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Xiong, B.

Publications and source records attributed to Xiong, B..

21 records · Page 2Linked to original sources

Rapid Neural Reorganization during Retrieval Practice Predicts Subsequent Long-term Retention and False Memory

Active retrieval can induce changes to the strength and content of a memory, yielding enhanced or distorted subsequent recall. But how consolidation influences these retrieval-induced seemingly contradictory outcomes remains unknown. Here we show rapid neural reorganization over eight runs of retrieval practice predicted subsequent recall. Behaviorally, retrieval practice boosted memory following a 24-hour (long-term) but not a 30-minute delay, and increased false memory at both delays. Long-term retention gains were predicted by multi-voxel representation distinctiveness in the posterior parietal cortex that increased progressively over retrieval practice. False memory was predicted by unstable representation distinctiveness in the medial temporal lobe during retrieval practice. Memory-related neural networks gradually reconfigured over retrieval practice, with the ventrolateral and medial prefrontal cortex acting as hubs for functional connections that predicted long-term retention gains and false memory outcomes respectively. Our findings demonstrate dynamic neural reorganization during retrieval practice, through which memories are arranged into discrete yet malleable representations for subsequent consolidation.

neuroscience↗

Normalization of generalized transcript degradation improves accuracy in RNA-seq analysis

RNA-seq is a high-throughput assay to profile transcriptional activities in cells. Here we show that transcript degradation is gene-/sample-specific and presents a common and major source that may substantially bias the results in RNA-seq analysis. Most existing global normalization approaches are ineffective to correct for the degradation bias. We propose a novel pipeline named DegNorm (stands for degradation normalization) to adjust read counts for transcript degradation heterogeneity on a gene-by-gene basis while simultaneously controlling the sequencing depth. The robust and effective performance of this method is demonstrated in an extensive set of real RNA-seq data and simulated data.

bioinformatics↗

Illumina sequencing analysis of the ruminal microbiota in high-yield and low-yield lactating dairy cows

In this study, differences in the ruminal bacterial community between high-yield and low-yield lactating dairy cows fed the same diets were investigated. Sixteen lactating dairy cows with similar parity were divided into two groups based on their milk yield: high-yield (HY) and low-yield (LY) groups. On day 21, rumen content samples were collected, and the microbiota composition was determined using Illumina MiSeq sequencing of the 16S rRNA gene. During the study period, dry matter intake (DMI) and milk yield were measured daily, and milk composition was assessed 3 times per week. The results showed that the milk of the LY group tended to have higher fat (P=0.08), protein (P=0.01) and total solid (P=0.04) contents than that of the HY group, though the HY group had higher ruminal acetate (P=0.05), propionate (P=0.02) and volatile fatty acid (VFA) (P=0.02) concentrations. Principal coordinate analysis indicated significant differences in ruminal bacterial community composition and structure between the HY group and LY group. Overall, Bacteroidetes (HY group: 52.91{+/-}3.06%; LY group: 61.88{+/-}3.03%) was the predominant phylum, followed by Firmicutes (HY group: 41.10{+/-}2.74%; LY group: 32.11{+/-}2.97%). The abundances of Ruminococcus 2, Lachnospiraceae and Eubacterium coprostanoligenes were significantly higher in the HY group than in the LY group. In addition, 3 genera--Anaerostipes, Bacteroidales and Anaeroplasma--were identified as biomarker species with the greatest impacts on the ruminal community structure in the LY group. These findings facilitate the understanding of bacterial synthesis within the rumen and reveal an important mechanism underlying differences in milk production in dairy cows.

microbiology↗