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Soybean is one of the most important oilseed crops, and its seed oil content directly determines the economic value and industrial applicability worldwide. However, how soybean seed oil accumulation is regulated remains less understood. Here, through RNA‐seq analysis and screening for the interacting proteins of a positive oil regulator GmNFYA, we identified an AP2/ERF‐type transcription factor GmERFA, which acts as a negative regulator of oil accumulation. Knocking out GmERFA and its homologue by genome editing increased seed total fatty acid content, while overexpression of GmERFA leads to a reduced fatty acid level in transgenic soybean. GmERFA interacts with GmNFYA to inhibit its transcriptional activation of GmbZIP123 and GmZF392, both of which promotes seed oil accumulation. The GmERFA also directly binds to the promoter regions of GmbZIP123 and GmZF392 and represses their gene expression. Through further analysis of more than 300 soybean accessions, an elite allele of ERFA with Hap3 promoter is identified to correlate with lower promoter activity, lower gene expression but higher seed oil content. The Hap3 ERFA may be selected and fixed during soybean domestication. Together, our study discovers a brake gene for oil accumulation and may function in a novel molecular network GmERFA‐GmNFYA‐GmbZIP123/GmZF392 at the later stage of soybean seed development. Manipulation of the gene, its elite allele, and the whole pathway should benefit breeding for high oil cultivars in soybean.

PurposeCan mobile instant messaging (MIM) make people entering into the state of cognitive absorption (CA)? The purpose of this paper is to investigate whether CA can help explain users’ satisfaction during the process of MIM, while interactivity and interest are operated as determinants of CA as well as directly associated with satisfaction.Design/methodology/approachThis study proposes a satisfaction model that is adapted from the CA theory to investigate MIMs users’ satisfaction with two determinants, interactivity and interest. Specifically, CA is operated as a second-order formative construct with four reflective dimensions, including curiosity, focused immersion, heightened enjoyment and temporal dissociation. Partial least square structural equation modeling was applied to evaluate the causal links of the model with the data collected from 472 LINE users who all had long using experience.FindingsThe results showed that CA in MIM, fueled by interactivity and interest, is positively related to satisfaction. Interactivity and interest themselves were also significantly associated with satisfaction. Among them, interactivity has the most influence on satisfaction, followed by interest and CA. Surprised, curiosity and focused immersion did not formative CA in MIM.Research limitations/implicationsThe present study focuses on user satisfaction of a specific MIM (LINE) and collects data from users within a specific region (Taiwan). Other researchers must take these constrains into consideration when referencing this study.Originality/valueTo the best of the authors’ knowledge, this is the first study which confirmed that people still enter into the state of CA when using MIM on smartphone, even though the using environment is drastically different from that on desktop. It indicates that prior theories in CA with desktop-based software are still applicable and serve as a basis for more studies in the mobile context to a certain extent, but other factors should also be considered. As interactivity and interest are conducive to CA, leading to user satisfaction, an MIM app can be more popular if the two factors are incorporated.

The discipline’s historic prominence in China is underpinned by its crucial value to industrial processes. Committed funding sees it leading the way in emerging areas, such as nanomaterials. The discipline’s historic prominence in China is underpinned by its crucial value to industrial processes. Committed funding sees it leading the way in emerging areas, such as nanomaterials.