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Wolfgang Busch

Publications and source records attributed to Wolfgang Busch.

6 recordsLinked to original sources
PubMed2026

ClearDepthIAS enables automated high-throughput quantification of roots in soil-grown taproot crops.

Understanding root system architecture is critical for improving crop productivity and resilience, yet phenotyping root traits such as root growth angle and rooting depth remains technically challenging, especially at high throughput. Here, we present ClearDepthIAS, a high-throughput imaging and analysis platform that enables nondestructive, automated quantification of root architecture traits in taproot system crops. By capturing and stitching 360° images of roots growing along the transparent walls of pots and applying deep learning-based segmentation (ClearDepth-WRT), we measured wall root shallowness (WRS)-a proxy for root growth angle-with high precision. We demonstrated for the tap root systems of soybean and canola that the system accurately detects root tips, quantifies their vertical distribution, and extracts biologically meaningful traits such as root area, distribution indices, and growth angles. Validation experiments in canola and soybean demonstrated that WRS can correlate with root crown architecture in mature plants, both in greenhouse and field settings. Furthermore, WRS and root distribution indices derived from ClearDepthIAS are predictors of early root architecture and can be correlated with root biomass distribution across soil depths under field conditions; however, environmental interactions may influence these relationships and weaken or even negate such correlations, as observed when comparing field to field variation in root system architecture. Our system enables efficient phenotyping of genetically diverse populations, with medium to high trait heritability, supporting its utility for genome-wide association studies and breeding. ClearDepthIAS accelerates the development of root ideotypes for improved resource acquisition and carbon sequestration, offering a scalable tool for supporting climate-resilient agriculture.

Plant Roots↗
PubMed2003

Two families of mechanosensitive channel proteins.

Mechanosensitive (MS) channels that provide protection against hypoosmotic shock are found in the membranes of organisms from the three domains of life: bacteria, archaea, and eucarya. Two families of ubiquitous MS channels are recognized, and these have been designated the MscL and MscS families. A high-resolution X-ray crystallographic structure is available for a member of the MscL family, and extensive molecular genetic, biophysical, and biochemical studies conducted in many laboratories have allowed postulation of a gating mechanism allowing the interconversion of a tightly closed state and an open state that controls transmembrane ion and metabolite fluxes. In contrast to the MscL channel proteins, which are of uniform topology, the much larger MscS family includes protein members with topologies that are predicted to vary from 3 to 11 alpha-helical transmembrane segments (TMSs) per polypeptide chain. Sequence analyses reveal that the three C-terminal TMSs of MscS channel proteins are conserved among family members and that the third of these three TMSs exhibits a 20-residue motif that is shared by the channel-forming TMS (TMS 1) of the MscL proteins. We propose that this C-terminal TMS in MscS family homologues serves as the channel-forming helix in a homooligomeric structure. The presence of a conserved residue pattern for the putative channel-forming TMSs in the MscL and MscS family proteins suggests a common structural organization, gating mechanism, and evolutionary origin.

Amino Acid Sequence↗
PubMed2003

Tooth keys.

Explore the source record for details and available documents.

Dental Instruments↗
PubMed2002

[Dissection or irradiation of the axilla in postmenopausal patients with breast cancer? Long-term results and long-term effects in 655 patients].

BACKGROUND: Until 1993 postmenopausal women with breast cancer did not receive adjuvant chemotherapy in our institution even if axillary nodes were involved. So in these patients axillary dissection had no diagnostic value for further treatment. Therefore we started a prospective study in which dissection of axillary nodes was replaced by irradiation in postmenopausal cN0 patients. PATIENTS AND METHODS: From 1986 to 1993 we irradiated 655 patients with breast cancer after breast conserving surgery (BET). In all 144 cN1- and all 209 premenopausal cN0-patients axillary dissection was recommended. Of 302 postmenopausal cN0 patients 129 had breast surgery in our institution. In a total of 129 patients axillary dissection was replaced by irradiation (AxRT-group). They were compared with all 173 patients referred from other hospitals for irradiation after both breast conserving surgery and axillary dissection (AxOP-group). Dissected patients with gross tumor involvement of the axilla or less than eight nodes removed had additional axillary irradiation. Patients age, tumor size, vessel-, muscle- or skin invasion and grading were similar in both groups (Table 1). However, in the AxRT-group there were more patients with negative hormone receptors, multifocal and medial sited tumors. Late complications after dissection and/or irradiation of the axilla were evaluated in 502 patients free of locoregional relapse and with a minimal follow up of 3 years (median 9.5 years). RESULTS: After 5, 10 and 15 years tumor free survival rates were 90%, 82% and 79% in the AxOP-group vs 91%, 82% and 80% in the AxRT-group, respectively (p = 0.95) (Figure 1). Overall survival (p = 0.98) (Figure 2), local (p = 0.47) and axillary control (p = 0.12) were equal in both groups (Figures 3 and 4). However, serious problems like lymphedema of the arm, pain, mobility impairment occurred in 26% patients following axillary dissection but only in 1% after axillary irradiation. No difference in late sequelae after axillary dissection with or without irradiation could be detected (26 vs 27%) (Table 2). CONCLUSION: In postmenopausal cN0-patients axillary dissection should be replaced by axillary irradiation, since it offers the same chance for cure with much lower morbidity.

Aged↗
PubMed2002

The transporter classification (TC) system, 2002.

The Transporter Classification (TC) system is a functional/phylogenetic system designed for the classification of all transmembrane transport proteins found in living organisms on Earth. It parallels but differs from the strictly functional EC system developed decades ago by the Enzyme Commission of the International Union of Biochemistry and Molecular Biology (IUBMB) for the classification of enzymes. Recently, the TC system has been adopted by the IUBMB as the internationally acclaimed system for the classification of transporters. Here we present the characteristics of the nearly 400 families of transport systems included in the TC system and provide statistical analyses of these families and their constituent proteins. Specifically, we analyze the transporter types for size and topological differences and analyze the families for the numbers and organismal sources of their constituent members. We show that channels and carriers exhibit distinctive structural and topological features. Bacterial-specific families outnumber eukaryotic-specific families about 2 to 1, while ubiquitous families, found in all three domains of life, are about half as numerous as eukaryotic-specific families. The results argue against appreciable horizontal transfer of genes encoding transporters between the three domains of life over the last 2 billion years.

Animals↗