An NLR paralog Pit2 generated from tandem duplication of Pit1 fine-tunes Pit1 localization and function.

NLR family proteins act as intracellular receptors. Gene duplication amplifies the number of NLR genes, and subsequent mutations occasionally provide modifications to the second gene that benefits immunity. However, evolutionary processes after gene duplication and functional relationships between duplicated NLRs remain largely unclear. Here, we report that the rice NLR protein Pit1 is associated with its paralogue Pit2. The two are required for the resistance to rice blast fungus but have different functions: Pit1 induces cell death, while Pit2 competitively suppresses Pit1-mediated cell death. During evolution, the suppression of Pit1 by Pit2 was probably generated through positive selection on two fate-determining residues in the NB-ARC domain of Pit2, which account for functional differences between Pit1 and Pit2. Consequently, Pit2 lost its plasma membrane localization but acquired a new function to interfere with Pit1 in the cytosol. These findings illuminate the evolutionary trajectory of tandemly duplicated NLR genes after gene duplication.

HaCeD-Seq: a Novel Method for Reliable and Easy Estimation About the Fish Population Using Haplotype Count from eDNA.

It is common to count the numbers of specified fish in the field after speciation of captured fish according to their morphology and to subject these counts to appropriate statistical analyses. In recent years, a non-invasive method to estimate the abundance of a particular fish species using environmental DNA (eDNA) has been developed. However, it is still difficult to determine accurate numbers of fish species using such method. We predict that the estimation of individuals of certain fish species in the field is more accurate and easier by using haplotypes of DNA in the fast evolutionary region. Therefore, we focused on the regulatory region (D-loop) in mitochondrial DNA, which is known to have a high genetic variation at the intraspecific level of the targeting eel. We investigated haplotype diversity in eel at first and then determined the number of D-loop haplotypes contained in their exfoliated cells in breeding water. Finally, we developed a novel analytical method, HaCeD-Seq, to estimate the number of individuals based on the abovementioned data.

Identification of genes expressed preferentially in the honeybee mushroom bodies by combination of differential display and cDNA microarray.

To clarify the molecular basis underlying the neural function of the honeybee mushroom bodies (MBs), we identified three genes preferentially expressed in MB using cDNA microarrays containing 480 differential display-positive candidate cDNAs expressed locally or differentially, dependent on caste/aggressive behavior in the honeybee brain. One of the cDNAs encodes a putative type I inositol 1,4,5-trisphosphate (IP(3)) 5-phosphatase and was expressed preferentially in one of two types of intrinsic MB neurons, the large-type Kenyon cells, suggesting that IP(3)-mediated Ca(2+) signaling is enhanced in these neurons.

Effect of exercise on hepatic gene expression in rats: a microarray analysis.

Exercise has various beneficial effects on liver function, enhancing both nutrient metabolism and antioxidant capacity. To explore the molecular mechanisms underlying these changes, we used a high-density cDNA microarray containing probe sets for 2,845 genes to analyze changes of gene transcription in the livers of rats after 4 weeks of running exercise. In comparison with sedentary animals, 105 genes were up-regulated and 86 genes were down-regulated, including genes with unknown functions. In addition, we detected an increase of p38 mitogen-activated protein kinase and protein and of the protein for signal transducer and activator of transcription 3 (stat3), corresponding to the increase of these mRNAs shown by microarray analysis. These results indicate that long-term exercise can alter liver function via changes of gene expression, especially the genes encoding signal transduction proteins such as p38 and stat3.

The first symbiont-free genome sequence of marine red alga, Susabi-nori (Pyropia yezoensis).

Nori, a marine red alga, is one of the most profitable mariculture crops in the world. However, the biological properties of this macroalga are poorly understood at the molecular level. In this study, we determined the draft genome sequence of susabi-nori (Pyropia yezoensis) using next-generation sequencing platforms. For sequencing, thalli of P. yezoensis were washed to remove bacteria attached on the cell surface and enzymatically prepared as purified protoplasts. The assembled contig size of the P. yezoensis nuclear genome was approximately 43 megabases (Mb), which is an order of magnitude smaller than the previously estimated genome size. A total of 10,327 gene models were predicted and about 60% of the genes validated lack introns and the other genes have shorter introns compared to large-genome algae, which is consistent with the compact size of the P. yezoensis genome. A sequence homology search showed that 3,611 genes (35%) are functionally unknown and only 2,069 gene groups are in common with those of the unicellular red alga, Cyanidioschyzon merolae. As color trait determinants of red algae, light-harvesting genes involved in the phycobilisome were predicted from the P. yezoensis nuclear genome. In particular, we found a second homolog of phycobilisome-degradation gene, which is usually chloroplast-encoded, possibly providing a novel target for color fading of susabi-nori in aquaculture. These findings shed light on unexplained features of macroalgal genes and genomes, and suggest that the genome of P. yezoensis is a promising model genome of marine red algae.

cDNA microarray analysis of individual Duchenne muscular dystrophy patients.

We have developed a novel cDNA microarray encompassing 3500 genes expressed in skeletal muscle. With this system, we have performed the first study of gene expression in samples from individual patients. We analyzed muscle specimen from individuals with Duchenne muscular dystrophy to identify differences among patients. Among the variably expressed genes, we focused on the expression of the genes encoding HLA-related proteins, myosin light chains and troponin Ts as markers of muscle necrosis and regeneration. The expression patterns of these genes correlated with the severity of dystrophic changes on histological examination. Our cDNA microarray provides a new tool to investigate molecular muscle pathology.

Prepro-tachykinin gene expression in the brain of the honeybee Apis mellifera.

We have recently identified a tachykinin-related peptide (AmTRP) from the mushroom bodies (MBs) of the brain of the honeybee Apis mellifera L. by using direct matrix-assisted laser desorption/ionization with time-of-flight mass spectometry and have isolated its cDNA. Here, we have examined prepro-AmTRP gene expression in the honeybee brain by using in situ hybridization. The prepro-AmTRP gene is expressed predominantly in the MBs and in some neurons located in the optic and antennal lobes. cDNA microarray studies have revealed that AmTRP expression is enriched in the MBs compared with other brain regions. There is no difference in AmTRP-expressing cells among worker, queen, and drone brains, suggesting that the cell types that express the prepro-AmTRP gene do not change according to division of labor, sex, or caste. The unique expression pattern of the prepro-AmTRP gene suggests that AmTRPs function as neuromodulators in the MBs of the honeybee brain.

A microarray-based method for detecting methylated loci.

CpG island DNA methylation plays an important role in regulating gene expression in development and carcinogenesis. We developed a new microarray-based method called methylation amplification DNA chip (MAD) for detecting differences in methylation. In this method, only methylated CpG islands from the two samples that we wanted to compare were amplified and used for hybridization. The resource material for the microarray was derived from the methylated DNA library of the sample in which we wanted to detect hypermethylation. Choosing the methylated DNA library as the resource material of the microarray increased the percentage of DNA fragments derived from hypermethylated loci on the microarray.