in pigmentation, offering new insights into the molecular mechanisms underlying pigmentation and guiding animal hair color breeding strategies.