Genome-wide transcriptional changes of ramie (Boehmeria nivea L. Gaud) in response to root-lesion nematode infection

Ramie fiber extracted from stem bark is one of the most important natural fibers. The root-lesion nematode (RLN) Pratylenchus coffeae is a major ramie pest and causes large fiber yield losses in China annually. The response mechanism of ramie to RLN infection is poorly understood. In this study, we identified genes that are potentially involved in the RLN-resistance in ramie using Illumina pair-end sequencing in two RLN-infected plants (Inf1 and Inf2) and two control plants (CO1 and CO2). Approximately 56.3, 51.7, 43.4, and 45.0 million sequencing reads were generated from the libraries of CO1, CO2, Inf1, and Inf2, respectively. De novo assembly for these 196 million reads yielded 50,486 unigenes with an average length of 853.3 bp. A total of 24,820 (49.2%) genes were annotated for their function. Comparison of gene expression levels between CO and Inf ramie revealed 777 differentially expressed genes (DEGs). The expression levels of 12 DEGs were further confirmed by real-time quantitative PCR (qRT-PCR). Pathway enrichment analysis showed that three pathways (phenylalanine metabolism, carotenoid biosynthesis, and phenylpropanoid biosynthesis) were strongly influenced by RLN infection. A series of candidate genes and pathways that may contribute to the defense response against RLN in ramie will be helpful for further improving resistance to RLN infection.     

Transcriptome profiling characterizes phosphate deficiency effects on carbohydrate metabolism in rice leaves

Phosphorus (P) is a structural component of nucleic acids and phospholipids and plays important roles in plant growth and development. P accumulation was significantly reduced (about 35%) in rice leaves from plants grown under low (32 μM) P compared to 320 μM P grown plants. Genome response to low P was examined using the rice 60K oligonucleotide DNA microarrays. At the threshold significance of |log₂| fold > 2.0, 21,033 genes (about 33.7% of all genes on the microarray) were affected by P deficiency. Among all genes on the microarray, 4271 genes were sorted into 51 metabolic pathways. Low P affected 1494 (35.0%) genes and the largest category of genes was related to sucrose degradation to ethanol and lactate pathway. To survey the role of P in rice, 25 pathways were selected based on number of affected genes. Among these pathways, cytosolic glycolysis contained the least number of upregulated but most down-regulated genes. Low P decreased glucose, pyruvate and chlorophyll, and genes related to carbon metabolism and chlorophyllide a biosynthesis. However, sucrose and starch levels increased. These results indicate that P nutrition affects diverse metabolic pathways mostly related to glucose, pyruvate, sucrose, starch, and chlorophyll a.     

Polymorphism of BMP4 gene in Indian goat breeds differing in prolificacy

Bone morphogenetic proteins (BMPs) are members of the TGF-β (transforming growth factor-beta) superfamily, of which BMP4 is the most important due to its crucial role in follicular growth and differentiation, cumulus expansion and ovulation. Reproduction is a crucial trait in goat breeding and based on the important role of BMP4 gene in reproduction it was considered as a possible candidate gene for the prolificacy of goats. The objective of the present study was to detect polymorphism in intronic, exonic and 3′ un-translated regions of BMP4 gene in Indian goats. Nine different goat breeds (Barbari, Beetal, Black Bengal, Malabari, Jakhrana (Twinning > 40%), Osmanabadi, Sangamneri (Twinning 20–30%), Sirohi and Ganjam (Twinning < 10%)) differing in prolificacy and geographic distribution were employed for polymorphism scanning. Cattle sequence (AC_000167.1) was used to design primers for the amplification of a targeted region followed by direct DNA sequencing to identify the genetic variations. Single nucleotide polymorphisms (SNPs) were not detected in exon 3, the intronic region and the 3′ flanking region. A SNP (G1534A) was identified in exon 2. It was a non-synonymous mutation resulting in an arginine to lysine change in a corresponding protein sequence. G to A transition at the 1534 locus revealed two genotypes GG and GA in the nine investigated goat breeds. The GG genotype was predominant with a genotype frequency of 0.98. The GA genotype was present in the Black Bengal as well as Jakhrana breed with a genotype frequency of 0.02. A microsatellite was identified in the 3′ flanking region, only 20 nucleotides downstream from the termination site of the coding region, as a short sequence with more than nineteen continuous and repeated CA dinucleotides. Since the gene is highly evolutionarily conserved, identification of a non-synonymous SNP (G1534A) in the coding region gains further importance. To our knowledge, this is the first report of a mutation in the coding region of the caprine BMP4 gene. But whether the reproduction trait of goat is associated with the BMP4 polymorphism, needs to be further defined by association studies in more populations so as to delineate an effect on it.     

Screening of indigenous goats for prolificacy associated DNA markers of sheep

The present study was undertaken to explore the genetic basis of caprine prolificacy and to screen indigenous goats for prolificacy associated markers of sheep in BMPR1B, GDF9 and BMP15 genes. To detect the associated mutations and identify novel allelic variants in the candidate genes, representative samples were collected from the breeding tract of indigenous goat breeds varying in prolificacy and geographic distribution. DNA was extracted and PCR amplification was done using primers designed or available in literature for the coding DNA sequence of candidate genes. Direct sequencing was done to identify the genetic variations. Mutations in the candidate genes associated with fecundity in sheep were not detected in Indian goats. Three non-synonymous SNPs (C818T, A959C and G1189A) were identified in exon 2 of GDF9 gene out of which mutation A959C has been associated with prolificacy in exotic goats. Two novel SNPs (G735A and C808G) were observed in exon 2 of BMP15 gene.     

Combined small RNA and degradome sequencing reveals microRNA regulation during immature maize embryo dedifferentiation

Genetic transformation of maize is highly dependent on the development of embryonic calli from the dedifferentiated immature embryo. To better understand the regulatory mechanism of immature embryo dedifferentiation, we generated four small RNA and degradome libraries from samples representing the major stages of dedifferentiation. More than 186 million raw reads of small RNA and degradome sequence data were generated. We detected 102 known miRNAs belonging to 23 miRNA families. In total, we identified 51, 70 and 63 differentially expressed miRNAs (DEMs) in the stage I, II, III samples, respectively, compared to the control. However, only 6 miRNAs were continually up-regulated by more than fivefold throughout the process of dedifferentiation. A total of 87 genes were identified as the targets of 21 DEM families. This group of targets was enriched in members of four significant pathways including plant hormone signal transduction, antigen processing and presentation, ECM-receptor interaction, and alpha-linolenic acid metabolism. The hormone signal transduction pathway appeared to be particularly significant, involving 21 of the targets. While the targets of the most significant DEMs have been proved to play essential roles in cell dedifferentiation. Our results provide important information regarding the regulatory networks that control immature embryo dedifferentiation in maize.     

Successful artificial insemination using semen frozen and stored by an ultrafreezer in the Majorera goat breed

The semen of five Majorera breed bucks was collected and processed to reach a final concentration of 200 × 10⁶ spermatozoa/straw in the extender containing 4% of glycerol and 12% of egg yolk. Two freezing techniques were assessed: (LN) straws were frozen and stored in liquid nitrogen, and (ULF) straws were frozen and stored in the ultra-low freezer at −152 °C. Semen quality (sperm motility, acrosome integrity and abnormal sperm cells percentages) was determined for different storage times (1, 30, 90 and 365 days of cryopreservation). Thereafter, 150 Majorera goats were assigned to four experimental groups: for groups LN-1 (n = 40) and LN-6 (n = 35), the goats were transcervically inseminated with frozen-thawed semen stored for 1 and 6 months in liquid nitrogen, respectively, while for groups ULF-1 (n = 40) and ULF-6 (n = 35), the goats were transcervically inseminated with frozen-thawed semen stored for 1 and 6 months in an ultra-low freezer at −152 °C, respectively. The pregnancy rate was determined by transabdominal ultrasound scanning; in addition, the kidding rate and prolificacy were recorded at parturition. In vitro results showed that the freezing protocol did not affect sperm quality with similar values for up to 1 year of cryopreservation. The kidding rates were not significantly different between experimental groups (43.6%, 38.5%, 42.8% and 40.0% for groups LN-1, ULF-1, LN-6 and ULF-6, respectively). In all experimental groups, the kidding rate and prolificacy were significantly higher (p < 0.01) in multiparous than in nulliparous goats. Therefore, the in vitro results and fertility trials confirmed the efficiency of the ULF technique for freezing and storage of goat semen.     

Interaction network analysis revealed biomarkers in myocardial infarction

Myocardial infarction (MI) is a serious heart disease. The cardiac cells of patients with MI will die due to lack of blood for a long time. In this study, we aimed to find new targets for MI diagnosis and therapy. We downloaded GSE22229 including 12 blood samples from healthy persons and GSE29111 from Gene Expression Omnibus including 36 blood samples from MI patients. Then we identified differentially expressed genes (DEGs) in patients with MI compared to normal controls with p value < 0.05 and |logFC| > 1. Furthermore, interaction network and sub-network of these of these DEGs were constructed by NetBox. Linker genes were screened in the Global Network database. The degree of linker genes were calculated by igraph package in R language. Gene ontology and kyoto encyclopedia of genes and genomes pathway analysis were performed for DEGs and network modules. A total of 246 DEGs were identified in MI, which were enriched in the immune response. In the interaction network, LCK, CD247, CD3D, FYN, HLA-DRA, IL2, CD8A CD3E, CD4, CD3G had high degree, among which CD3E, CD4, CD3G were DEGs while others were linker genes screened from Global Network database. Genes in the sub-network were also enriched in the immune response pathway. The genes with high degree may be biomarkers for MI diagnosis and therapy.     

Combined effects of four SNPs within goat PRLR gene on milk production traits

Xinong Saanen (SN, n = 323) and Guanzhong (GZ, n = 197) goat breeds were used to detect single nucleotide polymorphisms (SNPs) in the coding regions with their intron–exon boundaries of prolactin receptor (PRLR) gene by DNA sequencing, primer-introduced restriction analysis-polymerase chain reaction (PIRA-PCR) and PCR-restriction fragment length polymorphism (PCR-RFLP). Four novel SNPs (g.40452T > C, g.40471G > A, g.61677G > A and g.61865G > A) were identified. The g.61677G > A and g.61865G > A SNPs caused amino acid variations p.Ser485Asn and p.Val548Met, respectively. Both g.40452T>C and g.40471G>A loci were closely linked in SN and GZ goat breeds (r² > 0.33). In addition, there was also a close linkage between g.61677G>A and g.61865G>A loci in both goat breeds. Statistical results indicated that the g.40452T > C, g.61677G > A and g.61865G > A SNPs were significantly associated with milk production traits in SN and GZ breeds. Further analysis revealed that combinative genotype C1 (TTAAGGGG) was better than the others for milk yield in SN and GZ goat breeds. These results are consistent with the regulatory function of PRLR in mammary gland development, milk secretion, and expression of milk protein genes, and extend the spectrum of genetic variation of the caprine PRLR gene, which might contribute to goat genetic resources and breeding.